コロナウイルス感染経路追跡のためのＡＩ AI Versus Epidemics

著者名：Hughes, James/Houghten, Sheridan/Dubé, Michael/Ashlock, Daniel/Brown, Joseph Alexander/Ashlock, Wendy

Springer（2024/09/24発売）

• 言語：ENG
• ISBN：9783031643729
• eISBN：9783031643736

Description

This book presents algorithms and tools that are designed to model and extract information from personal contact networks, which represent which individuals in a population are physically in contact with one another. The authors developed these tools based on research they conducted during the COVID-19 pandemic, with the goal of improving responses to epidemics in the future. The book provides methods for modelling the transmission of infection across a population. The authors explain how an epidemic model can be used to strategically distribute vaccines and minimize the spread of a virus. The book shows how evolutionary computation, graph compression, and network induction can be utilized to manage issues that arise from an epidemic. 

Table of Contents

Chapter 1 Introduction.- Chapter 2 Evolutionary Computation.- Chapter 3 Graph Compression.- Chapter 4 Network Induction.