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Computational Epidemiology: Data-Driven Modeling of COVID-19 Ellen Kuhl 2021 edition
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Computational Epidemiology: Data-Driven Modeling of COVID-19
Ellen Kuhl
This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19.
312 pages, XVI, 312 p.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 24 de septiembre de 2022 |
| ISBN13 | 9783030828929 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 312 |
| Dimensiones | 150 × 220 × 10 mm · 504 g |
| Lengua | Alemán |
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