Computational Modeling of Infectious Disease
With Applications in Python
- 1st Edition - February 14, 2023
- Latest edition
- Author: Chris von Csefalvay
- Language: English
Computational Modeling of Infectious Disease: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cuttin… Read more
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Description
Description
Key features
Key features
- 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
Readership
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
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: February 14, 2023
- Language: English
About the author
About the author
Cv