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Parámetros
- 328 páginas
- 12 horas de lectura
Más información sobre el libro
Focusing on the intersection of mathematical epidemiology and computational modeling, this textbook addresses the complexities of outbreak dynamics and control, particularly in the context of COVID-19. It offers insights into modern tools such as data science and machine learning, equipping readers with the skills to model and simulate nonlinear dynamic systems. The content is designed to enhance understanding of pandemic-related challenges, making it a vital resource for those interested in public health and disease management.
Compra de libros
Computational Epidemiology, Ellen Kuhl
- Idioma
- Publicado en
- 2022
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- Título
- Computational Epidemiology
- Subtítulo
- Data-Driven Modeling of COVID-19
- Idioma
- Inglés
- Autores
- Ellen Kuhl
- Editorial
- Springer International Publishing
- Publicado en
- 2022
- Formato
- Tapa blanda
- Páginas
- 328
- ISBN13
- 9783030828929
- Serie
- Etiquetas
- No ficción, Salud & Medicina, Ciencia y Matemáticas, Naturaleza, Matemáticas
- Calificación
- 3,5 de 5
- Descripción
- Focusing on the intersection of mathematical epidemiology and computational modeling, this textbook addresses the complexities of outbreak dynamics and control, particularly in the context of COVID-19. It offers insights into modern tools such as data science and machine learning, equipping readers with the skills to model and simulate nonlinear dynamic systems. The content is designed to enhance understanding of pandemic-related challenges, making it a vital resource for those interested in public health and disease management.