Description

Book Synopsis

Master GIS Applications on Modelling and Mapping the Risks of Diseases

Infections transmitted by mosquitoes, ticks, triatomine bugs, sandflies, and black flies cause significant rates of death and disease, especially in developing countries. Why are certain places more susceptible to vector-borne diseases? Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS reveals how using geographic information systems (GISs) can provide a greater understanding of how vector-borne diseases are spread and explores the use of geographical techniques in vector-borne disease monitoring, management, and control. This text provides readers with a better understanding of the vector-borne disease problem and its impact on public health.

Introduces New Spatial Approaches Based on Location and Environment

The book exposes readers to information on how to identify vector hotsp

Trade Review

"… really a good book. … adds new information and experiences to the fields of medical geography, environmental impacts, and GIS analysis as a decision support system.
—Gomaa Mohamed Dawod, Survey Research Institute, Giza, Egypt

"… presented in a logical, simple to understand manner. Practical examples that are conxtualised to GIS techniques were used, making the story line relevant and ready to use by decision makers."
—Prof Onisimo Mutanga, University of KwaZulu Natal



Table of Contents

Introduction. Modelling and Simulating the Prevalence of Vector-Borne Diseases Around the World and Efforts for Combat and Control. Cartographies and Maps of Vector-Borne Diseases. Spatial Data. Common Spatial Methods for Modelling and Analyzing Spatial and Temporal Patterns and Distributions of Mosquito-Borne Diseases. Spatial Variation Risk. Modelling Associations between Mosquito-Borne Diseases and Environmental and Socioeconomic Factors. Global Climate Change and Modelling the Potential Distribution of Vector-Borne Disease. Conclusion.

Modelling Interactions Between VectorBorne

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    £147.25

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    RRP £155.00 – you save £7.75 (5%)

    Order before 4pm today for delivery by Sat 13 Jun 2026.

    A Hardback by Hassan M. Khormi, Lalit Kumar

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      View other formats and editions of Modelling Interactions Between VectorBorne by Hassan M. Khormi

      Publisher: Taylor & Francis Inc
      Publication Date: 1/1/2015 12:05:00 AM
      ISBN13: 9781482227383, 978-1482227383
      ISBN10: 148222738X

      Description

      Book Synopsis

      Master GIS Applications on Modelling and Mapping the Risks of Diseases

      Infections transmitted by mosquitoes, ticks, triatomine bugs, sandflies, and black flies cause significant rates of death and disease, especially in developing countries. Why are certain places more susceptible to vector-borne diseases? Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS reveals how using geographic information systems (GISs) can provide a greater understanding of how vector-borne diseases are spread and explores the use of geographical techniques in vector-borne disease monitoring, management, and control. This text provides readers with a better understanding of the vector-borne disease problem and its impact on public health.

      Introduces New Spatial Approaches Based on Location and Environment

      The book exposes readers to information on how to identify vector hotsp

      Trade Review

      "… really a good book. … adds new information and experiences to the fields of medical geography, environmental impacts, and GIS analysis as a decision support system.
      —Gomaa Mohamed Dawod, Survey Research Institute, Giza, Egypt

      "… presented in a logical, simple to understand manner. Practical examples that are conxtualised to GIS techniques were used, making the story line relevant and ready to use by decision makers."
      —Prof Onisimo Mutanga, University of KwaZulu Natal



      Table of Contents

      Introduction. Modelling and Simulating the Prevalence of Vector-Borne Diseases Around the World and Efforts for Combat and Control. Cartographies and Maps of Vector-Borne Diseases. Spatial Data. Common Spatial Methods for Modelling and Analyzing Spatial and Temporal Patterns and Distributions of Mosquito-Borne Diseases. Spatial Variation Risk. Modelling Associations between Mosquito-Borne Diseases and Environmental and Socioeconomic Factors. Global Climate Change and Modelling the Potential Distribution of Vector-Borne Disease. Conclusion.

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