AI Versus Epidemics
Hughes, James, Houghten, Sheridan, Dubé, Michael, Ashlock, Daniel, Brown, Joseph Alexander, Ashlock, Wendy, Stoodley, Matthew
Produktnummer:
189ff066fa7d65442eba8afc95ad3b3ffb
| Autor: | Ashlock, Daniel Ashlock, Wendy Brown, Joseph Alexander Dubé, Michael Houghten, Sheridan Hughes, James Stoodley, Matthew |
|---|---|
| Themengebiete: | Artificial Intelligence COVID-19 Epidemics Pandemics Personal Contact Networks SARS-CoV-2 |
| Veröffentlichungsdatum: | 25.09.2024 |
| EAN: | 9783031643729 |
| Sprache: | Englisch |
| Seitenzahl: | 97 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "AI Versus Epidemics"
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.
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