Computational Modeling of Infectious Disease

With Applications in Python
Erscheinungsjahr 2023
ISBN: 978-0-323-95389-4
Verlag: Elsevier Science

Buch, Englisch, 476 Seiten, Format (B × H): 152 mm x 228 mm, Gewicht: 770 g

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.

Autoren/Hrsg.

Csefalvay, Chris Von

Fachgebiete

• Naturwissenschaften Biowissenschaften Mikrobiologie
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

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

Über Autor(innen)

Csefalvay, Chris Von
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.