Bayesian Analysis of Infectious Diseases COVID 19 and Beyond 1st Edition by Lyle Broemeling 100033631X 9781000336474
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Product details:
ISBN 10: 100033631X
ISBN 13: 9781000336474
Author: Lyle D. Broemeling
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.
Table of contents:
Chapter 1: Introduction to Bayesian Inferences for Infectious Diseases
Chapter 2: Bayesian Analysis
Chapter 3: Infectious Diseases
Chapter 4: Bayesian Inference for Discrete Markov Chains: Their Relevance to Infectious Diseases
Chapter 5: Biological Examples Modeled by Discrete Markov Chains
Chapter 6: Inferences for Markov Chains in Continuous Time
Chapter 7: Bayesian Inference: Biological Processes that Follow a Continuous Time Markov Chain
Chapter 8: Additional Information about Infectious Diseases
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Tags: Lyle Broemeling, Bayesian, Analysis, Infectious