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Softcover - 9783031643750
42,79 €
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Beschreibung
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.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 25. September 2024 |
| Maße | 24 cm x 16.8 cm |
| Gewicht | 399 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783031643729 |
| Seiten | 97 |
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