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Computational Modeling of Infectious Disease

With Applications in Python

  • 1st book:metaData.edition - February 14, 2023
  • book:metaData.latestEdition
  • common:contributors.author Chris von Csefalvay
  • publicationLanguages:language

Computational Modeling of Infectious Disease: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cuttin… seeMoreDescription

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promoMetaData.description

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.

promoMetaData.keyFeatures

  • 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

promoMetaData.readership

Researchers and practicing infectious disease forecasters/modelers; data scientists integrating a model of an infectious disease into their existing frameworks; computational scientists who need to understand the underlying logic of infectious disease models; Infectious disease specialists who need solid quantitative grounding for their research. Graduate students in virology, infectious disease medicine, quantitative biology, quantitative ecology, and epidemiology; infectious disease forecasters at public health authorities, hospitals, regulatory bodies

promoMetaData.tableOfContents

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

promoMetaData.productDetails

  • productDetails.edition: 1
  • book:metaData.latestEdition
  • productDetails.published: February 14, 2023
  • publicationLanguages:languageTitle: publicationLanguages:en

promoMetaData.aboutTheAuthor

Cv

Chris von Csefalvay

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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Vice-President for Special Projects, Starschema Inc., VA, USA

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