Computational Modeling of Infectious Disease
Author | : Chris von Csefalvay |
Publisher | : Elsevier |
Total Pages | : 478 |
Release | : 2023-02-14 |
ISBN-10 | : 9780323958370 |
ISBN-13 | : 0323958370 |
Rating | : 4/5 (70 Downloads) |
Download or read book Computational Modeling of Infectious Disease written by Chris von Csefalvay and published by Elsevier. This book was released on 2023-02-14 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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