Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond

Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond explains how the Bayesian approach can analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. It discusses the foundation of Bayesian statistics, the biology and evolutionary behavior of infectious diseases, and the application of Markov Chains to contagious diseases. It also includes discussion of the epidemic threshold theorem and basic properties of the infection process.

Format: Paperback / softback
Length: 332 pages
Publication date: 29 August 2022
Publisher: Taylor & Francis Ltd

Bayesian Analysis of Infectious Diseases - COVID-19 and Beyond delves into the utilization of the Bayesian approach to examine the evolutionary dynamics of infectious diseases, encompassing the global impact of the coronavirus pandemic. This comprehensive book elucidates the fundamental principles of Bayesian statistics while providing an in-depth exploration of the biology and evolutionary mechanisms of infectious diseases, encompassing both viral and bacterial manifestations of contagion. It delves into the application of Markov Chains to contagious illnesses, previews data analysis models such as the epidemic threshold theorem, and delves into the fundamental characteristics of the infection process. Additionally, the book presents the chain binomial model for the evolution of epidemics.

Key Features:

• Represents the inaugural book on infectious diseases approached from a Bayesian perspective.
• Employs WinBUGS and R to generate observations that mimic the progression of contagious maladies.
• Discusses the profound impact of the coronavirus pandemic, along with numerous examples from the past, including the devastating flu epidemic of 1918-1919.
• Compares standard non-Bayesian and Bayesian inferences.
• Provides the R and WinBUGS code exclusively at www.routledge.com/9780367633868.

Weight: 360g
Dimension: 155 x 234 x 22 (mm)
ISBN-13: 9780367647247