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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.
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Computational Epidemiology, Ellen Kuhl
- Language
- Released
- 2021
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- (Hardcover)
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- Subtitle
- Data-Driven Modeling of COVID-19
- Language
- English
- Authors
- Ellen Kuhl
- Publisher
- Springer International Publishing
- Released
- 2021
- Format
- Hardcover
- Pages
- 328
- ISBN13
- 9783030828899
- Series
- Rating
- 3.5 out of 5
- Description
- 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.