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, 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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