Epidemiology and Medical statistics Books

Book SynopsisThis book presents the methodology and applications of a range of important topics in statistics, and is designed for graduate students in Statistics and Biostatistics and for medical researchers. Illustrations and more than ninety exercises with solutions are presented.Table of ContentsTopics for illustrations, examples and exercises xv Preface xvii List of abbreviations xix 1 Statistical measures 1 1.1 Introduction 1 1.2 Mean, mode and median 2 1.3 Variance and standard deviation 3 1.4 Quartiles, deciles and percentiles 4 1.5 Skewness and kurtosis 5 1.6 Frequency distributions 6 1.7 Covariance and correlation 7 1.8 Joint frequency distribution 9 1.9 Linear transformation of the observations 10 1.10 Linear combinations of two sets of observations 10 Exercises 11 2 Probability, random variable, expected value and variance 14 2.1 Introduction 14 2.2 Events and probabilities 14 2.3 Mutually exclusive events 15 2.4 Independent and dependent events 15 2.5 Addition of probabilities 16 2.6 Bayes’ theorem 16 2.7 Random variables and probability distributions 17 2.8 Expected value, variance and standard deviation 17 2.9 Moments of a distribution 18 Exercises 18 3 Odds ratios, relative risk, sensitivity, specificity and the ROC curve 19 3.1 Introduction 19 3.2 Odds ratio 19 3.3 Relative risk 20 3.4 Sensitivity and specificity 21 3.5 The receiver operating characteristic (ROC) curve 22 Exercises 22 4 Probability distributions, expectations, variances and correlation 24 4.1 Introduction 24 4.2 Probability distribution of a discrete random variable 25 4.3 Discrete distributions 25 4.4 Continuous distributions 29 4.5 Joint distribution of two discrete random variables 34 4.6 Bivariate normal distribution 37 Exercises 38 5 Means, standard errors and confidence limits 40 5.1 Introduction 40 5.2 Expectation, variance and standard error (S.E.) of the sample mean 41 5.3 Estimation of the variance and standard error 42 5.4 Confidence limits for the mean 43 5.5 Estimator and confidence limits for the difference of two means 44 5.6 Approximate confidence limits for the difference of two means 46 5.7 Matched samples and paired comparisons 47 5.8 Confidence limits for the variance 48 5.9 Confidence limits for the ratio of two variances 49 5.10 Least squares and maximum likelihood methods of estimation 49 Exercises 51 6 Proportions, odds ratios and relative risks: Estimation and confidence limits 54 6.1 Introduction 54 6.2 A single proportion 54 6.3 Confidence limits for the proportion 55 6.4 Difference of two proportions or percentages 56 6.5 Combining proportions from independent samples 56 6.6 More than two classes or categories 57 6.7 Odds ratio 58 6.8 Relative risk 59 Exercises 59 7 Tests of hypotheses: Means and variances 62 7.1 Introduction 62 7.2 Principle steps for the tests of a hypothesis 63 7.3 Right-sided alternative, test statistic and critical region 65 7.4 Left-sided alternative and the critical region 69 7.5 Two-sided alternative, critical region and the p-value 72 7.6 Difference between two means: Variances known 75 7.7 Matched samples and paired comparison 77 7.8 Test for the variance 77 7.9 Test for the equality of two variances 78 7.10 Homogeneity of variances 79 Exercises 80 8 Tests of hypotheses: Proportions and percentages 82 8.1 A single proportion 82 8.2 Right-sided alternative 82 8.3 Left-sided alternative 85 8.4 Two-sided alternative 87 8.5 Difference of two proportions 90 8.6 Specified difference of two proportions 95 8.7 Equality of two or more proportions 95 8.8 A common proportion 96 Exercises 97 9 The Chisquare statistic 99 9.1 Introduction 99 9.2 The test statistic 99 9.3 Test of goodness of fit 101 9.4 Test of independence: (r x c) classification 101 9.5 Test of independence: (2x2) classification 104 Exercises 107 10 Regression and correlation 110 10.1 Introduction 110 10.2 The regression model: One independent variable 110 10.3 Regression on two independent variables 118 10.4 Multiple regression: The least squares estimation 124 10.5 Indicator variables 132 10.6 Regression through the origin 135 10.7 Estimation of trends 136 10.8 Logistic regression and the odds ratio 138 10.9 Weighted Least Squares (WLS) estimator 141 10.10 Correlation 142 10.11 Further topics in regression 144 Exercises 148 11 Analysis of variance and covariance: Designs of experiments 152 11.1 Introduction 152 11.2 One-way classification: Balanced design 153 11.3 One-way random effects model: Balanced design 155 11.4 Inference for the variance components and the mean 155 11.5 One-way classification: Unbalanced design and fixed effects 157 11.6 Unbalanced one-way classification: Random effects 159 11.7 Intraclass correlation 160 11.8 Analysis of covariance: The balanced design 161 11.9 Analysis of covariance: Unbalanced design 165 11.10 Randomized blocks 168 11.11 Repeated measures design 170 11.12 Latin squares 172 11.13 Cross-over design 174 11.14 Two-way cross-classification 175 11.15 Missing observations in the designs of experiments 184 Exercises 186 12 Meta-analysis 190 12.1 Introduction 190 12.2 Illustrations of large-scale studies 190 12.3 Fixed effects model for combining the estimates 191 12.4 Random effects model for combining the estimates 193 12.5 Alternative estimators for σ2 α 194 12.6 Tests of hypotheses and confidence limits for the variance components 194 Exercises 195 13 Survival analysis 197 13.1 Introduction 197 13.2 Survival and hazard functions 198 13.3 Kaplan-Meir product-limit estimator 198 13.4 Standard error of Ŝ(tm) and confidence limits for S(tm) 199 13.5 Confidence limits for S(tm) with the right-censored observations 199 13.6 Log-Rank test for the equality of two survival distributions 201 13.7 Cox’s proportional hazard model 202 Exercises 203 14 Nonparametric statistics 205 14.1 Introduction 205 14.2 Spearman’s rank correlation coefficient 205 14.3 The Sign test 206 14.4 Wilcoxon (1945) Matched-pairs Signed-ranks test 208 14.5 Wilcoxon’s test for the equality of the distributions of two non-normal populations with unpaired sample observations 209 14.6 McNemer’s (1955) matched pair test for two proportions 210 14.7 Cochran’s (1950) Q-test for the difference of three or more matched proportions 211 14.8 Kruskal-Wallis one-way ANOVA test by ranks 212 Exercises 213 15 Further topics 215 15.1 Introduction 215 15.2 Bonferroni inequality and the Joint Confidence Region 215 15.3 Least significant difference (LSD) for a pair of treatment effects 217 15.4 Tukey’s studentized range test 217 15.5 Scheffe’s simultaneous confidence intervals 218 15.6 Bootstrap confidence intervals 219 15.7 Transformations for the ANOVA 220 Exercises 221 Solutions to exercises 222 Appendix tables 249 References 261 Index 264

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Book SynopsisA hands-on guide to using statistics in health research, from planning, through analysis, and on to reporting A Practical Approach to Using Statistics in Health Research offers an easy to use, step-by-step guide for using statistics in health research. The authors use their experience of statistics and health research to explain how statistics fit in to all stages of the research process. They explain how to determine necessary sample sizes, interpret whether there are statistically significant difference in outcomes between groups, and use measured effect sizes to decide whether any changes are large enough to be relevant to professional practice. The text walks you through how to identify the main outcome measure for your study and the factor which you think may influence that outcome and then determine what type of data will be used to record both of these. It then describes how this information is used to select the most appropriate methods to report and analyze your data. A steTable of ContentsAbout the Companion Website xv 1 Introduction 1 1.1 At Whom is This Book Aimed? 1 1.2 At What Scale of Project is This Book Aimed? 2 1.3 Why Might This Book be Useful for You? 2 1.4 How to Use This Book 3 1.5 Computer Based Statistics Packages 4 1.6 Relevant Videos etc. 5 2 Data Types 7 2.1 What Types of Data are There and Why Does it Matter? 7 2.2 Continuous Measured Data 7 2.2.1 Continuous Measured Data – Normal and Non‐Normal Distribution 8 2.2.2 Transforming Non‐Normal Data 13 2.3 Ordinal Data 13 2.4 Categorical Data 14 2.5 Ambiguous Cases 14 2.5.1 A Continuously Varying Measure that has been Divided into a Small Number of Ranges 14 2.5.2 Composite Scores with a Wide Range of Possible Values 15 2.6 Relevant Videos etc. 15 3 Presenting and Summarizing Data 17 3.1 Continuous Measured Data 17 3.1.1 Normally Distributed Data – Using the Mean and Standard Deviation 18 3.1.2 Data With Outliers, e.g. Skewed Data – Using Quartiles and the Median 18 3.1.3 Polymodal Data – Using the Modes 20 3.2 Ordinal Data 21 3.2.1 Ordinal Scales With a Narrow Range of Possible Values 22 3.2.2 Ordinal Scales With a Wide Range of Possible Values 22 3.2.3 Dividing an Ordinal Scale Into a Small Number of Ranges (e.g. Satisfactory/Unsatisfactory or Poor/Acceptable/Good) 22 3.2.4 Summary for Ordinal Data 23 3.3 Categorical Data 23 3.4 Relevant Videos etc. 24 Appendix 1: An Example of the Insensitivity of the Median When Used to Describe Data from an Ordinal Scale With a Narrow Range of Possible Values 25 4 Choosing a Statistical Test 27 4.1 Identify the Factor and Outcome 27 4.2 Identify the Type of Data Used to Record the Relevant Factor 29 4.3 Statistical Methods Where the Factor is Categorical 30 4.3.1 Identify the Type of Data Used to Record the Outcome 30 4.3.2 Is Continuous Measured Outcome Data Normally Distributed or Can It Be Transformed to Normality? 30 4.3.3 Identify Whether Your Sets of Outcome Data Are Related or Independent 31 4.3.4 For the Factor, How Many Levels Are Being Studied? 32 4.3.5 Determine the Appropriate Statistical Method for Studies with a Categorical Factor 32 4.4 Correlation and Regression with a Measured Factor 34 4.4.1 What Type of Data Was Used to Record Your Factor and Outcome? 34 4.4.2 When Both the Factor and the Outcome Consist of Continuous Measured Values, Select Between Pearson and Spearman Correlation 34 4.5 Relevant Additional Material 38 5 Multiple Testing 39 5.1 What Is Multiple Testing and Why Does It Matter? 39 5.2 What Can We Do to Avoid an Excessive Risk of False Positives? 40 5.2.1 Use of Omnibus Tests 40 5.2.2 Distinguishing Between Primary and Secondary/ Exploratory Analyses 40 5.2.3 Bonferroni Correction 41 6 Common Issues and Pitfalls 43 6.1 Determining Equality of Standard Deviations 43 6.2 How Do I Know, in Advance, How Large My SD Will Be? 43 6.3 One‐Sided Versus Two‐Sided Testing 44 6.4 Pitfalls That Make Data Look More Meaningful Than It Really Is 45 6.4.1 Too Many Decimal Places 45 6.4.2 Percentages with Small Sample Sizes 47 6.5 Discussion of Statistically Significant Results 47 6.6 Discussion of Non‐Significant Results 50 6.7 Describing Effect Sizes with Non‐Parametric Tests 51 6.8 Confusing Association with a Cause and Effect Relationship 52 7 Contingency Chi‐Square Test 55 7.1 When Is the Test Appropriate? 55 7.2 An Example 55 7.3 Presenting the Data 57 7.3.1 Contingency Tables 57 7.3.2 Clustered or Stacked Bar Charts 57 7.4 Data Requirements 59 7.5 An Outline of the Test 59 7.6 Planning Sample Sizes 59 7.7 Carrying Out the Test 60 7.8 Special Issues 61 7.8.1 Yates Correction 61 7.8.2 Low Expected Frequencies – Fisher’s Exact Test 61 7.9 Describing the Effect Size 61 7.9.1 Absolute Risk Difference (ARD) 62 7.9.2 Number Needed to Treat (NNT) 63 7.9.3 Risk Ratio (RR) 63 7.9.4 Odds Ratio (OR) 64 7.9.5 Case: Control Studies 65 7.10 How to Report the Analysis 65 7.10.1 Methods 65 7.10.2 Results 66 7.10.3 Discussion 67 7.11 Confounding and Logistic Regression 67 7.11.1 Reporting the Detection of Confounding 68 7.12 Larger Tables 69 7.12.1 Collapsing Tables 69 7 12.2 Reducing Tables 70 7.13 Relevant Videos etc. 71 8 Independent Samples (Two‐Sample) T‐Test 73 8.1 When Is the Test Applied? 73 8.2 An Example 73 8.3 Presenting the Data 75 8.3.1 Numerically 75 8.3.2 Graphically 75 8.4 Data Requirements 75 8.4.1 Variables Required 75 8.4.2 Normal Distribution of the Outcome Variable Within the Two Samples 75 8.4.3 Equal Standard Deviations 78 8.4.4 Equal Sample Sizes 78 8.5 An Outline of the Test 78 8.6 Planning Sample Sizes 79 8.7 Carrying Out the Test 79 8.8 Describing the Effect Size 79 8.9 How to Describe the Test, the Statistical and Practical Significance of Your Findings in Your Report 80 8.9.1 Methods Section 80 8.9.2 Results Section 80 8.9.3 Discussion Section 81 8.10 Relevant Videos etc. 81 9 Mann–Whitney Test 83 9.1 When Is the Test Applied? 83 9.2 An Example 83 9.3 Presenting the Data 85 9.3.1 Numerically 85 9.3.2 Graphically 85 9.3.3 Divide the Outcomes into Low and High Ranges 85 9.4 Data Requirements 86 9.4.1 Variables Required 86 9.4.2 Normal Distributions and Equality of Standard Deviations 87 9.4.3 Equal Sample Sizes 87 9.5 An Outline of the Test 87 9.6 Statistical Significance 87 9.7 Planning Sample Sizes 87 9.8 Carrying Out the Test 88 9.9 Describing the Effect Size 88 9.10 How to Report the Test 89 9.10.1 Methods Section 89 9.10.2 Results Section 89 9.10.3 Discussion Section 90 9.11 Relevant Videos etc. 91 10 One‐Way Analysis of Variance (ANOVA) – Including Dunnett’s and Tukey’s Follow Up Tests 93 10.1 When Is the Test Applied? 93 10.2 An Example 93 10.3 Presenting the Data 94 10.3.1 Numerically 94 10.3.2 Graphically 94 10.4 Data Requirements 94 10.4.1 Variables Required 94 10.4.2 Normality of Distribution for the Outcome Variable Within the Three Samples 95 10.4.3 Standard Deviations 96 10.4.4 Sample Sizes 98 10.5 An Outline of the Test 98 10.6 Follow Up Tests 98 10.7 Planning Sample Sizes 99 10.8 Carrying Out the Test 100 10.9 Describing the Effect Size 101 10.10 How to Report the Test 101 10.10.1 Methods 101 10.10.2 Results Section 102 10.10.3 Discussion Section 102 10.11 Relevant Videos etc. 103 11 Kruskal–Wallis 105 11.1 When Is the Test Applied? 105 11.2 An Example 105 11.3 Presenting the Data 106 11.3.1 Numerically 106 11.3.2 Graphically 107 11.4 Data Requirements 109 11.4.1 Variables Required 109 11.4.2 Normal Distributions and Standard Deviations 109 11.4.3 Equal Sample Sizes 110 11.5 An Outline of the Test 110 11.6 Planning Sample Sizes 110 11.7 Carrying Out the Test 110 11.8 Describing the Effect Size 111 11.9 Determining Which Group Differs from Which Other 111 11.10 How to Report the Test 111 11.10.1 Methods Section 111 11.10.2 Results Section 112 11.10.3 Discussion Section 113 11.11 Relevant Videos etc. 114 12 McNemar’s Test 115 12.1 When Is the Test Applied? 115 12.2 An Example 115 12.3 Presenting the Data 116 12.4 Data Requirements 116 12.5 An Outline of the Test 118 12.6 Planning Sample Sizes 118 12.7 Carrying Out the Test 119 12.8 Describing the Effect Size 119 12.9 How to Report the Test 119 12.9.1 Methods Section 119 12.9.2 Results Section 120 12.9.3 Discussion Section 120 12.10 Relevant Videos etc. 121 13 Paired T‐Test 123 13.1 When Is the Test Applied? 123 13.2 An Example 125 13.3 Presenting the Data 125 13.3.1 Numerically 125 13.3.2 Graphically 125 13.4 Data Requirements 126 13.4.1 Variables Required 126 13.4.2 Normal Distribution of the Outcome Data 126 13.4.3 Equal Standard Deviations 128 13.4.4 Equal Sample Sizes 128 13.5 An Outline of the Test 128 13.6 Planning Sample Sizes 129 13.7 Carrying Out the Test 129 13.8 Describing the Effect Size 129 13.9 How to Report the Test 130 13.9.1 Methods Section 130 13.9.2 Results Section 130 13.9.3 Discussion Section 131 13.10 Relevant Videos etc. 131 14 Wilcoxon Signed Rank Test 133 14.1 When Is the Test Applied? 133 14.2 An Example 134 14.3 Presenting the Data 134 14.3.1 Numerically 134 14.3.2 Graphically 136 14.4 Data Requirements 136 14.4.1 Variables Required 136 14.4.2 Normal Distributions and Equal Standard Deviations 137 14.4.3 Equal Sample Sizes 137 14.5 An Outline of the Test 137 14.6 Planning Sample Sizes 138 14.7 Carrying Out the Test 139 14.8 Describing the Effect Size 139 14.9 How to Report the Test 140 14.9.1 Methods Section 140 14.9.2 Results Section 140 14.9.3 Discussion Section 141 14.10 Relevant Videos etc. 141 15 Repeated Measures Analysis of Variance 143 15.1 When Is the Test Applied? 143 15.2 An Example 144 15.3 Presenting the Data 144 15.3.1 Numerical Presentation of the Data 145 15.3.2 Graphical Presentation of the Data 145 15.4 Data Requirements 146 15.4.1 Variables Required 146 15.4.2 Normal Distribution of the Outcome Data 148 15.4.3 Equal Standard Deviations 148 15.4.4 Equal Sample Sizes 148 15.5 An Outline of the Test 148 15.6 Planning Sample Sizes 149 15.7 Carrying Out the Test 150 15.8 Describing the Effect Size 150 15.9 How to Report the Test 151 15.9.1 Methods Section 151 15.9.2 Results Section 151 15.9.3 Discussion Section 152 15.10 Relevant Videos etc. 153 16 Friedman Test 155 16.1 When Is the Test Applied? 155 16.2 An Example 157 16.3 Presenting the Data 157 16.3.1 Bar Charts of the Outcomes at Various Stages 157 16.3.2 Summarizing the Data via Medians or Means 157 16.3.3 Splitting the Data at Some Critical Point in the Scale 159 16.4 Data Requirements 160 16.4.1 Variables Required 160 16.4.2 Normal Distribution and Standard Deviations in the Outcome Data 160 16.4.3 Equal Sample Sizes 160 16.5 An Outline of the Test 160 16.6 Planning Sample Sizes 161 16.7 Follow Up Tests 161 16.8 Carrying Out the Tests 162 16.9 Describing the Effect Size 162 16.9.1 Median or Mean Values Among the Individual Changes 162 16.9.2 Split the Scale 162 16.10 How to Report the Test 162 16.10.1 Methods Section 162 16.10.2 Results Section 163 16.10.3 Discussion Section 164 16.11 Relevant Videos etc. 164 17 Pearson Correlation 165 17.1 Presenting the Data 165 17.2 Correlation Coefficient and Statistical Significance 166 17.3 Planning Sample Sizes 167 17.4 Effect Size and Practical Relevance 167 17.5 Regression 169 17.6 How to Report the Analysis 170 17.6.1 Methods 170 17.6.2 Results 170 17.6.3 Discussion 171 17.7 Relevant Videos etc. 171 18 Spearman Correlation 173 18.1 Presenting the Data 173 18.2 Testing for Evidence of Inappropriate Distributions 174 18.3 Rho and Statistical Significance 174 18.4 An Outline of the Significance Test 175 18.5 Planning Sample Sizes 175 18.6 Effect Size 176 18.7 Where Both Measures Are Ordinal 176 18.7.1 Educational Level and Willingness to Undertake Internet Research – An Example Where Both Measures Are Ordinal 176 18.7.2 Presenting the Data 177 18.7.3 Rho and Statistical Significance 177 18.7.4 Effect Size 178 18.8 How to Report Spearman Correlation Analyses 178 18.8.1 Methods 178 18.8.2 Results 179 18.8.3 Discussion 180 18.9 Relevant Videos etc. 180 19 Logistic Regression 181 19.1 Use of Logistic Regression with Categorical Outcomes 181 19.2 An Outline of the Significance Test 182 19.3 Planning Sample Sizes 182 19.4 Results of the Analysis 184 19.5 Describing the Effect Size 184 19.6 How to Report the Analysis 185 19.6.1 Methods 185 19.6.2 Results 186 19.6.3 Discussion 186 19.7 Relevant Videos etc. 187 20 Cronbach’s Alpha 189 20.1 Appropriate Situations for the Use of Cronbach’s Alpha 189 20.2 Inappropriate Uses of Alpha 190 20.3 Interpretation 190 20.4 Reverse Scoring 191 20.5 An Example 191 20.6 Performing and Interpreting the Analysis 192 20.7 How to Report Cronbach’s Alpha Analyses 193 20.7.1 Methods Section 193 20.7.2 Results 194 20.7.3 Discussion 194 20.7 Relevant Videos etc. 195 Glossary 197 Videos 209 Index 211

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Book SynopsisTextbook of Zoonoses Comprehensive resource covering the aetiology, epidemiology and transmission cycle, clinical symptoms, diagnosis, and prevention and control strategies of the important zoonoses. Zoonoses are the diseases which can spread from animals to humans. This book covers all important zoonoses that are prevalent in today's world. As a modern learning resource, it incorporates recent scientific developments and concepts to give readers a complete overview of each zoonoses. Written by three well-qualified authors in academia, sample topics covered within the book include: Bacterial, viral, parasitic, rickettsial, fungal, prion, and foodborne zoonosesAetiology and epidemiology of each zoonotic diseaseClinical symptoms and diagnosis in animals and humansTreatment options, plus prevention and control strategiesCDC classification of zoonotic agents and the WHO's list of neglected zoonoses' Written for undergraduate and postgraduate students studying veterinary public health and epidemiology, Textbook of Zoonoses is also a helpful resource for other veterinary and medical professionals interested in public health and epidemiology.Trade Review"Specifically written as a curriculum textbook for undergraduate and postgraduate students studying veterinary public health and epidemiology, "Textbook of Zoonoses" is also a helpful resource for other veterinary and medical professionals interested in public health and epidemiology...a critically important and unreservedly recommended addition to personal, professional, community, veterinary school, college, and university library "- Library Bookwatch, Mar 23, Midwest Book ReviewTable of ContentsForeword Preface Acknowledgements Introduction to Zoonoses Understanding concepts and terms related to Zoonoses SECTION 1: BACTERIAL ZOONOSES 1. Anthrax 2. Brucellosis 3. Cat-scratch disease 4. Glanders 5. Leptospirosis 6. Lyme disease (or Lyme borreliosis) 7. Plague 8. Q fever 9. Tularemia 10. Zoonotic Chlamydiosis 11. Zoonotic Tuberculosis 12. Other zoonoses a. Meliodiosis b. Tetanus c. Dog-bite transmitted bacterial pathogens d. Rat Bite Fever agents Bacterial foodborne pathogens (Bacillus cereus, Campylobacteriosis, Clostridium perfringens, Clostridium botulinum, Diarrhoeagenic Escherichia coli, Listeria monocytogenes, Salmonellosis, Staphylococcus aureus, Vibriosis and Yersiniosis) SECTION 2: VIRAL ZOONOSES Introduction 13. Crimean Congo Haemorrhagic Fever (CCHF) 14. Ebola Haemorrhagic Fever 15. Hantavirus disease 16. Influenza viruses 17. Japanese Encephalitis 18. Nipah 19. Rabies 20. Rift Valley Fever 21. West Nile Fever 22. Yellow Fever 23. Zoonotic Coronaviruses 24. Viral Haemorrhagic fevers (Arenaviruses, Bunyaviruses, Filoviruses and Flaviviruses) 25. Other Zoonotic Viruses of Public Health Importance (Eastern equine encephalomyelitis (EEE), Western equine encephalomyelitis (WEE), Venezuelan equine encephalomyelitis (VEE), Foot and mouth disease (FMD), Hendra virus (HeV), Herpes B Virus (Cercopithecine herpesvirus 1), La Crosse encephalitis virus (LACV), Lymphocytic choriomeningitis virus (LCMV), Monkeypox virus, Powassan virus (POWV), Saint Louis encephalitis virus (SLEV) 26. Foodborne viral zoonoses SECTION 3: PARASITIC ZOONOSES Introduction 27. Amoebiasis 28. Balantidiasis 29. Cryptosporidiosis 30. Cutaneous Larvae Migrans 31. Diphyllobothriasis 32. Echinococcosis 33. Giardiasis 34. Leishmaniasis 35. Sarcocystosis 36. Schistosomiasis 37. Taeniasis/Cystecercosis complex 38. Toxoplasmosis 39. Trichinellosis 40. Trypanosomiasis 41. Visceral Larvae Migrans 42. Other parasitic zoonoses of public health importance a. Angiostrongyliasis b. Anisakiasis c. Clonorchiasis d. Dracunculiasis e. Fasciolopsiasis f. Paragonimiasis g. Pentastomiasis h. Primary Amoebic Meningoencephalitis (PAM) SECTION 4: FUNGAL ZOONOSES Introduction 43. Aspergillosis 44. Blastomycosis 45. Coccidioidomycosis 46. Cryptococcosis 47. Dermatophytosis 48. Histoplasmosis 49. Mucormycoses 50. Sporotrichosis 51. Other important fungal zooonoses SECTION 5: RICKETTSIAL ZOONOSES Introduction A. Typhus group 1. Epidemic typhus 2. Endemic typhus B. Spotted fever group 1. Tick borne spotted fever a. Rocky Mountain spotted fever b. Other important tick-borne spotted fever rickettsioses 2. Flea-borne spotted fever 3. Mite-borne spotted fever C. Scrub typhus Diagnosis of rickettsioses SECTION 6: PRION DISEASES ANNEXURES 1. Important Global Health Days 2. List of important zoonoses related to farm animals and pets 3. CDC classification of bioterrorism agents References Credits and Sources/Acknowledgments Index

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Book SynopsisTable of ContentsPreface xi List of Abbreviations xiii Notation xv 1 Introduction 1 1.1 Random Truncation 1 1.2 One-sided Truncation 2 1.2.1 Left-truncation 2 1.2.2 Right-truncation 2 1.2.3 Truncation vs. Censoring 3 1.3 Double Truncation 3 1.4 Real Data Examples 5 1.4.1 Childhood Cancer Data 5 1.4.2 AIDS Blood Transfusion Data 6 1.4.3 Equipment-S Rounded Failure Time Data 7 1.4.4 Quasar Data 7 1.4.5 Parkinson’s Disease Data 8 1.4.6 Acute Coronary Syndrome Data 9 References 10 2 One-Sample Problems 13 2.1 Nonparametric Estimation of a Distribution Function 13 2.1.1 The NPMLE 14 2.1.2 Numerical Algorithms for Computing the NPMLE 21 2.1.3 Theoretical Properties of the NPMLE 24 2.1.4 Standard Errors and Confidence Limits 36 2.2 Semiparametric and Parametric Approaches 43 2.2.1 Semiparametric Approach 44 2.2.2 Parametric Approach 52 2.3 R Code for the Examples 56 2.3.1 Code for Example 2.1.8 56 2.3.2 Code for Examples 2.1.11 and 2.1.13 56 2.3.3 Code for Example 2.1.14 58 2.3.4 Code for Example 2.1.15 59 2.3.5 Code for Example 2.1.22 60 2.3.6 Code for Example 2.2.6 61 2.3.7 Code for Example 2.2.8 62 References 65 3 Smoothing Methods 69 3.1 Some Background in Kernel Estimation 69 3.2 Estimating the Density Function 71 3.3 Asymptotic Properties 71 3.4 Data-driven Bandwidth Selection 77 3.4.1 Normal Reference Bandwidth Selection 78 3.4.2 Plug-in Bandwidth Selection 79 3.4.3 Least-squares Cross-validation Bandwidth Selection 80 3.4.4 Smoothed Bootstrap Bandwidth Selection 81 3.4.5 Bandwidth Selectors in Practice 82 3.5 Further Issues in Kernel Density Estimation 88 3.6 Estimating the Hazard Function 90 3.7 R Code for the Examples 98 3.7.1 Code for Example 3.2.1 98 3.7.2 Code for Examples 3.3.4 and 3.3.5 99 3.7.3 Code for Examples 3.4.2 and 3.4.3 100 3.7.4 Code for Example 3.5.1 102 3.7.5 Code for Example 3.6.4 104 3.7.6 Code for Example 3.6.5 105 References 106 4 Regression Analysis 109 4.1 Observational Bias in Regression 109 4.2 Proportional Hazards Regression 114 4.3 Accelerated Failure Time Regression 117 4.4 Nonparametric Regression 121 4.5 R Code for the Examples 126 4.5.1 Code for Example 4.1.1 126 4.5.2 Code for Example 4.1.4 126 4.5.3 Code for Example 4.2.4 127 4.5.4 Code for Example 4.3.2 127 4.5.5 Code for Example 4.4.2 128 References 129 5 Further Topics 131 5.1 Two-Sample Problems 132 5.2 Competing Risks 137 5.2.1 Cumulative Incidences 139 5.2.2 Regression Models for Competing Risks 142 5.3 Testing for Quasi-independence 146 5.4 Dependent Truncation 150 5.5 R Code for the Examples 157 5.5.1 Code for Example 5.1.3 157 5.5.2 Code for Example 5.2.4 159 5.5.3 Code for Example 5.2.6 160 5.5.4 Code for Example 5.3.1 161 5.5.5 Code for Example 5.4.3 161 References 162 A Packages and Functions in R 165 A.1 Computing the NPMLE and Standard Errors 166 A.2 Assessing the Existence and Uniqueness of the NPMLE 167 A.3 Semiparametric and Parametric Estimation 168 A.4 Kernel Estimation 168 A.5 Regression Analysis 169 A.6 Competing Risks 169 A.7 Simulating Data 170 A.8 Testing Quasi-independence 170 A.9 Dependent Truncation 170 References 171 Index 173

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Book SynopsisA much-needed guide to the design and analysis of cluster randomized trials, How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research delivers practical guidance on the design and analysis of cluster randomised trials (cRCTs) in healthcare research.Trade Review“Overall, the reviewers are enthusiastic about the book. The authors have covered all important areas of cRCTs, using a practical and pragmatic approach to the topic. The code is helpful for the practical implementation of the examples. The material is simple to understand, which will appeal to applied researchers, not only to biostatisticians. As such, we clearly recommend this book to all researchers interested in cRCTs. For biostatisticians involved in cRCTs and investigators of cRCTs, it is a must-have on the bookshelf.” (Biometrical Journal, 1 May 2015)Table of ContentsPreface xiii Acronyms and abbreviations xv 1 Introduction 1 1.1 Randomised controlled trials 1 1.1.1 A-Allocation at random 1 1.1.2 B-Blindness 2 1.1.3 C-Control 2 1.2 Complex interventions 3 1.3 History of cluster randomised trials 4 1.4 Cohort and field trials 4 1.5 The field/community trial 5 1.5.1 The REACT trial 5 1.5.2 The Informed Choice leaflets trial 6 1.5.3 The Mwanza trial 7 1.5.4 The paramedics practitioner trial 7 1.6 The cohort trial 8 1.6.1 The PoNDER trial 8 1.6.2 The DESMOND trial 9 1.6.3 The Diabetes Care from Diagnosis trial 10 1.6.4 The REPOSE trial 11 1.6.5 Other examples of cohort cluster trials 11 1.7 Field versus cohort designs 11 1.8 Reasons for cluster trials 12 1.9 Between- and within-cluster variation 14 1.10 Random-effects models for continuous outcomes 15 1.10.1 The model 15 1.10.2 The intracluster correlation coefficient 16 1.10.3 Estimating the intracluster correlation (ICC) coefficient 16 1.10.4 Link between the Pearson correlation coefficient and the intraclass correlation coefficient 17 1.11 Random-effects models for binary outcomes 18 1.11.1 The model 18 1.11.2 The ICC for binary data 19 1.11.3 The coefficient of variation 19 1.11.4 Relationship between cvc and 𝜌 for binary data 20 1.12 The design effect 20 1.13 Commonly asked questions 21 1.14 Websources 21 Exercise 22 Appendix 1.A 22 2 Design issues 27 2.1 Introduction 27 2.2 Issues for a simple intervention 28 2.2.1 Phases of a trial 28 2.2.2 ‘Pragmatic’ and ‘explanatory’ trials 29 2.2.3 Intention-to-treat and per-protocol analyses 29 2.2.4 Non-inferiority and equivalence trials 30 2.3 Complex interventions 30 2.3.1 Design of complex interventions 30 2.3.2 Phase I modelling/qualitative designs 32 2.3.3 Pilot or feasibility studies 33 2.3.4 Example of pilot/feasibility studies in cluster trials 33 2.4 Recruitment bias 34 2.5 Matched-pair trials 34 2.5.1 Design of matched-pair studies 34 2.5.2 Limitations of matched-pairs designs 36 2.5.3 Example of matched-pair design: The Family Heart Study 36 2.6 Other types of designs 37 2.6.1 Cluster factorial designs 37 2.6.2 Example cluster factorial trial 38 2.6.3 Cluster crossover trials 38 2.6.4 Example of a cluster crossover trial 39 2.6.5 Stepped wedge 39 2.6.6 Pseudorandomised trials 40 2.7 Other design issues 41 2.8 Strategies for improving precision 41 2.9 Randomisation 42 2.9.1 Reasons for randomisation 42 2.9.2 Simple randomisation 43 2.9.3 Stratified randomisation 43 2.9.4 Restricted randomisation 43 2.9.5 Minimisation 44 Exercise 45 Appendix 2.A 48 3 Sample size: How many subjects/clusters do I need for my cluster randomised controlled trial? 50 3.1 Introduction 51 3.1.1 Justification of the requirement for a sample size 51 3.1.2 Significance tests, P-values and power 51 3.1.3 Sample size and cluster trials 53 3.2 Sample size for continuous data – comparing two means 53 3.2.1 Basic formulae 53 3.2.2 The design effect (DE) in cluster RCTs 54 3.2.3 Example from general practice 55 3.3 Sample size for binary data – comparing two proportions 56 3.3.1 Sample size formula 56 3.3.2 Example calculations 57 3.3.3 Example: The Informed Choice leaflets study 58 3.4 Sample size for ordered categorical (ordinal) data 59 3.4.1 Sample size formula 59 3.4.2 Example calculations 60 3.5 Sample size for rates 62 3.5.1 Formulae 62 3.5.2 Example comparing rates 63 3.6 Sample size for survival 63 3.6.1 Formulae 63 3.6.2 Example of sample size for survival 64 3.7 Equivalence/non-inferiority studies 64 3.7.1 Equivalence/non-inferiority versus superiority 64 3.7.2 Continuous data – comparing the equivalence of two means 65 3.7.3 Example calculations for continuous data 65 3.7.4 Binary data – comparing the equivalence of two proportions 66 3.8 Unknown standard deviation and effect size 66 3.9 Practical problems 67 3.9.1 Tips on getting the SD 67 3.9.2 Non-response 67 3.9.3 Unequal groups 67 3.10 Number of clusters fixed 68 3.10.1 Number of clusters and number of subjects per cluster 68 3.10.2 Example with number of clusters fixed 69 3.10.3 Increasing the number of clusters or number of patients per cluster? 69 3.11 Values of the ICC 69 3.12 Allowing for imprecision in the ICC 70 3.13 Allowing for varying cluster sizes 70 3.13.1 Formulae 70 3.13.2 Example of effect of variable cluster size 71 3.14 Sample size re-estimation 71 3.14.1 Adjusting for covariates 72 3.15 Matched-pair studies 72 3.15.1 Sample sizes for matched designs 72 3.15.2 Example of a sample size calculation for a matched study 72 3.16 Multiple outcomes/endpoints 73 3.17 Three or more groups 74 3.18 Crossover trials 74 3.18.1 Formulae 75 3.18.2 Example of a sample size formula in a crossover trial 75 3.19 Post hoc sample size calculations 75 3.20 Conclusion: Usefulness of sample size calculations 76 3.21 Commonly asked questions 76 Exercise 77 Appendix 3.A 78 4 Simple analysis of cRCT outcomes using aggregate cluster-level summaries 83 4.1 Introduction 83 4.1.1 Methods of analysing cluster randomised trials 83 4.1.2 Choosing the statistical method 84 4.2 Aggregate cluster-level analysis – carried out at the cluster level, using aggregate summary data 84 4.3 Statistical methods for continuous outcomes 86 4.3.1 Two independent-samples t-test 86 4.3.2 Example 88 4.4 Mann–Whitney U test 91 4.5 Statistical methods for binary outcomes 94 4.6 Analysis of a matched design 95 4.7 Discussion 98 4.8 Commonly asked question 98 Exercise 99 Appendix 4.A 99 5 Regression methods of analysis for continuous outcomes using individual person-level data 102 5.1 Introduction 102 5.2 Incorrect models 104 5.2.1 The simple (independence) model 104 5.2.2 Fixed effects 104 5.3 Linear regression with robust standard errors 105 5.3.1 Robust standard errors 105 5.3.2 Example of use of robust standard errors 107 5.3.3 Cluster-specific versus population-averaged models 107 5.4 Random-effects general linear models in a cohort study 108 5.4.1 General models 108 5.4.2 Fitting a random-effects model 109 5.4.3 Example of a random-effects model from the PoNDER study 110 5.4.4 Checking the assumptions 110 5.5 Marginal general linear model with coefficients estimated by generalised estimating equations (GEE) 112 5.5.1 Generalised estimating equations 112 5.5.2 Example of a marginal model from the PoNDER study 113 5.6 Summary of methods 114 5.7 Adjusting for individual-level covariates in cohort studies 115 5.8 Adjusting for cluster-level covariates in cohort studies 118 5.9 Models for cross-sectional designs 119 5.10 Discussion of model fitting 120 Exercise 122 Appendix 5.A 123 6 Regression methods of analysis for binary, count and time-to-event outcomes for a cluster randomised controlled trial 126 6.1 Introduction 126 6.2 Difference between a cluster-specific model and a population-averaged or marginal model for binary data 127 6.3 Analysis of binary data using logistic regression 129 6.4 Review of past simulations to determine efficiency of different methods for binary data 130 6.5 Analysis using summary measures 131 6.6 Analysis using logistic regression (ignoring clustering) 132 6.7 Random-effects logistic regression 134 6.8 Marginal models using generalised estimating equations 135 6.9 Analysis of count data 135 6.10 Survival analysis with cluster trials 137 6.11 Missing data 139 6.12 Discussion 139 Exercise 139 Appendix 6.A 140 7 The protocol 143 7.1 Introduction 143 7.2 Abstract 144 7.3 Protocol background 147 7.4 Research objectives 147 7.5 Outcome measures 147 7.6 Design 147 7.7 Intervention details 148 7.8 Eligibility 148 7.9 Randomisation 149 7.10 Assessment and data collection 149 7.11 Statistical considerations 150 7.11.1 Sample size 150 7.11.2 Statistical analysis 151 7.11.3 Interim analyses 152 7.12 Ethics 153 7.12.1 Declaration of Helsinki 153 7.12.2 Informed consent 154 7.13 Organisation 155 7.13.1 The team 155 7.13.2 Trial forms 155 7.13.3 Data management 155 7.13.4 Protocol amendments 156 7.14 Further reading 156 Exercise 156 8 Reporting of cRCTs 159 8.1 Introduction: Extended CONSORT guidelines for reporting and presenting the results from cRCTs 159 8.2 Patient flow diagram 160 8.3 Comparison of entry characteristics 160 8.4 Incomplete data 167 8.5 Reporting the main outcome 171 8.6 Subgroup analysis and analysis of secondary outcomes/endpoints 174 8.7 Estimates of between-cluster variability 175 8.7.1 Example of reporting the ICC: The PoNDER cRCT 175 8.8 Further reading 175 Exercise 176 9 Practical issues 178 9.1 Preventing bias in cluster randomised controlled trials 178 9.1.1 Problems with identifying and recruiting patients to cluster trials 178 9.1.2 Preventing biased recruitment 179 9.2 Developing complex interventions 181 9.3 Choice of method of analysis 182 9.4 Missing data 185 9.5 Example sensitivity analysis: Imputation of missing 6-month EPDS data for at-risk women from the PoNDER cRCT 188 9.6 Multiplicity of outcomes 192 9.6.1 Limiting the number of confirmatory tests 192 9.6.2 Summary measures and statistics 193 9.6.3 Global tests and multiple comparison procedures 193 9.6.4 Which multiple comparison procedure to use? 194 10 Computing software 195 10.1 R 195 10.1.1 History 195 10.1.2 Installing R 196 10.1.3 Simple use of R 197 10.1.4 An example of an R program 198 10.2 Stata (version 12) 199 10.2.1 Introduction to Stata 199 10.2.2 Aggregate cluster-level analysis – carried out at the cluster level, using aggregate summary data 201 10.2.3 Random-effects models – continuous outcomes 202 10.2.4 Random-effects models – binary outcomes 205 10.2.5 Random-effects models – count outcomes 206 10.2.6 Marginal models – continuous outcomes 208 10.2.7 Marginal models – binary outcomes 209 10.2.8 Marginal models – count outcomes 210 10.3 SPSS (version 19) 212 10.3.1 Introduction to SPSS 212 10.3.2 Comparing cluster means using aggregate cluster-level analysis – carried out at the cluster level, using aggregate summary data 213 10.3.3 Marginal models 215 10.3.4 Random-effects models 227 10.4 Conclusion and further reading 232 References 234 Index 243

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Book SynopsisEnsure your clinical trial supply chain is running smoothly with this practical guide Clinical trials are a critical part of the pharmaceutical development process. These trials cannot proceed without timely and regular receipt of the drugs being tested, which can prove a challenge for drug manufacturers who have not yet established the structures required to produce quality-controlled specimens of the drug at scale. Managing supply chains of pre-production drugs for clinical trials is therefore an essential component of drug development. Supply Chain Planning for Clinical Trials offers a practical introduction to this process for researchers and industry professionals. Beginning with the basics of clinical trial supply chain management, it proceeds step by step through all aspects of demand and supply planning for clinical trials. The result is a thorough overview that also offers practical examples of how to plan supply for clinical trials. Supply Chain P

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Book SynopsisA new addition to the popular 'How To' series Shows how to present data in journal articles, grant applications or research presentations correctly and comprehensively Contains numerous examples of good and bad data display Contains examples from many areas of research - including those outside of medicine.Trade Review"This book offers most excitement and is abound with promise." (Urology News, May/June 2009) "The book casts a fresh light on many issues related to effective data presentation. The questions raised and ideas offered are thought-provoking, innovative and easily implemental ... .It is a small but powerful book which I firmly believe everyone would enjoy while reading in addition to learning." (Academici, April 2009) "This book not only provides an enjoyable read, but also it reminds readers how and how not to display data. I strongly recommend this book for both medical researchers and inter-disciplinary readers, including empirical musicology." (Academici, February 2009) “This text would be an excellent primer for those who have the computer background for producing graphics but who lack training in the presentation of material.” (The American Statistician, February 2009) “Effective data presentation is an essential skill … .This should be very helpful to the target audience. Good data presentation should contribute to publication and presentation.” (Doody's Book Reviews) Table of ContentsPreface. 1 Introduction to data display. 2 How to display data badly. 3 Displaying univariate categorical data. 4 Displaying quantitative data. 5 Displaying the relationship between two continuous variables. 6 Data in tables. 7 Reporting study results. 8 Time series plots and survival curves. 9 Displaying results in presentations. Index.

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Book SynopsisNumbers and statistical claims dominate today''s news. Politics, budgets, crime analysis, medical issues, and sports reporting all demand numbers. Now in its third edition, News & Numbers focuses on how to evaluate statistical claims in science, health, medicine, and politics. It does so by helping readers answer three key questions about all scientific studies, polls, and other statistical claims: What can I believe? What does it mean? and How can I explain it to others? Updated throughout, this long overdue third edition brings this classic text up-to-date with the 21st century with a complete updating of examples, case studies, and stories. The text emphasises clear thinking and common sense approaches for understanding, analyzing and explaining statistics, and terms throughout the book are explained in easy-to-understand, nontechnical language. Much new material has been added to ensure the text maintains its pertinent approach to the subject, including: A sTable of ContentsA Note to Our Readers vii A Tribute to Victor Cohn, 1919–2000 ix Foreword xi Acknowledgments xiii Notes on Sources xv Part I Learning the Basics 1 A Guide to Part I of News & Numbers 2 1 Where We Can Do Better 3 2 The Certainty of Uncertainty 8 3 Testing the Evidence 15 4 What Makes a Good Study? 37 5 Your Questions and Peer Review 54 Part II Now Down to Specifics 69 A Guide to Part II of News & Numbers 70 6 Tests and Drug Trials 71 7 Vital Statistics 83 8 Health Costs, Quality, and Insurance 97 9 Our Environment 108 10 Writing About Risks 124 11 Polls 133 12 Statistical Savvy for Many Types of News 145 Epilogue 161 Glossary 163 Bibliography 170 Index 173

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Book SynopsisThe perfect companion for interpreting and critically appraising the results of quantitative studies * User-friendly and well illustrated pocket book * Guides the reader through statistical concepts using real life examples to reflect concepts * Uses flow charts to target the sections that matter.Trade Review“This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research. Statistics Toolkit guides the reader through statistical concepts using flowcharts, diagrams and real life examples to reflect concepts in a simple and practical manner. The book offers a handy, quick reference that has an easy-to-follow structure throughout, making it ideal for health care professionals and students.” Doodys ReviewsTable of ContentsIntroduction. Data: describing and displaying. Probability and confi dence intervals. Hypothesis testing. Choosing which measure and test to use. Randomised controlled trials. Systematic reviews 1. Case-control studies. Questionnaire studies 1. Questionnaire studies 2. Cohort studies. Systematic reviews 2. Diagnostic tests. Scale validation. Statistical toolkit: glossary. Software for data management and statistical analysis. References. Index. Commonly used symbols.

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Book SynopsisThis riveting story of the typhus and cholera epidemics that swept through New York City in 1892 has been updated with a new preface that tackles the COVID-19 pandemic. Winner, 2003 Arthur J. Viseltear Prize for Outstanding Book in the History of Public Health, American Public Health AssociationIn Quarantine! Howard Markel traces the course of the typhus and cholera epidemics that swept through New York City in 1892. The story is told from the point of view of those involvedthe public health doctors who diagnosed and treated the victims, the newspaper reporters who covered the stories, the government officials who established and enforced policy, and, most importantly, the immigrants themselves. Drawing on rarely cited stories from the Yiddish American press, immigrant diaries and letters, and official accounts, Markel follows the immigrants on their journey from a squalid and precarious existence in Russia's Pale of Settlement, to their passage in steerage, to New York's Lower East Table of ContentsFigures and Tables Preface to the First EditionPreface to the Updated Edition: Revisiting Quarantine!Introduction: The Concept of QuarantinePart I. Averting a PestilenceThe Typhus Fever Epidemic on New York's Lower East SideChapter 1. The Russian Jews of the SS MassiliaChapter 2. The City Responds to the Threat of TyphusChapter 3. The Results of the Quarantine Part II. "Cholera May Knock, but It Won't Get In!"Cholera, Class, and Quarantine in New York HarborChapter 4. Awaiting the Cholera: "Choleria!"Chapter 5. "Knocking Out the Cholera!"Part III. Legislating QuarantineAttempting to Restrict Immigration as a Cholera PreventiveChapter 6. Maintaining the QuarantineChapter 7. The Doctors' Prescription for QuarantineChapter 8. The Congress RespondsEpilogue: "The Microbe as Social Leveller"NotesIndex

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Book SynopsisThe pandemic presented religion as a paradox: faith is often crucial for helping people weather life’s troubles and make difficult decisions, but how can religion continue to deliver these benefits and provide societal structure without social contact? The topical volume, An Epidemic among My People explains how the COVID-19 pandemic stress tested American religious communities and created a new politics of religion centered on public health.The editors and contributorsconsider how the virus and government policy affected religion in America. Chapters examine the link between the prosperity gospel and conspiracy theories, the increased purchase of firearms by evangelicals, the politics of challenging public health orders as religious freedom claims, and the reactions of Christian nationalists, racial groups, and female clergy to the pandemic (and pandemic politics). As sharp lines were drawn between people and their governments during this uncertain time, Trade Review“What power does religion hold in times of crisis? Drawing on a wealth of research conducted over the first two years of the coronavirus pandemic, the thoughtful editors and contributors to An Epidemic among My People uncover how faith communities and religious identities shaped responses to the pandemic. At the same time, the broad range of research contained here underscores how a crisis impacts religious beliefs and practices. This unique collection of essays from across the social sciences showcases findings and insights essential to understanding how religious forces matter in our collective experience of major national and worldwide events.”—Janelle Wong, Professor of American Studies and Government and Politics at the University of Maryland, and author of Immigrants, Evangelicals, and Politics in an Era of Demographic Change“COVID-19 had colossal impacts on public health and mortality, with immense social, political, economic, and psychological consequences. Our understanding of its more precise consequences in particular spheres of society remains thin. An Epidemic among My People offers a reliable, in-depth account of the impacts of COVID-19 on one major area of social life—religion. An impressive array of scholars use very strong empirical data to insightfully sort out the many ways religion and the pandemic interacted, and with what consequences. It is essential reading not only on religion, but for anyone wishing to understand the impact of COVID-19 in society generally.”—Christian Smith, Wm. R. Kenan Jr. Professor of Sociology at the University of Notre Dame "The book covers a lot of territory, with unexpected findings throughout....Through its remarkable collection of new research and data analysis, this book provides a broad foundation for scholars to build on to better understand the complex, multifaceted relationship between the Covid-19 pandemic and American religion and politics.”— Politics and Religion

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Book SynopsisThis very popular textbook, now in its third edition, offers an accessible description of fundamental and more advanced concepts and methods of logistic regression. This edition includes three new chapters and an expanded section about modeling guidelines.Trade ReviewFrom the book reviews:“The authors present fundamental and basic ideas and methods of analysis of survival/event-history data from both applications and methodological points of view. … This book is clearly written and well structured for a graduate course as well as for practitioners and consulting statisticians. … There are many good examples in this edition, and more importantly, this new edition offers additional exercises, making it a good candidate for adoption as a textbook.” (Technometrics, August, 2012)"This text is … an elementary introduction to survival analysis. It is primarily intended for self-study, but it has also proven useful as a basic text in a standard classroom course … . Each chapter starts with an Introduction, an Abbreviated outline, and Objectives, and ends with self tests, exercises and a detailed outline. Solutions to tests and exercises are also provided." (Göran Broström, Zentralblatt MATH, Vol. 1093 (19), 2006)"The most meaningful accolade that I can give to this text is that it admirably lives up to its title." Journal of the American Statistical Association, September 2006"Imagine---a statistics textbook that actually explains things in English instead of explaining a topic by bombarding the reader with page-width equations requiring an advanced degree in Math just to read the book. If it weren't for this book, I would be really stuck." (David Britz)Table of ContentsIntroduction to Survival Analysis.- Kaplan-Meier Survival Curves and the Log-Rank Test.- The Cox Proportional Hazards Model and Its Characteristics.- Evaluating the Proportional Hazards Assumption.- The Stratified Cox Procedure.- Extension of the Cox Proportional Hazards Model for Time-Dependent Variables.- Parametric Survival Models.- Recurrent Events Survival Analysis.- Competing Risks Survival Analysis.

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Book SynopsisEpidemiology Kept Simple introduces the epidemiological principles and methods that are increasingly important in the practice of medicine and public health. With minimum use of technical language it fully explains terminology, concepts, and techniques associated with traditional and modern epidemiology. Topics include disease causality, epidemiologic measures, descriptive epidemiology, study design, clinical and primary prevention trials, observational cohort studies, case-control studies, and the consideration of random and systematic error in studies of causal factors. Chapters on the infectious disease process, outbreak investigation, and screening for disease are also included. The latter chapters introduce more advanced biostatistical and epidemiologic techniques, such as survival analysis, Mantel-Haenszel techniques, and tests for interaction. This third edition addresses all the requirements of the American Schools of Public Health (ASPH) Epidemiological CompetTrade Review"This edition does a good job of updating the previous editions, which have not covered the ASPH epidemiology competencies." (Doody’s, 21 February 2014)Table of ContentsPreface to the Third Edition xi Preface to the First Edition xiii Acknowledgments xv 1 Epidemiology Past and Present 1 1.1 Epidemiology and its uses 2 1.2 Evolving patterns of morbidity and mortality 5 1.3 Selected historical figures and events 8 1.4 Chapter summary 30 Review questions 31 References 32 2 Causal Concepts 36 2.1 Natural history of disease 36 2.2 Variability in the expression of disease 40 2.3 Causal models 41 2.4 Causal inference 48 Exercises 58 Review questions 61 References 63 3 Epidemiologic Measures 66 3.1 Measures of disease frequency 67 3.2 Measures of association 74 3.3 Measures of potential impact 79 3.4 Rate adjustment 82 Exercises 90 Review questions 98 References 99 Addendum: additional mathematical details 101 4 Descriptive Epidemiology 104 4.1 Introduction 104 4.2 Epidemiologic variables 108 4.3 Ecological correlations 116 Exercises 121 Review questions 123 References 124 5 Introduction to Epidemiologic Study Design 126 5.1 Etiologic research 126 5.2 Ethical conduct of studies involving human subjects 129 5.3 Selected study design elements 130 5.4 Common types of epidemiologic studies 137 Exercises 138 Review questions 140 References 141 6 Experimental Studies 142 6.1 Introduction 142 6.2 Historical perspective 144 6.3 General concepts 146 6.4 Data analysis 152 Exercises 156 Review questions 157 References 157 7 Observational Cohort Studies 159 7.1 Introduction 159 7.2 Historical perspective 161 7.3 Assembling and following a cohort 163 7.4 Prospective, retrospective, and ambidirectional cohorts 164 7.5 Addressing the potential for confounding 165 7.6 Data analysis 166 7.7 Historically important study: Wade Hampton Frost’s birth cohorts 170 Exercises 174 Review questions 177 References 177 8 Case–Control Studies 180 8.1 Introduction 180 8.2 Identifying cases and controls 182 8.3 Obtaining information on exposure 185 8.4 Data analysis 186 8.5 Statistical justifications of case–control odds ratio as relative risks 193 Exercises 194 Review questions 198 References 199 9 Error in Epidemiologic Research 201 9.1 Introduction 201 9.2 Random error (imprecision) 203 9.3 Systematic error (bias) 209 Exercises 217 Review questions 219 References 220 10 Screening for Disease 222 10.1 Introduction 223 10.2 Reliability (agreement) 224 10.3 Validity 228 Summary 238 Exercises 239 Review questions 243 References 243 10.4 Chapter addendum (case study) 244 Further reading—screening for HIV 248 Further reading—general concepts of screening 248 Answers to case study: screening for antibodies to the human immunodeficiency virus 249 11 The Infectious Disease Process 255 11.1 The infectious disease process 255 11.2 Herd immunity 265 Exercises 267 Review questions 268 References 270 12 Outbreak Investigation 271 12.1 Background 272 12.2 CDC prescribed investigatory steps 273 Review questions 282 References 283 References—a drug–disease outbreak 286 13 Confidence Intervals and p-Values 302 13.1 Introduction 303 13.2 Confidence intervals 304 13.3 p-Values 312 13.4 Minimum Bayes factors 319 References 322 14 Mantel–Haenszel Methods 323 14.1 Ways to prevent confounding 323 14.2 Simpson’s paradox 325 14.3 Mantel–Haenszel methods for risk ratios 325 14.4 Mantel–Haenszel methods for other measures of association 329 Exercise 335 References 335 15 Statistical Interaction: Effect Measure Modification 337 15.1 Two types of interaction 337 15.2 Chi-square test for statistical 340 15.3 Strategy for stratified analysis 342 Exercises 344 References 345 16 Case Definitions and Disease Classification 347 16.1 Case definitions 347 16.2 International classification of disease 351 16.3 Artifactual fluctuations in reported rates 353 16.4 Summary 354 References 355 17 Survival Analysis 356 17.1 Introduction 356 17.2 Stratifying rates by follow-up time 359 17.3 Actuarial method of survival analysis 360 17.4 Kaplan–Meier method of survival analysis 362 17.5 Comparing the survival experience of two groups 364 Exercises 369 References 371 18 Current Life Tables 373 18.1 Introduction 373 18.2 Complete life table 374 18.3 Abridged life table 380 Exercises 383 References 384 19 Random Distribution of Cases in Time and Space 385 19.1 Introduction 385 19.2 The Poisson distribution 386 19.3 Goodness of fit of the Poisson distribution 390 19.4 Summary 394 Exercises 395 References 396 Answers to Exercises and Review Questions 398 Appendix 1: 95% Confidence Limits for Poisson Counts 434 Appendix 2: Tail Areas in the Standard Normal (Z) Distribution: Double These Areas for Two-Sided p-Values 436 Appendix 3: Right-Tail Areas in Chi-Square Distributions 439 Appendix 4: Case Study—Cigarette Smoking and Lung Cancer 441 Appendix 5: Case Study—Tampons and Toxic Shock Syndrome 448 Index 455

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Book SynopsisA lively and comprehensive review of policy change, Multidisciplinary public health: Understanding the development of the modern workforce concludes with a reflection on the new public health system under way in England, making useful comparisons with the rest of the UK.Trade Review"Recent developments in public health are poorly understood by the public. Multidisciplinary public health provides a readable history, based on the authors' own involvement, of one key change in modern public health - the incorporation of non-medical people into the mainstream public health workforce." Virginia Berridge, London School of Hygiene and Tropical Medicine "Public health in England has moved into uncharted territory. This timely and important history of the changing workforce is an indispensable guide to the challenges and unfinished business ahead" David J Hunter, Durham University "A key text, entertainingly and expertly written, for anyone who wants to be better informed about public health and the contemporary development of the workforce that delivers it. This book provides a welcome addition to the literature on public health in England" Lord Hunt of King's HeathTable of ContentsIntroduction and methods; Developing the specialty of public health; The multidisciplinary public health movement of the 1990s; Changes for specialists I: Setting up a multidisciplinary public health senior appointments process; Changes for specialists II: The new regulatory system for specialists; Changes for specialists III: The establishment of multidisciplinary higher specialist training in public health; The focus on practitioners and the wider workforce; Where we are now? The new public health system in England from April 2013; Experience across the other UK countries; Conclusion.

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Book SynopsisThrough the framework of understanding health inequalities as a 'wicked problem' the book develops an applied approach to researching, understanding and addressing these by drawing on complexity theory.Trade Review"An absolute 'must read' for health-care practitioners and social scientists, this book makes a compelling case for 'the way forward' for policy makers." Brian Castellani, Kent State University"An excellent overview of research on health inequality and measures to reduce them. The examples, while drawn mainly from the UK, have international relevance for the debate about 'what works' in tackling these inequalities." Sarah Curtis, FBA, Professor of Health and Risk, Durham University“This is a very important book and a must-read for anyone interested in doing applied social science in today’s political climate where evidence and complexity matter.” Emma Uprichard, Warwick UniversityTable of ContentsIntroduction: Part one: Context and theory: developing an applied approach to studying health inequalities; Health inequalities, wicked problems and complexity; Health inequalities: adopting a whole systems approach; Measuring health inequalities; Part two: health inequalities in England; A history of health inequalities in England; Health inequalities post 2010; Part Three: Case studies; Evidence for public health practice: Health Inequalities National Support Team (Professor Chris Bentley and Peter Counsell); Qualitative Comparative Analysis case study; Part 4: Conclusion; Conclusion.

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Book SynopsisThrough the framework of understanding health inequalities as a 'wicked problem' the book develops an applied approach to researching, understanding and addressing these by drawing on complexity theory.Trade Review"An absolute 'must read' for health-care practitioners and social scientists, this book makes a compelling case for 'the way forward' for policy makers." Brian Castellani, Kent State University"An excellent overview of research on health inequality and measures to reduce them. The examples, while drawn mainly from the UK, have international relevance for the debate about 'what works' in tackling these inequalities." Sarah Curtis, FBA, Professor of Health and Risk, Durham University“This is a very important book and a must-read for anyone interested in doing applied social science in today’s political climate where evidence and complexity matter.” Emma Uprichard, Warwick UniversityTable of ContentsIntroduction: Part one: Context and theory: developing an applied approach to studying health inequalities; Health inequalities, wicked problems and complexity; Health inequalities: adopting a whole systems approach; Measuring health inequalities; Part two: health inequalities in England; A history of health inequalities in England; Health inequalities post 2010; Part Three: Case studies; Evidence for public health practice: Health Inequalities National Support Team (Professor Chris Bentley and Peter Counsell); Qualitative Comparative Analysis case study; Part 4: Conclusion; Conclusion.

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Book SynopsisThe COVID-19 pandemic has dramatically exposed weaknesses in UK housing, with housing inequality contributing to the unequal impact of the disease. Becky Tunstall assesses the position of housing in public policy and health, and the most immediate responses to the pandemic in one convenient resource for students, scholars and practitioners.Table of Contents1. COVID-19, housing and home 2. UK households and homes before the pandemic 3. The pandemic and pandemic policy in the UK 4. People, households and time at home in the pandemic 5. The role of household and home in COVID-19 infection and death 6. Being vulnerable or ill at home in the pandemic 7. The impact of COVID-19 and COVID-19 policy on incomes, housing costs and housing security 8. The impact of COVID-19 and COVID-19 policy on the housing market 9. Summary and conclusions

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Book SynopsisExamining the development of death registration systems in the United States - from the first mortality census in 1850 to the development of the death certificate at the turn of the century - this book argues that mortality data transformed life on Earth, proving critical to the systemization of public health, casualty reporting, and human rights.

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Book SynopsisStatistics in Kinesiology, Fifth Edition, introduces basic statistical concepts, with an emphasis on those commonly used in the exercise sciences. Examples drawn from kinesiology fields and extensive problem sets facilitate a deeper understanding of statistical methods and their applications.Table of ContentsChapter 1. Measurement, Statistics, and Research What Is Measurement? Process of Measurement Variables and Constants Research Design and Statistical Analysis Statistical Inference SummaryChapter 2. Organizing and Displaying Data Organizing Data Displaying Data SummaryChapter 3. Percentiles Common Percentile Divisions Calculations Using Percentiles SummaryChapter 4. Measures of Central Tendency Mode Median Mean Relationships Among the Mode, Median, and Mean SummaryChapter 5. Measures of Variability Range Interquartile Range Variance Standard Deviation Definition Method of Hand Calculations Calculating Standard Deviation for a Sample Coefficient of Variation Standard Deviation and Normal Distribution SummaryChapter 6. The Normal Curve Z Scores Standard Scores Probability and Odds Calculating Skewness and Kurtosis SummaryChapter 7. Fundamentals of Statistical Inference Predicting Population Parameters Using Statistical Inference Estimating Sampling Error Levels of Confidence, Confidence Intervals, and Probability of Error An Example Using Statistical Inference Statistical Hypothesis Testing Type I and Type II Error Degrees of Freedom Living With Uncertainty Two- and One-Tailed Tests Applying Confidence Intervals SummaryChapter 8. Correlation and Bivariate Regression Correlation Calculating the Correlation Coefficient Bivariate Regression Homoscedasticity SummaryChapter 9. Multiple Correlation and Multiple Regression Multiple Correlation Partial Correlation Multiple Regression SummaryChapter 10. The t Test: Comparing Means From Two Sets of Data The t Tests Types of t Tests Magnitude of the Difference (Size of Effect) Determining Power and Sample Size The t Test for Proportions SummaryChapter 11. Simple Analysis of Variance: Comparing the Means Among Three or More Sets of Data Assumptions in ANOVA Sources of Variance Calculating F: The Definition Method Determining the Significance of F Post Hoc Tests Magnitude of the Treatment (Size of Effect) SummaryChapter 12. Analysis of Variance With Repeated Measures Assumptions in Repeated Measures ANOVA Calculating Repeated Measures ANOVA Correcting for Violations of the Assumption of Sphericity Post Hoc Tests Interpreting the Results An Example From Leisure Studies and Recreation SummaryChapter 13. Quantifying Reliability Intraclass Correlation Coefficient Standard Error of Measurement SummaryChapter 14. Factorial Analysis of Variance A Between–Between Example A Between–Within Example A Within–Within Example SummaryChapter 15. Analysis of Covariance Relationship Between ANOVA and Regression ANCOVA and Statistical Power Assumptions in ANCOVA The Pretest–Posttest Control Group Design Pairwise Comparisons SummaryChapter 16. Analysis of Nonparametric Data Chi-Square (Single Classification) Chi-Square (Two or More Classifications) Rank Order Correlation Mann-Whitney U Test Kruskal-Wallis ANOVA for Ranked Data Friedman’s Two-Way ANOVA by Ranks SummaryChapter 17. Clinical Measures of Association Relative Risk Odds Ratio Diagnostic Testing SummaryChapter 18. Advanced Statistical Procedures Multilevel Modeling Meta-Analysis Multiple Analysis of Variance Factor Analysis Discriminant Analysis Summary Appendix: Statistical Tables

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Book SynopsisWithin days of the first reports of patients suffering from a mysterious pneumonia in Wuhan, scientists in China had produced a complete genetic sequence of the virus and confirmed that it was a novel SARS-like coronavirus. The genetic sequence was deposited in a public database, making the genetic code available to scientists anywhere in the world. The result was that weeks before the WHO declared the outbreak a global public health emergency and months before COVID-19 was formally designated a pandemic, virologists around the world were already studying the protein spikes on the virus and designing vaccines, which were developed much more quickly, and turned out to be much more effective, than even the most optimistic had predicted. All of this was possible because a biological revolution had taken place a decade earlier: the world had moved into the postgenomic era. In this book, the distinguished microbiologist Hugh Pennington argues that COVID-19 is the first ‘postgenomic pandemic’ – that is, the first pandemic to sweep the world after the postgenomic era was initiated in 2008. Pennington explains the science behind this crucial development and shows how it has revolutionized our ways of understanding and dealing with pandemics, including the pandemic that brought our world to its knees.Trade Review‘A great read, making science accessible to all and demonstrating how advances build on previous science investments in leaps and bounds.’Dame Sally Davies, Master, Trinity College Cambridge ‘A scholarly and intellectually stimulating contribution which covers COVID-19 and sets this in the context of infectious diseases past and present. Pennington’s explanation of the molecular biological aspects of infectious diseases, which are of critical importance in diagnosis and vaccination, is a joy to read, even for those with limited experience.’Professor Jangu Banatvala, Guy's, King's and St Thomas' School of Medicine, King’s College London'informative'NatureTable of ContentsAcknowledgements Foreword 1 The Postgenomic Age; its antecedents 2 Coronaviruses, the beginning 3 COVID-19, the disease 4 Origins. December 2019- January 2020 5 Fangcangs and Nightingales. February-April 2020 6 Test test test! March 2020 7 The Epidemiologic Transition 8 Outbreaks - learning in real time 9 Whole Genome Sequencing 10 Variants 11 Vaccines 12 Pandemics 13 The Future Notes

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Book SynopsisBased on research by a leading geographer and specialist in diffusion theory, The Slow Plague discloses the geographic dimension of the AIDS pandemic. It provides a lucid description of the HIV, its origins, and the extent to which it has now permeated our lives. The author shows how the virus jumps from city to city, creating regional epicenters from which it spreads into surrounding areas. Four case studies at different geographic scales demonstrate the devastating effects of the disease. In Africa the situation is catastrophic, in Thailand it is rapidly becoming so. In the US there are over 300,000 people with AIDS and more than one million infected by the HIV. The relationships between poverty, drugs and HIV infection are brought out poignantly in a chapter about the Bronx. The author argues that a real understanding of AIDS has been hampered by conscious or unconscious beliefs that those affected are, and will continue to be, confined to specific minority groups and to parts of the Third World. He shows that such views have led to fundamental misconceptions about the pattern of the spread of the disease and about those who will be most at risk, now and in the immediate future.Trade Review"Stimulating, with sharp and pungent writing. The author's wide-ranging observations and speculations are full of energy and passion." Nature "The Slow Plague is a clearly written introduction to geographical understanding in HIV/Aids research." Abstracts on Hygiene & Communicable Diseases "This fascinating book should attract a wide readership." Applied Geography "The book would work nicely in an undergraduate geography or interdisciplinary topics course. It would certainly generate enough material to keep lively discussions going throughout the semester and provide every student with something to pursue in more detail for a course paper." Journal of Regional Science "This makes reading this alarming book a truly fascinating experience. I use the term 'alarming' because the book is about a catastrophic pandemic which, according to World Health Organization estimates, may claim 40 million lives world-wide by the year 2000." "Gould is exceptionally good at presenting the 'forest' and never letting the reader get lost in the 'trees'." "This book would work nicely in an undergraduate geography or interdisciplinary topics course. It would certainly generate enough material to keep lively discussions going throughout the semester and provide every student with something to pursue in more detail for a course paper." Journal of Regional Science "The Slow Plague is the most interesting and provocative publication by an academic that I can recall reading. Without any mincing of words, Gould lifts the lid on HIV, on bumbling bureaucracies and narrow-minded investigators." Australian Geographical StudiesTable of ContentsList of maps and figures. Preface: Why a geographer writes about AIDS. Acknowledgements: Intellectual Antennae. Prologue: New Plagues for Old: The Horseman Rides Again. 1. The Killer: HIV and What it does. 2. The Origins of HIV: Closing an Open Question?. 3. The Thin Tendrils of Effects. 4. Sex on a Set: A Backcloth for Disaster. 5. Transmission Break: The Geography of the Condom. 6. How Things Spread: Hierarchical Jumps and Geographic Oozings. 7. Africa: A Continent in Catastrophe. 8. Thailand: How to Optimize an Epidemic. 9. America: Leaks in the System. 10. The Bronx: Poverty, Crack and HIV. 11. The Response: How Many Bureaucrats can Dance on the Head of a Pin?. 12. Time but no Space: the Failure of a Paradigm. 13. The Geography in Confidentiality. 14. Education and Planning: Predicting the Next Maps. 15. Herd Immunity: Riding the Coattails of the HIV. 16. Epilogue: Old Plagues for New. Changing worlds, changing genres: a bibliographic essay. Index.

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Book SynopsisRickettsial diseases have affected humanity since the dawn of civilization. Despite the advent of effective antibiotic therapy, humans continue to be afflicted by rickettsial diseases, which still often go undiagnosed because of their protean clinical manifestations. During the past decade, several major developments have occurred in rickettsiology. With the advent of the newly emerging infections caused by a number of rickettsias, the re-emerging of old pathogenic species of rickettsias that cause both old and new syndromes has helped redefine the level of rickettsial pathogenicity. The intracellular nature of most rickettsias remains a mystery although their genome size is close to that of the free-living neisserias. Advances in molecular techniques have also helped redefine and reclassify rickettsias by maintaining some in the order Rickettsiales and placing others in other bacterial orders. The latter are still included in rickettsial reviews because of historical precedence. These molecular advances also help us to refine our knowledge of rickettsial pathogenesis. This volume is the first of two volumes to result from the 4th International Conference on Rickettsiae and Rickettsial Diseases, in which an effort is made to address and clarify issues from clinical, diagnostic, epidemiologic, and molecular perspectives that have remained unsolved in the past. In this volume, several subdisciplines of rickettsiology are included: genomics and proteomics, a protocol for naming newly isolated rickettsiae; bioterrorism; the pathobiology of reckettsial infections including Q (query) fever, antibiotic resistance, and vaccines; the discovery of new ricketsiae; and the pathobiology of Ehrlichia and Anaplasma infections. This volume. along with Century of Rickettsiology, which will be published in 2006 as an Annals volume, will provide a complete picture of the world-wide range of work that is currently being carried out in the field of rickettsiology. NOTE: Annals volumes are available for sale as individual books or as a journal. For information on institutional journal subscriptions, please visit www.blackwellpublishing.com/nyas. ACADEMY MEMBERS: Please contact the New York Academy of Sciences directly to place your order (www.nyas.org). Members of the New York Academy of Science receive full-text access to the Annals online and discounts on print volumes. Please visit http://www.nyas.org/MemberCenter/Join.aspx for more information about becoming a member.Table of ContentsIntroduction:. New Insights into Rickettsioses: Genomics, Proteomics, Pathobiology, and the International Threat of Rickettsial Diseases: Introduction: Karim E. Hechemy, José A. Oteo, Didier Raoult, David J. Silverman, and José Ramón Blanco. Naming of Rickettsiae and Rickettsial Diseases: Didier Raoult, Pierre-Edouard Fournier, Marina Eremeeva, Stephen Graves, Patrick J. Kelly, José A. Oteo, Zuzana Sekeyova, Akira Tamura, Irina Tarasevich, And Lijuan Zhang. . Part I: Genomics and Proteomics:. 1. Progress in Rickettsial Genome Analysis from Pioneering of Rickettsia prowazekii to the Recent Rickettsia typhi: David H. Walker and Xue-Jie Yu. 2. Rickettsia felis, from Culture to Genome Sequencing: H Ogata, C Robert, S Audic, S Robineau, G Blanc, P E Fournier, P Renesto, J M Claverie, and D Raoult. 3. Dissecting the Rickettsia prowazekii Genome: Genetic and Proteomic Approaches: Aimee M. Tucker, Lewis K. Pannell, and David O. Wood. 4. New Perspectives on Rickettsial Evolution from New Genome Sequences of Rickettsia, particularly R. canadensis, and Orientia tsutsugamushi: Marina E. Eremeeva, Anup Madan, Chris D. Shaw, Kevin Tang, and Gregory A. Dasch. 5. Preliminary Assessment of Genome Differences between the Reference Nine Mile Isolate and Two Human Endocarditis Isolates of Coxiella burnetii: Paul A. Beare, Stephen F. Porcella, Rekha Seshadri, James E. Samuel, and Robert A. Heinzen. 6. Fur-Regulated Genes in Coxiella burnetii: Heather L. Briggs, Mary J. Wilson, Rekha Seshadri, and James E. Samuel. 7. A Minimal Set of DNA Repair Genes Is Sufficient for Survival of Coxiella burnetii under Oxidative Stress: K Mertens, L Lantsheer, and J E Samuel. 8. Identification, Cloning, and Expression of Potential Diagnostic Markers for Q Fever: C C Chao, H W Chen, X Li, W B Xu, B Hanson, and W M Ching. 9. Preliminary Transcriptional Analysis of spoT Gene Family and of Membrane Proteins in Rickettsia conorii and Rickettsia felis: C Rovery, M V La, S Robineau, K Matsumoto, P Renesto, and D Raoult. 10. Phylogenic Analysis of Rickettsial Patatin-like Protein with Conserved Phospholipase A2 Active Sites: Guillaume Blanc, Patricia Renesto, and Didier Raoult. 11. Proteomic Analysis of Rickettsia prowazekii: C C Chao, D Chelius, T Zhang, E Mutumanje, and W M Ching. 12. Rickettsia conorii and R. prowazekii Proteome Analysis by 2DE-MS: A Step toward Functional Analysis of Rickettsial Genomes: Patricia Renesto, Saïd Azza, Alain Dolla, Patrick Fourquet, Guy Vestris, Jean-Pierre Gorvel, and Didier Raoult. 13. Phylogenetic Study of Rickettsia Species Using Sequences of the Autotransporter Protein-Encoding Gene sca2: Maxime Ngwamidiba, Guillaume Blanc, Hiroyuki Ogata, Didier Raoult, and Pierre-Edouard Fournier. 14. Molecular Characterization of a Group of Proteins Containing Ankyrin Repeats in Orientia tsutsugamushi: Nam-Hyuk Cho, Jo-Min Kim, Eun-Kyung Kwon, Se-Yoon Kim, Seung-Hoon Han, Hyuk Chu, Jung-Hee Lee, Myung-Sik Choi, and Ik-Sang Kim. 15. Ehrlichia ruminantium: A Promiscuous Genome: Maria Allsopp, Helena Steyn, Erich Zweygarth, and Basil Allsopp. Part II: Pathobiology of Q Fever Infection:. 16. Coxiella burnetii Infection: Jan Kazar. 17. Coxiella burnetii Whole Cell Lysate Protein Identification by Mass Spectrometry and Tandem Mass Spectrometry: Ludovit Skultety, Lenka Hernychova, Rudolf Toman, Martin Hubalek, Katarina Slaba, Jana Zechovska, Veronika Stofanikova, Juraj Lenco, Jiri Stulik, and Ales Macela. 18. Replication of Coxiella burnetii Is Inhibited in CHO K-1 Cells Treated with Inhibitors of Cholesterol Metabolism: Dale Howe and Robert A. Heinzen. 19. Protective Immunity against Q Fever Induced with a Recombinant P1 Antigen Fused with HspB of Coxiella burnetii: Qingfeng Li, Dongsheng Niu, Bohai Wen, Meiling Chen, Ling Qiu, and Jingbo Zhang. 20. Immunization Experiments with Recombinant Coxiella burnetii Proteins in a Murine Infection Model: Judith Tyczka, Sandra Eberling, and Georg Baljer. 21. Structural and Functional Characterization of the Glycan Antigens Involved in Immunobiology of Q Fever: Pavol Vadovic, Katarina Slaba, Marcela Fodorova, Ludovit Skultety, and Rudolf Toman. 22. Lack of Dendritic Cell Maturation Following Infection by Coxiella burnetii Synthesizing Different Lipopolysaccharide Chemotypes: Jeffrey G. Shannon, Dale Howe, and Robert A. Heinzen. 23. TLR2 Is Necessary to Inflammatory Response in Coxiella burnetii Infection: Soraya Meghari, Amélie Honstettre, Hubert Lepidi, Bernardt Ryffel, Didier Raoult, and Jean-Louis Mege. 24. Comparative Virulence of Phase I and II Coxiella burnetii in Immunodeficient Mice: Masako Andoh, Kasi E. Russell-Lodrigue, Guoquan Zhang, and James E. Samuel. 25. Balb/c Mouse Model and Real-Time Quantitative Polymerase Chain Reaction for Evaluation of the Immunoprotectivity against Q Fever: Jingbo Zhang, Bohai Wen, Meiling Chen, Jun Zhang, and Dongsheng Niu. 26. Hepatitis Associated with C. burnetii Isolates: K E Russell-Lodrigue, M W J Poels, G Q Zhang, D N Mcmurray, and J E Samuel. 27. Q Fever Research Group (QRG), Adelaide: Activities-Exit Summary 1980-2004: B Marmion, R Harris, P Storm, K Helbig, I Penttila, D Worswick, and L Semendric. Part III: Pathobiology of Rickettsial Infection, Antibiotic Resistance, and Vaccines:. 28. Rickettsial Infections: Juan P. Olano. 29. The Presence of Eschars, but Not Greater Severity, in Portuguese Patients Infected with Israeli Spotted Fever: Rita De Sousa, Nahed Ismail, Sónia Dória-Nóbrega, Pedro Costa, Tiago Abreu, Ana França, Mário Amaro, Paula Proença, Paula Brito, José Poças, Teresa Ramos, Graça Cristina, Graça Pombo, Liliana Vitorino, Jorge Torgal, Fátima Bacellar, and David Walker. 30. Similarities and Differences in Host Cell Signaling following Infection with Different Rickettsia Species: Elena Rydkina, David J. Silverman, and Sanjeev K. Sahni. 31. Potential Roles for Regulatory Oxygenases in Rickettsial Pathogenesis: Sanjeev K. Sahni, Elena Rydkina, Abha Sahni, Suresh G. Joshi, and David J. Silverman. 32. Growth of Typhus Group and Spotted Fever Group Rickettsiae in Insect Cells: Tsuneo Uchiyama. 33. Genome Comparison Analysis of Molecular Mechanisms of Resistance to Antibiotics in the Rickettsia Genus: J M Rolain And D Raoult. 34. Cloning and Sequence Analysis of the 22-kDa Antigen Genes of Orientia tsutsugamushi Strains Kato, TA763, AFSC 7, 18-032460, TH1814, and MAK 119: Hong Ge, Min Tong, Andrew Li, Rajan Mehta, and Wei-Mei Ching. 35. Nitric Oxide as a Mediator of Increased Microvascular Permeability during Acute Rickettsioses: Michael E. Woods, Gary Wen, and Juan P. Olano. 36. Cloning and Expression of 51-kDa Antigenic Protein of Neorickettsia risticii NR-JA1: Myeong-Kyu Park, Eun-Ha Kim, Mae-Rim Cho, Ying-Hua Yi, Mi-Jin Lee, Devendra H. Shah, Jin-Ho Park, Bae-Keun Park, Seong-Kug Eo, John-Hwa Lee, and Joon-Seok Chae. 37. Activity of Telithromycin against Thirteen New Isolates of C. burnetii Including Three Resistant to Doxycycline: Jean-Marc Rolain, Frédéric Lambert, and Didier Raoult. 38. Effect of Antibiotic Treatment in Patients with DEBONEL/TIBOLA: V Ibarra, J R Blanco, A Portillo, S Santibáñez, L Metola, and J A Oteo. 39. Structural Features of Lipopolysaccharide from Rickettsia Typhi: The Causative Agent of Endemic Typhus: Marcela Fodorova, Pavol Vadovic, Ludovit Skultety, Katarina Slaba, and Rudolf Toman. 40. Analysis of Immunoprotectivity of the Recombinant OmpA of Rickettsia heilongjiangensis: Yanmei Jiao, Bohai Wen, Meiling Chen, Dongsheng Niu, Jun Zhang, and Ling Qiu. 41. Short- and Long-Term Immune Responses of CD-1 Outbred Mice to the Scrub Typhus DNA Vaccine Candidate: p47Kp: Guang Xu, Suchismita Chattopadhyay, Ju Jiang, Teik-Chye Chan, Chien-Chung Chao, Wei-Mei Ching, and Allen L. Richards. Part IV: Bartonella:. 42. Bartonellae as Elegant Hemotropic Parasites: Richard J. Birtles. 43. Production of Recombinant Protein Pap31 and Its Application for the Diagnosis of Bartonella bacilliformis Infection: A Taye, H Chen, K Duncan, Z Zhang, L Hendrix, J Gonzalez, and W Ching. 44. Bartonella bacilliformis GroEL: Effect on Growth of Human Vascular Endothelial Cells in Infected Cocultures: Laura S. Smitherman and Michael F. Minnick. 45. Occurrence of Bartonella henselae and Bartonella quintana among Human Immunodeficiency Virus-Infected Patients: M Pape, P Kollaras, K Mandraveli, A Tsona, S Metallidis, P Nikolaidis, and S Alexiou-Daniel. 46. Bacillary Angiomatosis Caused by Bartonella Quintana: Montserrat Sala, Bernat Font, Isabel Sanfeliu, Mariela Quesada, Imma Ponts, and Ferran Segura. 47. Molecular Screening of Bartonella Species in Rodents from the Russian Far East: Oleg Mediannikov, Leonid Ivanov, Nina Zdanovskaya, Nelya Vysochina, Pierre-Edouard Fournier, Irina Tarasevich, and Didier Raoult. 48. Characterization of Genes Involved in Long-Term Bacteremia in Mice by Bartonella birtlesii: Maria Mavris, Henri Saenz, Martine Monteil, Henri-Jean Boulouis, Christoph Dehio, and Muriel Vayssier-Taussat. Part V: New Rickettsiae or Rickettsiae Not Previously or Recently Known to Cause Human Infection:. 49. Rickettsia parkeri as a Paradigm for Multiple Causes of Tick-Borne Spotted Fever in the Western Hemisphere: Christopher D. Paddock. 50. Detection of a Typhus Group Rickettsia in Amblyomma Ticks in the State of Nuevo Leon, Mexico: Aaron Medina-Sanchez, Donald H. Bouyer, Virginia Alcantara-Rodriguez, Claudio Mafra, Jorge Zavala-Castro, Ted Whitworth, Vsevolod L. Popov, Ildefonso Fernandez-Salas, and David H. Walker. 51. Detection of a Non-Pathogenic Variant of Anaplasma phagocytophilum in Ixodes ricinus from La Rioja, Spain: A Portillo, A S Santos, S Santibáñez, L Pérez-Martínez, J R Blanco, V Ibarra, and J A Oteo. 52. Phylogenetic Analysis of a Novel Molecular Isolate of Spotted Fever Group Rickettsiae from Northern Peru: Candidatus Rickettsia andeanae: Ju Jiang, Patrick J. Blair, Vidal Felices, Cecilia Moron, Manuel Cespedes, Elizabeth Anaya, George B. Schoeler, John W. Sumner, James G. Olson, and Allen L. Richards. 53. Molecular and Biological Characterization of a Novel Coxiella-like Agent from Carios capensis: Will K. Reeves, Amanda D. Loftis, Rachael A. Priestley, William Wills, Felicia Sanders, And Gregory A. Dasch. 54. DEBONEL/TIBOLA: Is Rickettsia slovaca the Only Etiological Agent?: V Ibarra, A Portillo, S Santibáñez, J R Blanco, L Pérez-Martínez, J Márquez, And J A Oteo. 55. Low Risk of Developing Human Rickettsia aeschlimannii Infection in the North of Spain: J A Oteo, A Portillo, J R Blanco, V Ibarra, L Pérez-Martínez, C Izco, A Pérez-Palacios, and S Jiménez. 56. Novel Spotted Fever Group Rickettsiae (SFGR) Infecting Amblyomma americanum Ticks in Ohio, USA: D J Kelly, J R Carmichael, G C Booton, K F Poetter, And P A Fuerst. 57. Old and New Human Rickettsiosis in Minas Gerais State, Brazil: S B Calic, C M Barcellos-Rocha, R C Leite, C L Mafra, and M A M Galvão. 58. Ehrlichia ruminantium: An Emerging Human Pathogen?: M T E P Allsopp, M Louw, And E C Meyer. Part VI: Pathobiology of Ehrlichia and Anaplasma Infections:. 59. Anaplasma and Ehrlichia Infection: J Stephen Dumler. 60. The Interactions of Anaplasma phagocytophilum, Endothelial Cells, and Human Neutrophils: Michael J. Herron, Marna E. Ericson, Timothy J. Kurtti, and Ulrike G. Munderloh. 61. Balancing Protective Immunity and Immunopathology: A Unifying Model of Monocytotropic Ehrlichiosis: Nahed Ismail and David H. Walker. 62. Susceptibility and Resistance to Monocytic Ehrlichiosis in the Mouse: Gary M. Winslow, Constantine Bitsaktsis, and Eric Yager. 63. Overcoming Barriers to the Transformation of the Genus Ehrlichia: S Wesley Long, Ted J. Whitworth, David H. Walker, and Xue-Jie Yu. 64. Mechanisms of Immunological Control of Anaplasma phagocytophilum in Mice: Christina Rinkler, Yvonne Kern, Christian Bogdan, and Friederike D. Von Loewenich. 65. Platelet Dysfunction after Association with Anaplasma phagocytophilum in Vitro: Dori L. Borjesson, Jennifer L. Brazzell, and Regina Feferman. 66. Anaplasma phagocytophilum Infection Reduces Expression of Phagocytosis-Related Receptors on Neutrophils: Justin W. A. Garyu and J Stephen Dumler. 67. Analysis of Ehrlichial p28 Gene Expression in a Murine Model of Persistent Infection: Patricia A. Crocquet-Valdes, Jere W. Mcbride, Hui-Min Feng, Nahed Ismail, Melissa A. Small, Xue-Jie Yu, and David H. Walker. 68. Innate Immune Tissue Injury and Murine HGA: Tissue Injury in the Murine Model of Granulocytic Anaplasmosis Relates to Host Innate Immune Response and Not Pathogen Load: Diana G. Scorpio, Friederike D. Von Loewenich, Christian Bogdan, and J Stephen Dumler. 69. Cytokine Responses in Dogs Infected with Ehrlichia canis Oklahoma Strain: Tomoko Tajima and Yasuko Rikihisa. 70. Molecular Characterization of E. canis gp36 and E. chaffeensis gp47 Tandem Repeats among Isolates from Different Geographic Locations: C Kuyler Doyle, Ana Maria Cardenas, Daniel M. Aguiar, Marcelo B. Labruna, Lucy M. Ndip, Xue-Jie Yu, and Jere W. Mcbride. 71. Prophylactic Use of Sustained-Release Doxycycline Blocks Tick-Transmitted Infection by Anaplasma phagocytophilum in a Murine Model: Robert F. Massung, Nordin S. Zeidner, Marc C. Dolan, Dawn Roellig, Elizabeth Gabitzsch, Danielle R. Troughton, and Michael L. Levin. 72. Concentration of Procalcitonin and C-Reactive Protein in Patients with Human Granulocytic Anaplasmosis and the Initial Phase of Tick-Borne Encephalitis: Stanka Lotric-Furlan, Tereza Rojko, and Franc Strle. Part VII: Ricketsiae Agents of Bioterrorism:. 73. Genome Analysis of Coxiella burnetii Species: Insights into Pathogenesis and Evolution and Implications for Biodefense: Rekha Seshadri and James Samuel. 74. Attack Scenarios with Rickettsial Species: Implications for Response and Management: G Pappas, N Akritidis, and E V Tsianos. 75. The Pathogen Resource Integration Center: Implications for Rickettsial Research: Mark E. Hance, Michael J. Czar, Abdu Azad, Anjan Purkayastha, Eric E. Snyder, Oswald R. Crasta, Joao C. Setubal, and Bruno W. Sobral. 76. Evaluation of Low Concentration Aerosol for Infecting Humans with the Q Fever Pathogen: Eugene Vorobeychikov, Alexander Vasilenko, Nikolay Tokarevich, Ludmila Yakovleva, and Boris Nikolaev. Index of Contributors

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Book SynopsisThe worldwide epidemiology of rickettsial diseases, including veterinary rickettsiology, is the focus of this volume, which is the second volume resulting from the 4th International Conference on Rickettsiae and Rickettsial Diseases. The heterogeneity of clinical presentations of rickettsial diseases is greater than had previously been appreciated, and atypical and previously unseen presentations are discussed here along with chapters on known vectors and vectors previously not known to transmit a given rickettsial species. This volume and volume 1063, New Insights into Rickettsioses, complete the picture presented at the conference of the wide range of work that is being carried out in rickettsiology worldwide. NOTE: Annals volumes are available for sale as individual books or as a journal. For information on institutional journal subscriptions, please visit www.blackwellpublishing.com/nyas. ACADEMY MEMBERS: Please contact the New York Academy of Sciences directly to place your order (www.nyas.org). Members of the New York Academy of Science receive full-text access to the Annals online and discounts on print volumes. Please visit http://www.nyas.org/MemberCenter/Join.aspx for more information about becoming a memberTable of ContentsOverview: A Century of Rickettsiology. (Karim E. Hechemy). Insights into Mechanisms of Bacterial Antigenic Variation Derived from the Complete Genome Sequence of Anaplasma Marginale. (Guy H. Palmer & Kelly A. Brayton.). Part I: Epidemiology of Rickettsial Disease. 1. Rickettsiosis in Europe. (J.R. Blanco & J.A.Oteo). 2. Epidemiology of Rickettsioses in North Africa. (Amel Letaief). 3. Rickettsioses in Sub-Saharan Africa. (P. Parola). 4. Rickettsial Diseases in Russia. Irina V. Tarasevich & Oleg Y. Mediannikov. 5. Rickettsioses in Japan and Far East. (Fumihiko Mahara). 6. Rickettioses in Australia. (Stephen Graves & John Stenos). 7. Ecology and Molecular Epidemiology of Tick-Borne Rickettsioses and Anaplasmoses with Natural Foci in Russia and Kazakhstan. (Nikolay Rudakov & Didier Raoult). 8. Far Eastern Tick-borne Rickettsiosis: Identification of Two New Cases and Tick Vector. (Oleg Mediannikov & Didier Raoult). 9. Seroprevalence of Anaplasma phagocytophilum among Forestry Rangers in Northern and North-eastern Poland. (Joanna Stańczak & Anna Grzeszczuk). 10. Seroprevalence of Human Anaplasmosis in Slovene Forestry Workers. (Tereza Rojko & Stanka Lotric-Furlan). 11. Molecular Epidemiology of Human and Bovine Anaplasmosis in Southern Europe. (Victoria Naranjo & José de la Fuente). 12. Human exposure to Anaplasma phagocytophilum in Portugal. (A.S. Santos & J.S. Dumler). 13. Human Granulocytic Anaplasmosis (HGA) in North-Eastern Italy. (Anna Beltrame & Pierluigi Viale). 14. Human Infection with Ehrlichia Canis Accompanied by Clinical Ssigns in Venezuela. (Miriam Perez & Yasuko Rikihisa). 15. Human Monocytic Ehrlichiosis and Human Granulocytic Anaplasmosis in the United States, 2001– 2002. (Linda J. Demma & D.L. Swerdlow). 16. Anthropogenic Effects on Changing of Q Fever Epidemiology in Russia. (N.K.Tokarevicha & E.V.Vorobeichikov). 17. Gipuzkoa, Basque Country, Spain (1984-2004), a Hyperendemic Area of Q Fever. (M. Montes & E. Perez-Trallero). 18. Serotesting of Human Q Fever Distribution on Wider Area of Bosnia and Herzegovina. (S. Hamzić & Š. Zvizdić). 19. Ticks and Tick-borne Rickettsiae Surveillance in Montesinho Natural Park – Portugal. (M. Santos-Silva & F. Bacellar). 20. Current Knowledge of Rickettsial Diseases in Italy. (Lorenzo Ciceroni & Alessandra Ciervo). 21. No Serological Evidence for Rickettsial Diseases among Danish Elite Orienteers. (Peter Schiellerup & Karen A. Krogfelt). 22. Rocky Mountain Spotted Fever in the United States, 1997 – 2002. (A.S. Chapman & D.L. Swerdlow). 23. Rickettsia Felis in the Americas: M.A.M. (Galvão & D.H. Walker). 24. Evidence of Infection in Humans with Rickettsia typhi and Rickettsia felis in Catalonia, Northeast of Spain. (María Mercedes Nogueras & Ferran Segura). 25. Boutonneuse Fever and Climate Variability. (Rita de Sousa & Fatima Bacella). 26. Brazilian Spotted Fever. A Case-series from an Endemic Area in Southeastern Brazil: Epidemiological Aspects. (R.N. Angerami & L.J. Silva). 27. Prospective Evaluation of Rickettsioses in the Trakya (European) Region of Turkey and Atypic Presentations of Rickettsia Conorii. (F. Kuloglu & D. Raoult). 28. Reemergence of Rickettsiosis in Oran, Algeria. (N. Mouffok & D. Raoult). 29. Geoinformation Mapping of Siberian Tick-borne Rickettsiosis Foci in Altai Krai. (Nadezhda Yu.Kurepina & Nikolai V. Rudakov). 30. Methods of Isolation and Cultivation of New Rickettsiaer from Nozoarea of the North Asian Tick Typhus in Siberia. (I.E. Samoylenko & N.V. Rudakov). 31. Validation of a Rickettsia Prowazekii-specific Quantitative Real-time PCR Cassette and DNA Extraction Protocols Using Experimentally Infected Lice. (Patrick J. Rozmajzl & Allen L. Richards). 32. Detection and Identification of a Novel Spotted Fever Group Rickettsia in Western Australia. (Helen Owen & Stan Fenwick). 33. Low Incidence of Tick-Borne Rickettsiosis in a Spanish Mediterranean Area. (A. Guerrero, F. Gimeno, M. Cuenca). Part II: Clinical Aspects and Diagnosis. 34. Rickettsia slovaca infection. Debonel/Tibola. (V. Ibarra & M. Sanz). 35. Arthropod-borne Diseases in Homeless. (Philippe Brouqui & Didier Raoult). 36. Clinical Diagnosis and Treatment of Human Granulocytotropic Anaplasmosis. (Johan S. Bakken & J. Stephen Dumler). 37. Brazilian Spotted Fever. A Case-series from an Endemic Area in Southeastern Brazil: Clinical Aspects. (R.N. Angerami & L.J. Silva). 38. Revisiting Brazilian Spotted Fever Focus of Caratinga, Minas Gerais State, BRAZIL. (Mam Galvão & D.H. Walker). 39. Fatal Brazilian Spotted Fever Confirmed by Immunohistochemical Staining and Sequencing Methods on Fixed Tissues. (Tatiana Rozental & Elba R. S. Lemos). 40. Detection of Rickettsia rickettsii and Rickettsia spp. in 24 Patient Blood Clots from Different Municipalities of the State of São Paulo, Brazil. (Flávia Sousa Gehrke & Teresinha Tizu Sato Schumake). 41. Rickettsia Side Effects on a Sexual Partner and Eradication Process of Rickettsia in the Infected Person: An Example of the Clare Effect. (Maurita C. McKay & Frank Parsons). 42. Mediterranean Spotted Fever in Crete Greece: Clinical and Therapeutic Data of 15 Consecutive Patients (A. Germanakis & Y. Tselentis). Part III: Vectors. 43. Prevalence of Rickettsia felis-like and Bartonella spp. in Ctenocephalides felis and Ctenocephalides canis from La Rioja (Northern Spain). (J.R. Blanco & J.A. Oteo). 44. The Prediction of Habitat Suitability for Ticks. (Agustín Estrada-Peña). 45. Natural Infection, Transovarial Transmission, and Transstadial Survival of Rickettsia bellii in the Tick Ixodes Loricatus (Acari: Ixodidae) from Brazil. (Mauricio C. Horta & Marcelo B. Labruna). 46. Prevalence of Bacterial Agents in Ixodes Persulcatus Ticks from Vologda Province of Russia. (Marina E. Eremeeva & Gregory A. Dasch). 47. Prevalence of Rickettsia felis in Ctenocephalides felis and Ctenocephalides canis from Uruguay. (J. M. Venzal & J. A. Oteo). 48. Highly Variable Year to Year Prevalence of Anaplasma phagocytophilum in Ixodes ricinus Ticks in Northeastern Poland: Four Years Follow-up. (Anna Grzeszczuk & Joanna Stańczak). 49. Detection of Anaplasma phagocytophilum, Coxiella burnetii, Rickettsia spp. and Borrelia burgdorferi s. l. in Ticks, and Wild-living Animals in Western and Middle Slovakia. (Katarína Smetanová, Katarína Schwarzová & Elena Kocianová). 50. Prevalence of Anaplasma phagocytophilum, Rickettsia spp. and Borrelia burgdorferi sensu lato DNA in questing Ixodes ricinus ticks from France. (Lénaïg Halos & Muriel Vayssier-Taussat). 51. Prevalence of Spotted Fever Group Rickettsia (SFGR) Species Detected in Ticks in La Rioja, Spain. (J. A. Oteo & M. Sanz). 52. Prevalence of Rickettsia slovaca in Dermacentor marginatus Ticks Removed from Wild Boar (Sus scrofa) in Northeastern Spain. (A. Ortuño & F. Segura). 53. Prevalence Data of Rickettsia slovaca and Other SFG Rickettsiae Species in Dermacentor marginatus in Southeastern of the Iberian Peninsula. (F.J. Márquez & M.A. Muniain). 54. Spotted Fever Group Rickettsiae in Ticks Feeding on Humans in Northwestern Spain. Is Rickettsia conorii vanishing? (Pedro Fernández-Soto & Antonio Encinas-Grandes). 55. A Rickettsial Mixed Infection in a Dermacentor variabilis Tick from Ohio. (Jennifer R. Carmichael & Paul A. Fuerst). 56. Rocky Mountain Spotted Fever in Arizona: Documentation of Heavy Environmental Infestations of Rhipicephalus sanguineus at an Endemic Site. (William L. Nicholson & David Swerdlow). 57. Preliminary Report: An Outbreak of Rocky Mountain Spotted Fever Associated with a Novel Tick Vector, Rhipicephalus sanguineus — Arizona, 2004. (Linda J. Demma, W. L. Nicholson, J. McQuiston). 58. Incidence and Distribution Pattern of Rickettsia felis in Peridomestic Fleas from Andalusia (Southeast Spain). (F.J. Márquez & J. Pachón). 59. Molecular Identification of Rickettsia felis-like Bacteria in Haemaphysalis sulcata Ticks Collected from Domestic Animals in Southern Croatia. (Darja Duh & Tatjana Avšič-Županc). 60. Expression of rOmpA and rOmpB Protein in Rickettsia massiliae during Rhipicephalus turanicus Life Cycle. (Motohiko Ogawa & Philippe Brouqui). 61. Lice Infestation and Lice Control Remedies in Ukraine. (I. Kurhanova). 62. Prevalence of Rickettsia felis in the Fleas Ctenocephalides Felis Felis and Ctenocephalides canis from Two Indian Villages in São Paulo Municipality, Brazil. (Mauricio C. Horta & Teresinha T.S. Schumaker). 63. Population Survey of Egyptian Arthropods for Rickettsial Agents. (Amanda D. Loftis & Gregory A. Dasch). 64. First Molecular Detection of R. conorii, R. aeschlimannii, and R. massiliae in Ticks from Algeria. (I. Bitam & D. Raoult). 65. Ornithodoros moubata, a Soft Tick Vector for Rickettsia in East Africa? (Sally J. Cutler & Julie C. Scott). 66. Detection of Memebers of the Genera Rickettsia, Anaplasma, and Ehrlichia in Ticks Collected in the Asiatic Part of Russia. (Stanislav Shpynov & Didier Raoult). 67. Characterization of Dermacentor variabilis Molecules Associated with Rickettsial Infection. (Kevin R. Macaluso & Abdu F. Azad). 68. Ticks, Tick-borne Rickettsiae and Coxiella burnetii in the Greek island of Cephalonia. (A. Psaroulaki & Y. Tselentis). Part IV: Veterinary Rickettsiology. 69. Molecular Characterization of Rickettsia rickettsii Infecting Dogs and People in North Carolina. (Linda Kidd & Edward Breitschwerdt). 70. Bartonella Infection in Domestic Cats and Wild Felids. (Bruno B. Chomel & Sophie Molia). 71. Anaplasmosis: Focusing on Host-Vector-Pathogen Interactions for Vaccine Development. (José de la Fuente & Katherine M. Kocan). 72. New Findings on Members of the Family Anaplasmataceae of Veterinary Importance. (Yasuko Rikihisa). 73. Anaplasma phagocytophilum in Ruminants in Europe. Zerai Woldehiwet. 74. Epidemiological Survey of Ehrlichia canis and Related Species Infection in Dogs in Eastern Sudan. (Hisashi Inokuma & Philippe Brouqui). 75. Surveys on Seroprevalence of Canine Monocytic Ehrlichiosis among Dogs Living in the Ivory Coast and Gabon and Evaluation of a Quick Commercial Test Kit Dot-ELISA. (Bernard Davoust & Daniel Parzy). 76. Reservoir Competency of Goats for Anaplasma phagocytophilum. (Robert F. Massung & Thomas N. Mather). 77. An Epidemiological Study on Anaplasma Infection in Cattle, Sheep and Goats in Mashhad Suburb, Khorasan Province, Iran. (G.R.Razmi & M.R. Aslani). 78. Cytokine Gene Expression by Peripheral Blood Leukocytes in Dogs Experimentally Infected with a New Virulent Strain of Ehrlichia canis. (Ahmet Unver & Yasuko Rikihisa). 79. Serological Evaluation of Anaplasma phagocytophilum Infection in Livestock in North-Western Spain. (Inmaculada Amusategui, Ángel Sainz, Miguel Ángel Tesouro). 80. Anaplasma phagocytophilum Infection in Cattle in France. (Koutaro Matsumoto & Philippe Brouqui). 81. Understanding the Mechanisms of Transmission of Ehrlichia ruminantium and Its Influence on the Structure of Pathogen Populations in the Field. (Nathalie Vachiéry & Dominique Martinez). 82. Public-Health Problem of Zoonoses with Emphasis on Q Fever. (E. Bešlagić & Š. Zvizdić). 83. Incidence of Ovine Abortion by Coxiella burnetii in Northern Spain. (B. Oporto … & A. L. Garcia-Perez). 84. Detection of Coxiella burnetii in Market Chicken Eggs and Mayonnaise. (Noriyuki Tatsumi & Kazuo Yamaguchi). 85. The Efficacy of Several Anti-tick Treatments to Prevent the Transmission of Rickettsia conorii under Natural Conditions. (A. Estrada-Peña & Miguel Servet). 86. The Occurrence of Spotted Fever Group (SFG) Rickettsiae in Ixodes ricinus Ticks (Acari: Ixodidae) in Northern Poland. (Joanna Stańczak). 87. Molecular Survey of Ehrlichia canis and Anaplasma phagocytophilum from Blood of Dogs Living in Italy. (L. Solano-Gallego & M. Caldin). 88. Spotted Fever Group Rickettsial Infection in Dogs from Eastern Arizona. How Long Has It Been There?. (William L. Nicholson & Linda J. Demma). Part V: Isolation, Cell Culture, and Diagnostics. 89. Isolation of Rickettsia Rickettsii and Rickettsia bellii in Cell Culture from the Tick Amblyomma aureolatum in Brazil. (Adriano Pinter & Marcelo B. Labruna). 90. Multiplexed Serology in Atypical Bacterial Pneumonia. (Frédérique Gouriet & Didier Raoult). 91. Isolation of Anaplasma phagocytophilum Strain Ap-Variant 1 in a Tick-Derived Cell Line. (Robert F. Massung & Timothy J. Kurtti). 92. Human Anaplasmosis: the First Spanish Case Confirmed by PCR. (J. C. García & J. A. Oteo). 93. Two Cases of Human Granulocytic Ehrlichiosis in Sardinia-Italy, Confirmed by PCR. (S. Mastrandrea & G. Masala). 94. Multiplex Detection of Ehrlichia and Anaplasma Pathogens in Vertebrate and Tick Hosts by Real-Time RT-PCR. (Kamesh R. Sirigireddy & Roman R. Ganta). 95. Identification and Characterization of Coxiella burnetii Strains and Isolates Using Monoclonal Antibodies. (Z. Sekeyová & E. Kováčová). 96. Comparison of Four Commercially Available Assays for the Detection of IgM Phase II Antibodies to Coxiella Burnetii in the Diagnosis of Acute Q Fever. (Dimitrios Frangoulidis & Hermann Meyer). 97. Evaluation of a Real-time PCR SAssay to Detect Coxiella burnetii. (Silke R. Klee & Bernd Appel). 98. Diagnosis of Acute Q Fever by PCR on Sera During a Recent Outbreak in Rural South Australia. (M. Turra & M. Qiao). 99. Evaluation of IgG Antibodies Response against Rickettsia conorii and Rickettsia slovaca in Patients with Debonel/Tibola. (S. Santibáñez & J. A. Oteo). 100. Molecular Typing of Novel Rickettsii rickettsii Isolates from Arizona. (Marina E. Eremeeva & Gregory A. Dasch). 101. Ten Years' Experience of Isolation of Ricketsia spp. (Mariela Quesada, Isabel Sanfeliu, and Ferran Segura). 102. Automated Method Based in VNTR Analysis for Rickettsiae Genotyping. (Liliana Vitorino & Líbia Zé-Zé). 103. Monitoring of humans and animals for the presence of various rickettsiae and Coxiella burnetii by serological methods. (E. Kováčová & D. Španelová). 104. Early Diagnosis of Rickettsioses by Electrochemiluminscence. (Gary Wen & Juan P. Olano). 105. Corpuscular Antigenic Microarray for the Serodiagnosis of Blood Culture-negative Endocarditis. (Laurent Samson & Didier Raoult). 106. Proposal to Create Subspecies of Rickettsia sibirica and an Emended Description of Rickettsia sibirica. (Pierre-Edouard Fournier & Didier Raoult). 107. Comparison of Immune Response against Orientia tsutsugamushi, a Causative Agent of Scrub Typhus, in 4-week-old and 10-week-old Scrub Typhus-infected Laboratory Mice Using Enzyme-Linked Immunosorbent Assay (ELISA) Technique. (Kriangkrai Lerdthusnee & James. W. Jones). 108. Methods of Isolation and Cultivation of New Rickettsiae from the Nosoarea of the North Asian Tick Typhus in Diberia. (L.E. Samoylenko, L.V. Kumpan, S.N. Shpynov, A.S. Obert, O.V. Butakov, and N.V. Rudakov. 109. Rickettsia spp. in Ixodes ricinus Ticks in Bavaria, Germany. (Wölfel, R. Terzioglu, J. Kiessling, S. Wilhelm, S. Essbauer, M. Pfeffer, and G. Dobler). Index of Contributors.

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Book SynopsisCovid and . . . How To Do Rhetoric in a Pandemic is among the first edited collections to consider how rhetoric shapes Covid’s disease trajectory. Arguing that the circulation of any virus must be understood in tandem with the public communication accompanying it, this collection converses with interdisciplinary stakeholders also committed to the project of social wellness during pandemic times. With inventive ways of thinking about structural inequities in health, these essays showcase the forces that pandemic rhetoric exerts across health conditions, politics, and histories of social injustice.

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Book SynopsisExamines psychiatric epidemiology's unique evolution, conceptually and socially, within and between diverse regions and cultures, underscoring its growing influence on the biopolitics of nations and worldwide health campaigns. Psychiatric epidemiology, like the epidemiology of cancer, heart disease, or AIDS, contributes increasingly to shaping the biopolitics of nations and worldwide health campaigns. Despite the field's importance, this is the first volume of historical scholarship addressing psychiatric epidemiology. It seeks to comprehensively trace the development of the discipline and the mobilization of its constructs, methods, and tools to further social ends. It is through this double lens—conceptual and social—that it envisions the history of psychiatric epidemiology. Furthermore, its chapters constitute elements for that history as a global phenomenon, formed by multiple approaches. Those numerous historical paths have not resulted in a uniform disciplinary field based on a common paradigm, as happened arguably in the epidemiology of cardiovascular disease and cancer, but in a plurality of psychiatric epidemiologies driven by different intellectual questions, political strategies, reformist ideals, national cultures, colonial experiences, international influences, and social control objectives. When examined together, the chapters depict an uneven global development of epidemiologies formed within distinct political-cultural regions but influenced by the transnational circulation and selective uptake of concepts, techniques, and expertise. These moved through multidirectional pathways between and within the Global North and South. Authored by historians, anthropologists, and psychiatrists, chapters trace this complex history, focusing on Brazil, Nigeria, Senegal, India, Taiwan, Japan, the United Kingdom, the United States and Canada, as well as multicountry networks.Trade ReviewThis book is a must-read for health professionals and historians who are interested in exploring the origins of current research including the legacies of colonialism. * SOCIAL HISTORY OF MEDICINE *Table of ContentsAcknowledgments Introduction Anne M. Lovell and Gerald M. Oppenheimer Part One: Constructing Mental Health Utopias and Dystopias with Epidemiology 1. From Epidemics of Terror to Landscapes of Fear: Psychiatric Epidemiology and the Psychological Reconstruction of Post-War Britain Rhodri Hayward 2. Self-Participatory Surveillance: The Hisayama Study on Dementia in Japan Junko Kitanaka 3. A Local Epistemic History of Psychiatric Epidemiology in Brazil: Pathways of Divergence from Global Epidemiology Naomar Almeida-Filho Part Two: Troubling the Boundaries of Psychiatric Epidemiology 4. When Risk Factor Epidemiology Met Mental Health: The Narrative of Cardiovascular Disease and the Type A Personality Pattern Gerald M. Oppenheimer and Richard Neugebauer 5. The First Epidemiological Studies in the Transcultural Psychiatry Section at McGill University Emmanuel Delille Part Three: De-centering Psychiatric Epidemiology in a Postcolonial world 6. Of Fairies, Robots, Witches, and Zombies: Conceptualizing a History of Cross-Cultural Psychiatric Epidemiology in Nigeria Matthew M. Heaton 7. Bringing Psychiatric Epidemiology to a Senegalese "Living Laboratory": Knowledge-Production and Erasure in the Interstices of Science Anne M. Lovell 8. The Evolution of Community Epidemiological Studies in India: A Subaltern Critique Pratap Sharan, Ananya Mahapatra, Debjani Das, and Alok Sarin 9. Taming the Tropics with Numbers: The Origins of Psychiatric Epidemiology in Colonial Taiwan Harry Yi-Jui Wu Selected Bibliography Contributors Index

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Book SynopsisIn Dark Winter, world-leading epidemiologist Professor Raina MacIntyre navigates the past, present and future of pandemics and biosecurity. MacIntyre examines the history of biological warfare (and why it is called the 'poor man's nuke'), Soviet and US bioweapons programmes, developments in genetic engineering, synthetic biology and catastrophic laboratory accidents. She also explores the COVID-19 pandemic and the heated debate around its origins, and shares the analysis she has conducted in trying to determine whether it's a natural or unnatural pandemic.Looking ahead, MacIntyre outlines the future of genetic engineering, synthetic biology and bioterrorism, and the national and global security needed to manage quantum changes in technology, along with how we might avoid future pandemics.

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Book SynopsisArthropod transmitted infections continue to be a front-line issue in all regions of the world. Understanding the insects that transmit diseases, the mechanisms of infection and the resulting diseases is vital to doctors, veterinarians, public health workers and disease control agencies. This major reference examines the biology, classification and control of arthropods that cause disease in animals and humans. The morphology, taxonomy and phylogeny of fleas, flies, lice, mites, midges, mosquitoes and ticks are described, with descriptions of their medical and veterinary significance, diseases they cause, insect distribution and global disease spread. Updated, developed and reworked from Doug Kettle's seminal Medical and Veterinary Entomology, this major new reference presents vital information in encyclopedia format, with alphabetical entries and an extensive index to make key facts easy to find. This new treatment of the subject provides accessible content and up-to-date research, illustrated by line drawings and colour photographs.Table of Contents1: Preface 2: Introduction - Part 1 3: Introduction - Part 2 4: Ants 5: Bed bugs 6: Bees and wasps 7: Beetles 8: Biting midges 9: Black flies 10: Blow flies and Screw-worm flies 11: Butterflies and Moths (caterpillars) 12: Centipedes 13: Cockroaches 14: Eye flies 15: Fleas 16: Flesh flies 17: Horn flies 18: Horse flies 19: House flies and other non-biting (muscid) flies 20: Human bot fly 21: Keds and Louse flies 22: Kissing bugs 23: Lice (chewing) 24: Lice (sucking) 25: Millipedes 26: Mites 27: Mosquitoes 28: Non-biting midges 29: Nasal bot flies 30: Sand flies 31: Scorpions 32: Spiders 33: Stable flies 34: Stomach bot fliesTicks (hard) 35: Ticks (soft) 36: Tsetse flies 37: Tumbu fly 38: Warble flies

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Book SynopsisGenetic epidemiology plays a key role in discovering genetic factors influencing health and disease, and in understanding how genes and environmental risk factors interact. There is growing interest in this field within public health, with the goal of translating the results into promoting health and preventing disease in both families and populations. This textbook provides graduate students with a working knowledge of genetic epidemiology research methods. Following an overview of the field, the book reviews key genetic concepts, provides an update on relevant genomic technology, including genome-wide chips and DNA sequencing, and describes methods for assessing the magnitude of genetic influences on diseases and risk factors. The book focuses on research study designs for discovering disease susceptibility genes, including family-based linkage analysis, candidate gene and genome-side association studies, assessing gene-environment interactions and epistasis, studies of Non-Mendelian inheritance, and statistical analyses of data from these studies. Specific applications of each research method are illustrated using a variety of diseases and risk factors relevant to public health, and useful web-based genetic analysis software, human reference panels, and repositories, that can greatly facilitate this work, are described. Concluding with a review of ethical issues and a framework for translating human genomics research to clinical practice and public health benefit, this textbook is an essential new resource for graduate students in epidemiology and public health genetics.Table of Contentsa: Foreword 1: The Evolving Field of Genetic Epidemiology 2: Assessing Genetic Influences on Diseases and Risk Factors 3: Genetic Concepts and Genomic Technology for Genetic Epidemiology 4: Family Studies in Genetic Epidemiology: From Linkage to Exome Sequencing 5: Genetic Association Studies 6: Population Stratification in Genetic Association Studies 7: Gene–Environment Interactions and Epistasis 8: Non-Mendelian Genetics 9: Software and Data Resources for Genetic Epidemiology Studies 10: Ethical Issues in Genetic Epidemiology 11: Public Health and Clinical Applications of Genetic Epidemiology

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Book SynopsisDiseases have had more influence on us than we realize. They have taken a major role in making us humans and probably determine the way we run our lives. They emerged with us from our ancestral home in Africa, to spread to the rest of the planet. History is full of the great epidemics of plague, smallpox and anthrax, with the present catastrophe of HIV that is changing the demography of the world in a similar way to its predecessors. We survived because of our genetic variation and immune system and it will be this that will save us again. So fundamental has been the part that disease has played in the world that it has brought about change, just as much as has natural selection. Actually disease has been another force, sometimes acting with natural selection but often in opposition. It continues to have a far more profound effect on all of us than realized, selecting the course of the world just as much as nature has.Table of Contentsa: Introduction 1: The Sexual Revolution 2: Out of Africa 3: Host/parasite Interaction 4: Using a Vector 5: The Great Plagues 6: Missionaries of Death 7: The Slave Trade in Parasites 8: Eden's Garden of South America 9: A Glass of Water 10: The Great War 11: Man's Best Friend? 12: The Animal Connection 13: Not Clean 14: Too Clean 15: The Food we Eat 16: Cancer 17: Climate Change and Population Movements 18: Disappeared and Emergent Diseases 19: The Future 20: Conclusions

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Book SynopsisThe health and economic devastation caused by COVID-19 has revealed that most countries’ national health systems are inadequate to cope with pandemics. These are global challenges that call for global responses. At the heart of this book is a bold new proposal to create a global pandemic playbook that can be quickly deployed when the next pandemic strikes. Countries and their experts must collaborate to create early warning systems, preparedness, prevention, responses and containment. But who should pay the cost? Anne Kabagambe, a former Executive Board director for the World Bank Group, explores the options, and argues that to fail to learn from COVID-19 and neglect to create a global playbook now would cost far more when the next pandemic strikes.

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Book Synopsis

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Book SynopsisStatistics are a vital skill for epidemiologists and form an essential part of clinical medicine and public health. This textbook introduces students to statistical epidemiology methods in a carefully structured and accessible format. With clearly defined learning outcomes, the suggested chapter orders can be tailored to the needs of students at both undergraduate and graduate level from a range of academic backgrounds. The book covers study design, measuring disease, bias, error, analysis and modelling and is illustrated with figures, focus boxes, study questions and examples applicable to everyday clinical problems. Drawing on the authors' extensive teaching experience, the text provides an introduction to core statistical epidemiology that will be a valuable resource for students and lecturers in health and medical sciences and applied statistics, health staff, clinical researchers and data managers.Table of ContentsI: Mathematical and Statistical Symbols II: Preface 1: Foundations of Epidemiology 2: Cause and Effect 3: An Epidemiologist's Toolkit 4: Dealing with the Numbers 5: What can go wrong: Error, Bias and Confounding III: Answers and Feedback

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Book SynopsisStatistics are a vital skill for epidemiologists and form an essential part of clinical medicine and public health. This textbook introduces students to statistical epidemiology methods in a carefully structured and accessible format. With clearly defined learning outcomes, the suggested chapter orders can be tailored to the needs of students at both undergraduate and graduate level from a range of academic backgrounds. The book covers study design, measuring disease, bias, error, analysis and modelling and is illustrated with figures, focus boxes, study questions and examples applicable to everyday clinical problems. Drawing on the authors' extensive teaching experience, the text provides an introduction to core statistical epidemiology that will be a valuable resource for students and lecturers in health and medical sciences and applied statistics, health staff, clinical researchers and data managers.Table of ContentsI: Mathematical and Statistical Symbols II: Preface 1: Foundations of Epidemiology 2: Cause and Effect 3: An Epidemiologist's Toolkit 4: Dealing with the Numbers 5: What can go wrong: Error, Bias and Confounding III: Answers and Feedback

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Book SynopsisPandemic influenza is a re-emerging pathogen with serious public health consequences. The A(H1N1) pandemic in 2009/10 and the continuing threat to humans from avian influenza A(H5N1) and other novel influenza viruses have both underlined the importance of preparedness at local, national and international levels. With a strong emphasis on practicality, this book offers comprehensive coverage of the science and operational application of influenza epidemiology, virology and immunology, vaccinology, pharmaceutical and public health measures, biomathematical modelling, policy issues and ethics involved in preparing for and responding to pandemic influenza. Each chapter raises key questions and answers them in clear and concise sections, detailing relevant modelling studies and further reading. Comprehensively updated to incorporate major lessons from the 2009/10 pandemic, this second edition includes new contributions on surveillance, International Health Regulations, clinical management and local health service responses, illustrated with vibrant international case studies. Written in an easily accessible style by global experts, this is an essential text for students of public health and those involved in local, national and international pandemic preparedness and response.Table of Contentsa: Contributors b: Editor Biographies c: Foreword d: Acknowledgements e: Glossary 1: Epidemiology and clinical features of interpandemic influenza 2: Influenza surveillance and pandemic requirements 3: Basic influenza virology and immunology,br>Influenza in birds and mammals 4: History and epidemiological features of pandemic influenza 5: Epidemiology of pandemic influenza A(H1N1)pdm09 6: Clinical features and treatment of pandemic influenza A(H1N1)pdm09 7: Influenza transmission and infection control issues 8: Pandemic preparedness 9: Emergency preparedness and business continuity planning 10: The role of exercises in pandemic preparedness 11: Local health services responses to the 2009 pandemic 12: Bio-mathematical modelling and pandemic preparedness 13: Pharmaceutical Interventions 14: Pandemic vaccines 15: National and international public health measures 16: Port Health and International Health Regulations 17: Socio-economic impact 18: Ethical issues related to pandemic preparedness and response 19: Pandemic Communication Case Study 1: Mexico Case Study 2: Chile Case Study 3: New Zealand Case Study 4: The former Soviet Union Case Study 5: Africa Case Study 6: Denmark Case Study 7: South East Asia Case Study 8: North America Case Study 9: Saudi Arabia f: Index

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Book SynopsisPandemic influenza is a re-emerging pathogen with serious public health consequences. The A(H1N1) pandemic in 2009/10 and the continuing threat to humans from avian influenza A(H5N1) and other novel influenza viruses have both underlined the importance of preparedness at local, national and international levels. With a strong emphasis on practicality, this book offers comprehensive coverage of the science and operational application of influenza epidemiology, virology and immunology, vaccinology, pharmaceutical and public health measures, biomathematical modelling, policy issues and ethics involved in preparing for and responding to pandemic influenza. Each chapter raises key questions and answers them in clear and concise sections, detailing relevant modelling studies and further reading. Comprehensively updated to incorporate major lessons from the 2009/10 pandemic, this second edition includes new contributions on surveillance, International Health Regulations, clinical management and local health service responses, illustrated with vibrant international case studies. Written in an easily accessible style by global experts, this is an essential text for students of public health and those involved in local, national and international pandemic preparedness and response.Table of Contentsa: Contributors b: Editor Biographies c: Foreword d: Acknowledgements e: Glossary 1: Epidemiology and clinical features of interpandemic influenza 2: Influenza surveillance and pandemic requirements 3: Basic influenza virology and immunology,br>Influenza in birds and mammals 4: History and epidemiological features of pandemic influenza 5: Epidemiology of pandemic influenza A(H1N1)pdm09 6: Clinical features and treatment of pandemic influenza A(H1N1)pdm09 7: Influenza transmission and infection control issues 8: Pandemic preparedness 9: Emergency preparedness and business continuity planning 10: The role of exercises in pandemic preparedness 11: Local health services responses to the 2009 pandemic 12: Bio-mathematical modelling and pandemic preparedness 13: Pharmaceutical Interventions 14: Pandemic vaccines 15: National and international public health measures 16: Port Health and International Health Regulations 17: Socio-economic impact 18: Ethical issues related to pandemic preparedness and response 19: Pandemic Communication Case Study 1: Mexico Case Study 2: Chile Case Study 3: New Zealand Case Study 4: The former Soviet Union Case Study 5: Africa Case Study 6: Denmark Case Study 7: South East Asia Case Study 8: North America Case Study 9: Saudi Arabia f: Index

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Book SynopsisCovering the theory and practice of non-insecticidal control of insect vectors of human disease, this book provides an overview of methods including the use of botanical biocides and insect-derived semiochemicals, with an overall focus on integrated vector management strategies. While the mainstay of malaria control programmes relies on pesticides, there is a resurgence in the research and utilisation of non-insecticidal control measures due to concerns over rapid development and spread of insecticide resistance, and long-term environmental impacts. This book provides examples of successful applications in the field and recommendations for future use.Table of Contents1: Introduction 2: Control with Arthropods 3: Use of Larvivorous Fish in Biological and Environmental Control of Disease Vectors 4: The Use of Plants in Vector Control 5: Control of Disease Vectors using Fungi 6: Vector Control using Semiochemicals 7: House Screening 8: Sanitation and Vector Control 9: Water Management for Disease Vector Control 10: Integrated Vector Management 11: Evidence Required for Adoption of New Vector Control Methods in Public Health

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Book SynopsisHealth systems everywhere are experiencing rapid change in response to new threats to health, including from lifestyle diseases, risks of pandemic flu, and the global effects of climate change but health inequalities continue to widen. Such developments have profound implications for the future direction of public health policy and practice. The public health system in England offers a wide-ranging, provocative and accessible assessment of challenges confronting a public health system, exploring how its parameters have shifted and what the origins of dilemmas in public health practice are. The book will therefore appeal to public health professionals and students of health policy, potentially engaging them in political and social advocacy. Trade Review"...I have found this to be an enjoyable, informative and thought provoking read that I recommend to anyone for an introduction to the English public health system and how it has developed since 1974." David Edwards in Public Health Today"An important new review of an old and intractable problem: our health system is incapable of keeping people healthy. This trenchant analysis must help to kick-start a radical shift in policy and practice." Anna Coote, New Economics FoundationTable of ContentsIntroduction; Public health and a public health system; The evolution of the public health function in England (1) 1974-97; The evolution of the public health function in England (2) 1997-2009; Current issues in the public health system in England; Looking to the future.

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Book SynopsisHealth systems everywhere are experiencing rapid change in response to new threats to health, including from lifestyle diseases, risks of pandemic flu, and the global effects of climate change but health inequalities continue to widen. Such developments have profound implications for the future direction of public health policy and practice. The public health system in England offers a wide-ranging, provocative and accessible assessment of challenges confronting a public health system, exploring how its parameters have shifted and what the origins of dilemmas in public health practice are. The book will therefore appeal to public health professionals and students of health policy, potentially engaging them in political and social advocacy. Trade Review"...I have found this to be an enjoyable, informative and thought provoking read that I recommend to anyone for an introduction to the English public health system and how it has developed since 1974." David Edwards in Public Health Today"An important new review of an old and intractable problem: our health system is incapable of keeping people healthy. This trenchant analysis must help to kick-start a radical shift in policy and practice." Anna Coote, New Economics FoundationTable of ContentsIntroduction; Public health and a public health system; The evolution of the public health function in England (1) 1974-97; The evolution of the public health function in England (2) 1997-2009; Current issues in the public health system in England; Looking to the future.

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Book SynopsisThe UK has a deservedly strong reputation for work on understanding social inequalities in health, but there is some way to go in using research and other types of knowledge to reduce inequalities in child health. This revised and updated edition of an important report looks at macro public policy interventions, community interventions, and individual level interventions in a variety of settings, including infancy, early years, childhood, adolescence, and particular needs including looked after children. It considers 'what works' - or might work - in practice. There are new case studies, updated research references, and new reference to cost effectiveness - all relevant for doing the right thing in a climate of austerity. Drawing on evidence from the UK and beyond, the book presents these in an accessible form, not just for those who make decisions now, but also for the students of today who are the decision makers of tomorrow. The book is supported by a companion website, containing additional materials for both students and lecturers, which is available from the link above.Trade Review"This book is a compelling comprehensive read, providing context and solutions to child health inequalities based on evidence and rights, engendering hope for long term systemic changes and child health improvements." Elizabeth Waters, The Jack Brockhoff Child Health and Wellbeing Program and The McCaughey Centre, University of Melbourne, Australia"Highly accessible. This book should be required reading for public health students and it would be a good addition to many social policy reading lists." Critical Public Health journal"A timely text that pulls together the core issues relevant to those wishing to reduce inequalities in child health" Helen Farasat, Bournemouth University"This wonderful book tells us we know a lot about inequalities in children's health but less about what to do. It presents information and ideas to help make these decisions." Terence Stephenson, President, Royal College of Paediatrics and Child Health"This superbly crafted book is essential reading for all those wishing to right some serious wrongs in our society. Roberts puts the evidence and the power in our hands. " Penny Hawe, Population Health Intervention Research Centre, University of Calgary, CanadaTable of ContentsIntroduction: Inequalities and health; What are the causes of ill health and inequalities in health?; What do health inequalities mean for children?; Why do inequalities matter?; Poverty, inequality and the NHS; Death and disease in childhood; Policy reports and the importance of prevention; What works?; Research, policy and practice; And when there is no evidence?: What kinds of studies help us understand what works?: The challenge of evaluation at a local level; Does it work? How can we design and deliver effective services?; Systematic reviews; The contribution of different research designs; An assets-based approach drawing on lay and scientific evidence; What doesn't work?; Making it work: What works in early life? Infancy and the pre-school period: Death in and before the first year; What works in making a difference?; Cost-effectiveness and early intervention; An intervention not to be tried at home; What works in childhood and adolescence?: What are the problems?; What are some of the solutions?; Education; Disabled children and their families; Adolescence; Teenage pregnancy; Young smokers; Mental health and substance abuse; Tackling obesity in children and young people; What may not help; What works in keeping children safe?: What doesn't work?; What works in making a difference?; Drawing on children and parents' safe-keeping strategies - or what are people doing right?; Child safety and local authorities which consult parents and children; Child protection (non-accidental injury): What works for vulnerable groups?: Background; General health and immunisation; Mental health and emotional well-being; Education; Settled safe accommodation; What helps?; Tackling the causes of the causes; Inequalities in child health; Context; Policies for directly addressing inequalities in child health; Policy implications of health inequalities research: dilemmas of advocacy; And finally.

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Book SynopsisThe family of statistical models known as Rasch models started with a simple model for responses to questions in educational tests presented together with a number of related models that the Danish mathematician Georg Rasch referred to as models for measurement. Since the beginning of the 1950s the use of Rasch models has grown and has spread from education to the measurement of health status. This book contains a comprehensive overview of the statistical theory of Rasch models. Part 1 contains the probabilistic definition of Rasch models, Part 2 describes the estimation of item and person parameters, Part 3 concerns the assessment of the data-model fit of Rasch models, Part 4 contains applications of Rasch models, Part 5 discusses how to develop health-related instruments for Rasch models, and Part 6 describes how to perform Rasch analysis and document results.Trade Review"This book contains a comprehensive overview of the statistical theory of Rasch models." (Zentralblatt MATH 2016)Table of ContentsI Probabilistic models 1 1 The Rasch model for dichotomous items 3 1.1 Introduction 4 1.1.1 original formulation of the model 4 1.1.2 Modern formulations of the model 7 1.2 Psychometric properties 8 1.2.1 Requirements of IRT models 9 1.2.2 Item Characteristic Curves 10 1.2.3 Guttman errors 10 1.2.4 Implicit assumptions 11 1.3 Statistical properties 11 1.3.1 The distribution of the total score 12 1.3.2 Symmetrical polynomials 13 1.3.3 Test characteristic curve (TCC) 14 1.3.4 Partial credit model parametrization of the score distribution 14 1.3.5 Rasch models for subscores 15 1.4 Inference frames 15 1.5 Specic objectivity 18 1.6 Rasch models as graphical models 19 1.7 Summary 20 2 Rasch models for ordered polytomous items 25 2.1 Introduction 26 2.1.1 Example 26 2.1.2 Ordered categories 26 2.1.3 Properties of the Polytomous Rasch model 30 2.1.4 Assumptions 32 2.2 Derivation from the dichotomous model 32 2.3 Distributions derived from Rasch models 37 2.3.1 The score distribution 37 2.3.2 Interpretation of thresholds in partial credit items and Rasch scores 39 2.3.3 Conditional distribution of item responses given the total score 39 2.4 Conclusion 39 2.4.1 Frames of inference for Rasch models 40 II Inference in the Rasch model 45 3 Estimation of item parameters 47 3.1 Introduction 48 3.2 Estimation of item parameters 50 3.2.1 Estimation using the conditional likelihood function 50 3.2.2 Pairwise conditional estimation 52 3.2.3 Marginal likelihood function 54 3.2.4 Extended likelihood function 55 3.2.5 Reduced rank parametrization 56 3.2.6 Parameter estimation in more general Rasch models 56 4 Person parameter estimation and measurement in Rasch models 59 4.1 Introduction and notation 60 4.2 Maximum likelihood estimation of person parameters 61 4.3 Item and test information functions 62 4.4 Weighted likelihood estimation of person parameters 63 4.5 Example 63 4.6 Measurement quality 65 4.6.1 Reliability in classical test theory 66 4.6.2 Reliability in Rasch models 67 4.6.3 Expected measurement precision 69 4.6.4 Targeting 69 III Checking the Rasch model 75 5 Itemt statistics 77 5.1 Introduction 78 5.2 Rasch model residuals 79 5.2.1 Notation 79 5.2.2 Individual response residuals: outts and ints 80 5.2.3 Group residuals 85 5.2.4 Group residuals for analysis of homogeneity 85 5.3 Molenaar's U 87 5.4 Analysis of item { restscore association 88 5.5 Group residuals and analysis of DIF 89 5.6 Kelderman's conditional likelihood ratio test of no DIF 90 5.7 Test for conditional independence in three-way tables 92 5.8 Discussion and recommendations 93 5.8.1 Technical issues 93 5.8.2 What to do when items do not agree with the Rasch model 95 6 Over-all tests of the Rasch model 99 6.1 Introduction 100 6.2 The conditional likelihood ratio test 100 6.3 Example: Diabetes and Eating habits 102 6.4 Other over-all tests of t 104 7 Local dependence 107 7.1 Introduction 108 7.1.1 Reduced rank parametrization model for sub tests 108 7.1.2 Reliability indexes 109 7.2 Local dependence in Rasch Models 109 7.2.1 Response dependence 110 7.3 E ects of response dependence on measurement 111 7.4 Diagnosing and detecting response dependence 114 7.4.1 Item t 114 7.4.2 Item residual correlations 116 7.4.3 Sub tests and reliability 118 7.4.4 Estimating the magnitude of response dependence 118 7.4.5 Illustration 119 7.5 Summary 124 8 Two tests of local independence 131 8.1 Introduction 132 8.2 Kelderman's conditional likelihood ratio test of local independence 132 8.3 Simple conditional independence tests 134 8.4 Discussion and recommendations 136 9 Dimensionality 139 9.1 Introduction 140 9.1.1 Background 140 9.1.2 Multidimensionality in health outcome scales 141 9.1.3 Consequences of multidimensionality 142 9.1.4 Motivating example: the HADS data 142 9.2 Multidimensional models 143 9.2.1 Marginal likelihood function 144 9.2.2 Conditional likelihood function 144 9.3 Diagnostics for detection of multidimensionality 144 9.3.1 Analysis of residuals 145 9.3.2 Observed and expected counts 145 9.3.3 Observed and expected correlations 147 9.3.4 The t-test approach 148 9.3.5 Using reliability estimates as diagnostics of multidimensionality 149 9.3.6 Tests of unidimensionality 150 9.4 Estimating the magnitude of multidimensionality 152 9.5 Implementation 153 9.6 Summary 153 IV Applying the Rasch model 161 10 The polytomous Rasch model and the equating of two instruments163 10.1 Introduction 164 10.2 The polytomous Rasch model 165 10.2.1 Conditional probabilities 166 10.2.2 Conditional estimates of the instrument parameters 167 10.2.3 An illustrative small example 169 10.3 Reparametrization of the thresholds 170 10.3.1 Thresholds reparametrized to two parameters for each instrument170 10.3.2 Thresholds reparametrized with more than two parameters 174 10.3.3 A reparametrization with four parameters 174 10.4 Tests of Fit 176 10.4.1 The conditional test of fit based on cell frequencies 176 10.4.2 The conditional test of fit based on class intervals 177 10.4.3 Graphical test of fit based on total scores 178 10.4.4 Graphical test of fit based on person estimates 179 10.5 Equating procedures 179 10.5.1 Equating using conditioning on total scores 180 10.5.2 Equating through person estimates 180 10.6 Example 180 10.6.1 Person threshold distribution 182 10.6.2 The test of t between the data and the model 182 10.6.3 Further analysis with the parametrization with two moments for each instrument 184 10.6.4 Equated scores based on the parametrization with two moments of the thresholds 190 10.7 Discussion 194 11 A multidimensional latent class Rasch model for the assessment of the Health-related Quality of Life 199 11.1 Introduction 200 11.2 The dataset 202 11.3 The multidimensional latent class Rasch model 205 11.3.1 Model assumptions 205 11.3.2 Maximum likelihood estimation and model selection 208 11.3.3 Software details 209 11.3.4 Concluding remarks about the model 210 11.4 Inference on the correlation between latent traits 211 11.5 Application results 214 12 Analysis of Rater Agreement by Rasch and IRT models 223 12.1 Introduction 224 12.2 An IRT model for modelling inter-rater agreement 224 12.3 Umbilical artery Doppler velocimetry and perinatal mortality 226 12.4 Quantifying the rater agreement in the Rasch model 227 12.4.1 Fixed Effects Approach 227 12.4.2 Random Effects approach and the median odds ratio 229 12.5 Doppler velocimetry and perinatal mortality 231 12.6 Quantifying the rater agreement in the IRT model 232 12.7 Discussion 233 13 From Measurement to Analysis: two steps or latent regression? 241 13.1 Introduction 242 13.2 Likelihood 243 13.2.1 Two-step model 244 13.2.2 Latent regression model 244 13.3 First step: Measurement models 245 13.4 Statistical Validation of Measurement Instrument 248 13.5 Construction of Scores 251 13.6 Two-step method to Analyze Change between Groups 253 13.6.1 Health related Quality of Life and Housing in Europe 253 13.6.2 Use of Surrogate in an Clinical Oncology trial 254 13.7 Latent Regression to Analyze Change between Groups 257 13.8 Conclusion 259 14 Analysis with repeatedly measured binary item response data byad hoc Rasch scales 265 14.1 Introduction 266 14.2 The generalized multilevel Rasch model 268 14.2.1 The multilevel form of the conventional Rasch model for binary items 268 14.2.2 Group comparison and repeated measurement 269 14.2.3 Differential item functioning and local dependence 270 14.3 The analysis of an ad hoc scale 272 14.4 Simulation study 277 14.5 Discussion 283 V Creating, translating, improving Rasch scales 287 15 Writing Health-Related Items for Rasch Models - Patient Reported Outcome Scales for Health Sciences: From Medical Paternalism to Patient Autonomy 289 15.1 Introduction 290 15.1.1 The emergence of the biopsychosocial model of illness 290 15.1.2 Changes in the consultation process in general medicine 291 15.2 The use of patient reported outcome questionnaires 292 15.2.1 Defining PRO constructs 293 15.2.2 Quality requirements for PRO questionnaires 298 15.3 Writing new Health-Related Items for new PRO scales 301 15.3.1 Consideration of measurement issues 302 15.3.2 Questionnaire Development 302 15.4 Selecting PROs for a clinical setting 305 15.5 Conclusions 305 16 Adapting patient-reported outcome measures for use in new lan- guages and cultures 313 16.1 Introduction 314 16.1.1 Background 314 16.1.2 Aim of the adaptation process 315 16.2 Suitability for adaptation 315 16.3 Translation Process 315 16.3.1 Linguistic Issues 316 16.3.2 Conceptual Issues 316 16.3.3 Technical Issues 316 16.4 Translation Methodology 317 16.4.1 Forward-backward translation 317 16.5 Dual-Panel translation 318 16.6 Assessment of psychometric and scaling properties 320 16.6.1 Cognitive debriefing interviews 320 16.6.2 Determining the psychometric properties of the new language version of the measure 322 16.6.3 Practice Guidelines 323 17 Improving items that do not fit the Rasch model 329 17.1 Introduction 330 17.2 The Rasch model and the graphical log linear Rasch model 330 17.3 The scale improvement strategy 332 17.3.1 Choice of modificational action 335 17.3.2 Result of applying the scale improvement strategy 339 17.4 Application of the strategy to the Physical Functioning Scale of the SF-36 340 17.4.1 Results of the GLLRM 340 17.4.2 Results of the subject matter analysis 341 17.4.3 Suggestions according to the strategy 342 17.5 Closing remark 345 VI Analyzing and reporting Rasch models 349 18 Software and program for Rasch Analysis 351 18.1 Introduction 352 18.2 Stand alone softwares packages 352 18.2.1 WINSTEPS 352 18.2.2 RUMM 353 18.2.3 Conquest 353 18.2.4 DIGRAM 354 18.3 Implementations in standard software 355 18.3.1 SAS macro for MML estimation: %ANAQOL 355 18.3.2 SAS Macros based on CML 356 18.3.3 eRm : an R Package 356 18.4 Fitting the Rasch model in SAS 356 18.4.1 Simulation of Rasch dichotomous items 356 18.4.2 MML Estimation of Rasch parameters using Proc NLMIXED 357 18.4.3 MML Estimation of Rasch parameters using Proc GLIMMIX 358 18.4.4 CML Estimation of Rasch parameters using Proc GENMOD 358 18.4.5 JML Estimation of Rasch parameters using Proc LOGISTIC 359 18.4.6 Loglinear Rasch model Estimation of Rasch parameters using Proc Logistic 360 18.4.7 Results 360 19 Reporting a Rasch analysis 363 19.1 Introduction 364 19.1.1 Objectives 364 19.1.2 Factors impacting a Rasch analysis report 364 19.1.3 The role of the substantive theory of the latent variable 366 19.1.4 The frame of reference 367 19.2 Suggested Elements 367 19.2.1 Construct: definition and operationalisation of the latent variable367 19.2.2 Response format and scoring 368 19.2.3 Sample and sampling design 368 19.2.4 Data 369 19.2.5 Measurement model and technical aspects 370 19.2.6 Fit analysis 370 19.2.7 Response scale suitability 371 19.2.8 Item fit assessment 372 19.2.9 Person fit assessment 372 19.2.10 Information 373 19.2.11Validated scale 374 19.2.12 Application and usefulness 375 19.2.13Further issues 376

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Book SynopsisThis volume focuses on the contributions that social scientists can make to understanding emerging epidemics, their impact, the threats they pose, and their social and political contexts. While many of the international articles focus on infectious disease, some discussion is given to treating psychiatric epidemics and the analysis of the political and cultural meanings that epidemics have. A sociological volume on emerging epidemics, covering psychiatric or psychological diseases as well as infectious disease is long overdue and topics included here are as wide ranging as: bipolar disorder; obesity; malaria; HIV/AIDS; SARS; West Nile Virus; pandemic influenzas; deviance; depression; ADHD; Alzheimer's; and autism. This valuable reference tool empirically examines emerging epidemics themselves and offers a theoretical analysis of the use of epidemics and epidemiology as frameworks for understanding these phenomena. It will appeal to a broad audience of readers of researchers and practitioners in this field, ranging from those involved in public health policy, human security and community health to medical sociologists and other scientists working in health and medicine.Table of ContentsList of Contributors. Acknowledgments. Introduction. Capitalism is making us sick: poverty, illness and the SARS crisis in Toronto. False perceptions and falciparum. Policy, polity, and the HIV crisis in emerging economies: India and Russia compared. The concept of emerging infectious disease revisited. Sounding a public health alarm: producing West Nile virus as a newly emerging infectious disease epidemic. Emerging and concentrated HIV/AIDS epidemics and windows of opportunity: prevention and policy pitfalls. The social politics of pandemic influenzas: the question of (permeable) international, inter-species, and interpersonal boundaries. The poetics of American circumcision on the margins of medical necessity. Of rebels, conformists, and innovators: applying Merton's typology to explore an effective home care policy for the emerging Alzheimer's epidemic. ‘Promoted by Hong Tao, the Chlamydia Hypothesis Had Become Well Established...': Understanding the 2003 Severe Acute Respiratory Syndrome (SARS) Epedemic - But Which One?. The rhetoric of science and statistics in claims of an autism epidemic. Bipolar disorder and the medicalization of mood: an epidemics of diagnosis?. What epidemic? The social construction of bipolar epidemics. The depression epidemic: how shifting definitions and industry practices shape perceptions of depression prevalence in the United States. Biomedicalizing mental illness: The case of attention deficit disorder. Contagious youth: deviance and the management of youth sociality. A social change model of the obesity epidemic. Who says obesity is an epidemic? How excess weight became an American health crisis. “Who are you calling ‘fat’?”: the social construction of the obesity epidemic. Advances in medical sociology. Understanding Emerging Epidemics: Social and Political Approaches. Copyright page.

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Book SynopsisThe lifecourse perspective on adult health and on health inequalities in particular, is one of the most important recent developments in epidemiology and public health. This book brings together, in a single volume, the work of one of the most distinguished academics in the field. It is the first to specifically take a lifecourse approach to health inequalities and will be essential reading for academics, students and policy makers with an interest in public health, epidemiology, health promotion and social policy.Trade Review"... a fascinating volume: provocative and challenging, often humorous but never dull." Health Service Journal"For anyone who teaches, writes or even has only a passing interest in the field of health inequalities this volume would definitely be value for money and a useful resource to have at hand. The readability of the papers will also lead to use by both undergraduate and graduate students alike." Health Economics"This book will become a classic for those interested in health inequalities." Jenny Roberts, London School of Hygiene and Tropical Medicine"This book provides the epidemiological background for a new and important way of thinking about how and when we intervene to reduce health inequalities. Professor Davey Smith's research on the life course and health is truly innovative and unique. Many academics from diverse disciplines will want this as part of their permanent libraries." John Lynch, School of Public Health, University of Michigan"This book provides the epidemiological background for a new and important way of thinking about how and when we intervene to reduce health inequalities. Professor Davey Smith's research on the life course and health is truly innovative and unique. Many academics from diverse disciplines will want this as part of their permanent libraries." John Lynch, School of Public Health, University of MichiganTable of ContentsSection I: Patterns of health inequality; Health inequalities in Britain: continuing increases up to the end of the 20th century ~ Davey Smith, Dorling, Mitchell and Shaw, 2002; Shrinking areas and mortality ~ Davey Smith, Dorling and Shaw, 1998; Population change and mortality in men and women ~ Davey Smith, Shaw and Dorling, 2001; Area-based measures of social and economic circumstances: cause-specific mortality patterns depend on the choice of index ~ Davey Smith, Whitley, Dorling and Gunnell, 2001; Socioeconomic differentials in mortality risk among men screened for the Multiple Risk Factor Intervention Trial: Part I - results for 300,685 white men ~ Davey Smith, Wentworth, Neaton, Stamler and Stamler, 1996; Socioeconomic differentials in mortality risk among men screened for the Multiple Risk Factor Intervention Trial: Part II - results for 20,224 black men ~ Davey Smith, Neaton, Wentworth, Stamler and Stamler, 1996; Individual social class, area-based deprivation, cardiovascular disease risk-factors and mortality: the Renfrew and Paisley study ~ Davey Smith, Hart, Watt, Hole and Hawthorne, 1998; Is control at work the key to socioeconomic gradients in mortality? ~ Davey Smith and Harding, 1997; Section II: Voting and mortality; "I'm all right John": voting patterns and mortality in England and Wales, 1981-92 ~ Davey Smith and Dorling, 1996; Association between voting patterns and mortality remains ~ Davey Smith and Dorling, 1997; Analysis of trends in premature mortality by Labour voting in the 1997 General Election ~ Dorling, Davey Smith and Shaw, 2001; Section III: The Whitehall Study; Magnitude and causes of socioeconomic differentials in mortality: further evidence from the Whitehall Study ~ Davey Smith, Shipley and Rose, 1990; Confounding of occupation and smoking: its magnitude and consequences ~ Davey Smith and Shipley, 1991; Socioeconomic differentials in cancer among men ~ Davey Smith, Leon, Shipley and Rose, 1991; Section IV: Health and lifetime social circumstances: the Collaborative Study; Lifetime socioeconomic position and mortality: prospective observational study ~ Davey Smith, Hart, Blane, Gillis and Hawthorne, 1997; Education and occupational social class: which is the more important indicator of mortality risk? ~ Davey Smith, Hart, Hole, MacKinnon, Gillis, Watt, Blane and Hawthorne, 1998; Adverse socioeconomic conditions in childhood and cause-specific adult mortality: prospective observational study ~ Davey Smith, Hart, Blane and Hole, 1998; Socioeconomic factors as determinants of mortality ~ Davey Smith and Hart, 1998; Lifecourse socioeconomic and behavioural influences on cardiovascular disease: the Collaborative Study; ~ Davey Smith and Hart, 2002; Section V: Further lifecourse influences on health; Social circumstances in childhood and cardiovascular disease mortality: prospective observational study of Glasgow University students ~ Davey Smith, McCarron, Okasha and McEwen, 2001; Childhood socioeconomic position and adult cardiovascular mortality: the Boyd Orr cohort ~ Frankel, Davey Smith and Gunnell, 1999; Height and risk of death among men and women: aetiological implications of associations with cardiorespiratory disease and cancer mortality ~ Davey Smith, Hart, Upton, Hole, Gillis, Watt and Hawthorne, 2000; Leg length, insulin resistance, and coronary heart disease risk: the Caerphilly Study ~ Davey Smith, Greenwood, Gunnell, Sweetnam, Yarnell and Elwood, 2001; Section VI: Ethnicity and health inequalities; Ethnic inequalities in health: a review of UK epidemiological evidence ~ Davey Smith, Chaturvedi, Harding, Nazroo and Williams, 2000; Learning to live with complexity: ethnicity, socioeconomic position, and health in Britain and the US ~ Davey Smith, 2000; Mortality differentials between black and white men in the US: contribution of income and other risk factors among men screened for the Multiple Risk Factor Intervention Trial (MRFIT) ~ Davey Smith, Neaton, Wentworth, Stamler and Stamler, 1998; Section VII: Diversions; Socioeconomic differentials in the mortality of pets: probably reflect the same differences in material circumstances as in their owners ~ Davey Smith and Bonnett, 1998; Death in Hollywood: life-style excess, social comparisons or publication bias? ~ Davey Smith, 2001; Sex and death: are they related? Findings from the Caerphilly Cohort Study ~ Davey Smith, Frankel and Yarnell, 1997; Health, health services and health politics in Britain: 1952-2002-2052 ~ Davey Smith, 2002; Section VIII: Health inequalities - past and present; Socioeconomic differentials in mortality: evidence from Glasgow graveyards ~ Davey Smith, Carroll, Rankin and Rowan, 1992; The ghost of Christmas past: the health effects of poverty in London in 1896 and 1991 ~ Dorling, Mitchell, Shaw, Orford and Davey Smith, 2000; Does early nutrition affect later health? Views from the 1930s and 1980s ~ Davey Smith and Kuh, 1996; Section IX: Social inequality and population health; Income inequality and mortality: why are they related? ~ Davey Smith, 1996; Understanding it all: health, meta-theories, and mortality trends; ~ Davey Smith and Egger, 1996; Section X: Reducing health inequalities, now and in the future; The widening health gap: what are the solutions? ~ Davey Smith, Dorling, Gordon and Shaw, 1999; Inequalities in health: what is happening and what can be done? ~ Davey Smith and Ben-Shlomo, 1997; How policy informs the evidence - 'evidence-based' thinking can lead to debased policy making ~ Davey Smith, Ebrahim and Frankel, 2001; Rationing for health equity: is it necessary? ~ Davey Smith, Frankel and Ebrahim, 2000; Afterword: Still wanting to be James Dean ~ George Davey Smith.

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Book SynopsisRichard Titmuss was one of the 20th century's foremost social policy theorists. This accessible Reader is the first compendium of his work on public health, health promotion and health inequalities. Most of Titmuss's work has been out of print for many years. This volume, like its predecessor, Welfare and wellbeing (The Policy Press, 2001), is important in bringing the work of this highly influential thinker to the attention of a new generation of social policy students and policy makers. It also enhances current debates about how complex societies can best provide for the health of all their citizens.Trade Review"... extremely well put together. The contributor commentaries provide a contemporary perspective and the extensive cross-referencing helps the reader to locate specific information. In consequence, the book is both thoughtful and thought provoking." Journal of Social Policy"With the NHS undergoing the most fundamental change in its 56 year history, this book is a timely reminder of important policy dilemmas that we ignore at our peril. This collection of Titmuss's writings brings together remarkably prescient commentaries on aspects of health, health care, and the NHS." British Medical Journal"The selection of Titmuss's writings in the book under review demonstrate the range, scope and depth of his work on the organization and delivery of health care, and the humane spirit in which he writes. ... They show his ability to identify issues which still have much resonance and relevance today: notably inequalities in health." Health Economics, Policy and Law "Those who plan more 'modernisation' would do well to read and heed Titmuss's wise counsel. The implications for the medical care of older people are only too clear from the picture he paints. So too would many current academics, practitioners and students profit from reading this splendid book." Ageing & Society"It is important that students have access to the original writing of the 'greats' in social policy. This book, combining Titmuss's essays with contemporary commentaries by eminent academics, is an excellent example of how best to do this." Martin Powell, Department of Social and Policy Sciences, University of BathTable of ContentsIntroduction Ann Oakley and Jonathan Barker; Prologue: The experience of being a patient; PART One: Social medicine and social inequality Commentaries by Mike Wadsworth and Jerry Morris; Infant mortality; The social disease of juvenile rheumatism; Health and social change: the example of rheumatic heart disease; War and disease; PART Two: On the National Health Service Commentary by John Ashton; Towards a national hospital service; The policy background; The structure of the NHS in England; The NHS and general practice; The ethics and economics of medical care; PART Three: The sociology of health care Commentary by ????; Medical behaviour, science and the NHS; The hospital and its patients; 'Therapeutic' drugs; Planning for ageing and the health and welfare services; PART Four: Health, values and social policy Commentary by Julian Le Grand; Choice and the welfare state; The gift of blood; Doctors and 'socialised medicine'; Medical ethics and social change in developing societies; Health and the welfare state. Postscript: Richard Titmuss's contribution to the sociology of health and illness Raymond Illsley.

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Book SynopsisForeword by Lisa Berkman, Professor of Public Policy, Harvard University How welfare states influence population health and health inequalities has long been debated but less well tested by empirical research. This book presents new empirical evidence of the effects of Swedish welfare state structures and policies on the lives of Swedish citizens. The discussion, analysis and innovative theoretical approaches developed in the book have implications for health research and policy beyond Scandinavian borders. Drawing on a rich source of longitudinal data, the Swedish Level of Living Surveys (LNU), and other data, the authors shed light on a number of pertinent issues in health inequality research while at the same time showing how health inequalities have evolved in Sweden over several decades. Topics covered include how structural conditions relating to family, socio-economic conditions and the welfare state are important in producing health inequalities; how health inequalities change over the lifecourse and the impact of environment on health inequalities - at home, at school, in the workplace. Health inequalities and welfare resources will be invaluable to researchers, students and practitioners in sociology, social epidemiology, public health and social policy interested in the interplay between society and health.Trade Review"These complex findings and issues are clearly presented and discussed, and we learn much about the social determinants of health and levels of health inequalities in Sweden. ... there are rich pickings, plenty of food for thought and a lot to digest in this book; as a comprehensive and very capable investigation of the social determinants of health in Sweden it makes an important contribution to health inequalities research." International Journal of EpidemiologyTable of ContentsHealth, inequalities, welfare and resources ~ Johan Fritzell and Olle Lundberg; Health and inequalities in Sweden: long and short-term perspectives ~ Johan Fritzell, Carin Lennartsson and Olle Lundberg; Changing gender differences in musculoskeletal pain and psychological distress ~ Örjan Hemström, Gunilla Krantz and Eva Roos; Life course inequalities: generations and social class ~ Johan Fritzell; Work stress and health: is the association moderated by sense of coherence? ~ Susanna Toivanen; Psychosocial work environment and stress-related health complaints: an analysis of children's and adolescents' situation in school ~ Bitte Modin and Viveca Östberg; Assessing the contribution of relative deprivation to income differences in health ~ Monica Åberg Yngwe and Olle Lundberg; Social capital and health in the Swedish welfare state ~ Mikael Rostila; 'What's marital status got to do with it?': gender inequalities in economic resources, health and functional abilities among older adults ~ Carin Lennartsson and Olle Lundberg; Health inequalities and welfare resources: findings and forecasts ~ Johan Fritzell, Carin Lennartsson and Olle Lundberg.

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Book SynopsisThis Handbook is the definitive resource for anyone wishing to quickly look up and understand key concepts and measurements relating to socioeconomic position and inequalities. A range of key concepts is defined and measures of socioeconomic position and inequality described. Alphabetical listings, cross-referencing, graphs and worked examples, references to web and other sources of further information, all contribute to making the Handbook both engaging and accessible for a wide audience. For students, academics and others involved in social science research it answers questions such as: · 'What's the official government measure of poverty?' · 'What factors make up the Townsend Index of Deprivation?' · 'What is a gini coefficient?' · 'I have to write a report on tackling inequalities in my area - what are the key issues I should consider before I begin?' For practitioners, policy makers, journalists and others who must read, understand and use research in fields as diverse as health, criminology, education, the environment, transport and housing it provides a one-stop, authoritative guide to making sense of and evaluating the significance of often complex methodologies. The authors are all eminent researchers in the field of health inequalities. They have together produced two glossaries for the Journal of Epidemiology and Community Health and have published a large number of books and articles in learned academic journals.Trade Review"For those wanting an accurate but handy handbook for quickly understanding core issues and getting on with analyses or action, this new text will be of great use." J. Michael Oakes, International Journal of Epidemiology"It would be impossible to find a better overview in one volume...this handbook deserves a place in every pocket, briefcase and department wherever there is a need to complement passion and persuasion with method and measurement" David Pencheon, Director, Eastern Region Public Health ObservatoryTable of ContentsIntroduction; Part one: Key concepts: Deprivation; Ethnicity; Health equity audits/profiles; Inequality/equality; Inequity/equity; Lay epidemiology; Life course socioeconomic position; Living standards; Official/vital statistics; Poverty; Psychosocial factors; Segregation; Social capital; Social class; Social exclusion; Social mobility; Social status; Social stratification; Status inconsistency; Wealth; Part two: Measures of socioeconomic position: Amenities; Benefit claimants; Breadline Britain and the Millennium Survey of Poverty and Social Exclusion; Cambridge Scale; Car access and ownership; Carstairs deprivation index; Child poverty: the official government measure; Deprivation indices; Education; Erikson and Goldthorpe class schema; Fuel poverty; Housing conditions; Housing status (including homelessness); Housing tenure; Housing wealth; Income; Index of local conditions; Index of local deprivation (1998); Indices of deprivation (2000); Indices of deprivation (2004); Jarman UPA index; Job (in)security; National Statistics Socioeconomic Classification (NS-SEC); Northern Ireland Multiple Deprivation Measure; Occupation-based measures; Occupational Social Class - RGSC; Overcrowding; Poverty: the official government measure; Scottish Index of Multiple Deprivation 2004; Townsend Index of deprivation; Unemployment; Welsh Index of Multiple Deprivation; Part three: Measures of inequality: Absolute differences; Dissimilarity Index; Gini coefficient; Households below average income; Index of disparity; Measures of average disproportionality; Range; Relative concentration index; Relative index of inequality; Slope index of inequality; Standardised outcomes; Theil Index and Mean Log Deviation; Part four: Theoretical and methodological issues: Age-period cohort effects; Atomistic fallacy; Bar charts; Box and Whisker graphs; Cartogram; Choropleth map; Correlation coefficients; Ecological fallacy; Funnel plots; GIS; Incidence; Line graphs; Percentages; Populations; Prevalence; Proportional Mortality Ratio; Proportions; Scatterplots.

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Book SynopsisThis impressive full-colour atlas, with over 100 colour-coded and accessible maps, uniquely presents the geography of death in Britain. The first atlas published on this subject for over two decades, this book presents data from more than 14 million deaths over a 24-year period in Britain. The maps detail over 100 separate categories of cause of death, including various cancers, suicides, assault by firearms, multiple sclerosis, pneumonia, hypothermia, falls, and Parkinson's disease, and show how often these occurred in different neighbourhoods. Accompanying each map is a detailed description and brief geographical analysis - the number of people who have died due to each cause, the average age of death and ratio of male to female deaths are listed. Taken as a whole, these provide a comprehensive overview of the geographical pattern of mortality in Britain. This atlas will be essential reading for academics and students of social medicine, sociology of health and illness and epidemiology. It will also be valuable for anyone who wants a better understanding of patterns of mortality within Britain, including medical and healthcare practitioners, policy makers and researchers.Trade Review"Visually it is stunning. I expect that it will become an important reference point for years to come." Kate Woodthorpe, OU, in Ageing & Society, Vol 29, 2009."With the increasing emphasis on working together in partnership to reduce health inequalities, boost life expectancy and reduce mortality rates from the 'big killer' diseases, the potentially awkward subject of death and its causes is of growing interest to an ever wider audience. Whatever their background, readers will find The Grim Reaper's road map a gentle and fascinating introduction to the topic." LariaNews, Feb 2009"The use of cartograms has been pioneered in the UK by Professor Danny Dorling and much of the inspiration for this report comes from his book `The Grim Reaper’s Road Map: An atlas of mortality in Britain’. It adds a unique perspective, showing maps where the area is proportional to the resident population rather than the geographical area, in contrast to conventional maps where urban centres that are represented by small geographical areas contain substantial resident populations. " Chief Medical Officer Annual Report 2012"One small island; such diversity. The remarkable geographical differences in health in Britain are beautifully displayed in these stunning maps. It makes clear how potent are the effects on health of the environment in which people carry on their lives." Michael Marmot, Director International Institute for Society and Health, University College London"Given the significant magnitude of geographic disparities in mortality (such as the north-south divide and the persistently high mortality in particular regions), this volume will make an important contribution to the understanding of mortality patterns in Britain." Dr James Dunn, Departments of Geography & Public Health Sciences, University of TorontoTable of ContentsIntroduction; All deaths; Homicide; Transport; Suicide; External; Infections; Cancer; Mental disorder; Cardiovascular; Respiratory; Individual causes of death

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