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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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | September 23, 2021 |
| ISBN13 | 9783030828899 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 312 |
| Dimensions | 240 × 163 × 25 mm · 664 g |
| Language | German |
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