Computational Modeling of Infectious Disease: With Applications in Python

Author:   Chris von Csefalvay, MA (Oxon) BCL FRSPH (Vice-President for Special Projects, Starschema Inc., VA, USA)
Publisher:   Elsevier Science & Technology
ISBN:  

9780323953894


Pages:   476
Publication Date:   22 February 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computational Modeling of Infectious Disease: With Applications in Python


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Overview

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.

Full Product Details

Author:   Chris von Csefalvay, MA (Oxon) BCL FRSPH (Vice-President for Special Projects, Starschema Inc., VA, USA)
Publisher:   Elsevier Science & Technology
Imprint:   Academic Press Inc
Weight:   0.770kg
ISBN:  

9780323953894


ISBN 10:   0323953891
Pages:   476
Publication Date:   22 February 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

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Author Information

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.

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