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.