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 Win BUGS 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 Win BUGS code on at www.routledge.com/9780367633868
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格式 EPUB ● 网页 342 ● ISBN 9781000336474 ● 出版者 CRC Press ● 发布时间 2021 ● 下载 3 时 ● 货币 EUR ● ID 7735568 ● 复制保护 Adobe DRM
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