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Book Synopsis

Chapter 1 Leveraging Artificial Intelligence and Complex Systems Simulation for Computational Pandemic Response: The Japanese Government's COVID-19 AI & Simulation Project.- Chapter 2 Projection of COVID-19 positive cases considering new viral variants and vaccination effectiveness models: Deep learning approach.- Chapter 3 Projections of COVID-19 Severity and Case Fatality Rates in Tokyo: Real-Time Analysis and Ex-post Assessment.- Chapter 4 Prefecture-Level Projections for COVID-19 Hospital Bed Demand in Japan.- Chapter 5 Driven by Models, Data, and People toward Lessons from “Stay with Your Community” .- Chapter 6 Risk of COVID-19 infection at home and in the office.- Chapter 7 Individual-based epidemic simulation with one million agents.- Chapter 8 Effect of small-world network on infection diffusion: A multi-agent simulation reflecting human travel network.- Chapter 9 A multi-layered AI simulation for assessing the impact of infection control measures.- Chapter 10 The pEffects of Reopening the Border on Covid-19 Infection: A Simulation Study for Japan in the Summer of 2022.- Chapter 11 Forecasting COVID-19 Infection with Model Averaging: A Real-Time Evaluation 1.

Social Simulation of COVID19 with AI in Japan

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    A Hardback by Satoshi Kurihara

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      Book details

      Publisher Springer
      Published 9 May 2025
      ISBN-13 9789819680658
      978-9819680658
      ISBN-10 9819680654
      Also in:
      Business applications

      Description

      Book Synopsis

      Chapter 1 Leveraging Artificial Intelligence and Complex Systems Simulation for Computational Pandemic Response: The Japanese Government's COVID-19 AI & Simulation Project.- Chapter 2 Projection of COVID-19 positive cases considering new viral variants and vaccination effectiveness models: Deep learning approach.- Chapter 3 Projections of COVID-19 Severity and Case Fatality Rates in Tokyo: Real-Time Analysis and Ex-post Assessment.- Chapter 4 Prefecture-Level Projections for COVID-19 Hospital Bed Demand in Japan.- Chapter 5 Driven by Models, Data, and People toward Lessons from “Stay with Your Community” .- Chapter 6 Risk of COVID-19 infection at home and in the office.- Chapter 7 Individual-based epidemic simulation with one million agents.- Chapter 8 Effect of small-world network on infection diffusion: A multi-agent simulation reflecting human travel network.- Chapter 9 A multi-layered AI simulation for assessing the impact of infection control measures.- Chapter 10 The pEffects of Reopening the Border on Covid-19 Infection: A Simulation Study for Japan in the Summer of 2022.- Chapter 11 Forecasting COVID-19 Infection with Model Averaging: A Real-Time Evaluation 1.

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