Computational Modeling of Infectious Disease: With Applications in Python

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. 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 INDICE: 1. Introduction 2. Simple compartmental models 3. Modeling host factors 4. Host-vector and multi-host systems 5. Multi-pathogen systems 6. Modeling the control of infectious disease 7. Temporal dynamics of infectious disease 8. Spatial models of infectious disease 9. Agent-based models

• ISBN: 978-0-323-95389-4
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 250
• Fecha Publicación: 20/03/2023
• Nº Volúmenes: 1
• Idioma: Inglés