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Computational Modeling of Infectious Disease

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Computational Modeling of Infectious Disease

With Applications in Python

Chris Von Csefalvay

Academic Press
Publication date : 2023-02-14

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Computational Modeling of Infectious Disease: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models, and through time series analysis and geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. This book is designed for researchers and practicing infectious disease forecasters, modelers, data scientists, and those who wish to learn more about analysis of infectious disease processes in the real world. - Connects computational infectious disease analysis to state-of-the-art data science - Conveys ideas on epidemiology and infectious disease modeling in a clear, accessible way - Provides code examples to elucidate best practices

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About the book

Author

Chris Von Csefalvay

Imprint

Academic Press

Collection

n.c

Publication date

2023-02-14

Pages

476 pages

Print ISBN

9780323953894

Language

English

Ebook informations

EAN EPUB DRM-FREE

9780323958370

Price

£121.32

Informations accessibility

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About author(s)

Chris Von Csefalvay

Born in Budapest, Hungary, Chris Von Csefalvay was educated at Oxford, Leiden and Cardiff. A data scientist by background, he has advised enterprises, NGOs and governments on the use of computational tools and Big Data to manage the challenges of public health in a rapidly changing world. He joined Starschema Inc. in 2018, serving as Vice-President for Special Projects. He is a Fellow of the Royal Society for Public Health.

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