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

Csefalvay

Brossura

ISBN 10: 0323953891 ISBN 13: 9780323953894

Casa editrice: Academic Press, 2023

Riassunto

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.

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Informazioni sull'autore

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.

Dalla quarta di copertina

Computational Modeling of Infectious Diseases: 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 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. Computational Modeling of Infectious Diseases 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.

Dettagli dell'edizione

• Editore: Academic Press
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 0323953891
• ISBN 13: 9780323953894
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 476
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile