Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond - Chapman & Hall/CRC Biostatistics Series

Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and evolutionary behavior of infectious diseases, including viral and bacterial manifestations of the contagion. The book discusses the application of Markov Chains to contagious diseases, previews data analysis models, the epidemic threshold theorem, and basic properties of the infection process. Also described are the chain binomial model for the evolution of epidemics.Features: Represents the first book on infectious disease from a Bayesian perspective. Employs WinBUGS and R to generate observations that follow the course of contagious maladies. Includes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919. Compares standard non-Bayesian and Bayesian inferences. Offers the R and WinBUGS code on at www.routledge.com/9780367633868

ISBN:	9780367647247
Publisher:	CRC Press
Imprint:	Chapman & Hall/CRC
Published date:	29 Aug 2022
DEWEY:	616.90015195
DEWEY edition:	23
Language:	English
Number of pages:	332
Weight:	360g
Height:	155mm
Width:	234mm
Spine width:	22mm

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