Kommande
Data & IT
AI Versus Epidemics
James Hughes • Sheridan Houghten • Michael Dub • Daniel Ashlock • Joseph Alexander Brown
Inbunden
659:-
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.
- Format: Inbunden
- ISBN: 9783031643729
- Språk: Engelska
- Antal sidor: 97
- Utgivningsdatum: 2024-10-29
- Förlag: Springer International Publishing AG