AI Versus Epidemics (Synthesis Lectures on Learning, Networks, and Algorithms)

AI Versus Epidemics (Synthesis Lectures on Learning, Networks, and Algorithms) by James Hughes, Sheridan Houghten, Michael Dubé
English | September 25, 2024 | ISBN: 3031643720 | 108 pages | MOBI | 8.27 Mb
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.