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Computational Modeling of Infectious Disease: With Applications in Python - Softcover

Von Csefalvay MA (Oxon) BCL FRSPH, Chris

 
9780323953894: Computational Modeling of Infectious Disease: With Applications in Python
Softcover
ISBN 10: 0323953891 ISBN 13: 9780323953894
Publisher: Academic Press, 2023

Synopsis

Computational Modeling of Infectious Disease provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models through time series analysis to geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual for practitioners. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. The text 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.

"synopsis" may belong to another edition of this title.

About the Author

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 board certified in public health (CPH) and a Fellow of the Royal Society for Public Health.

From the Back Cover


Computational Modeling of Infectious Disease provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models through time series analysis to geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual for practitioners. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. The text 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.

"About this title" may belong to another edition of this title.

Publisher
Academic Press
Publication date
2023
Language
English
ISBN 10 
0323953891
ISBN 13 
9780323953894
Binding
Paperback
Edition number
1
Number of pages
476