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Parametry
- 328 stránek
- 12 hodin čtení
Více o knize
Focusing on mathematical epidemiology and computational modeling, this textbook addresses the outbreak dynamics and control of COVID-19. It integrates modern concepts from physics-based simulation, data science, and machine learning, equipping readers with essential tools to model and simulate nonlinear dynamic systems related to global pandemics. The content is particularly relevant for understanding and managing current public health challenges.
Nákup knihy
Computational Epidemiology, Ellen Kuhl
- Jazyk
- Rok vydání
- 2021
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Doručení
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- Podtitul
- Data-Driven Modeling of COVID-19
- Jazyk
- anglicky
- Autoři
- Ellen Kuhl
- Vydavatel
- Springer International Publishing
- Rok vydání
- 2021
- Vazba
- pevná
- Počet stran
- 328
- ISBN13
- 9783030828899
- Série
- Hodnocení
- 3,5 z 5
- Anotace
- Focusing on mathematical epidemiology and computational modeling, this textbook addresses the outbreak dynamics and control of COVID-19. It integrates modern concepts from physics-based simulation, data science, and machine learning, equipping readers with essential tools to model and simulate nonlinear dynamic systems related to global pandemics. The content is particularly relevant for understanding and managing current public health challenges.