Bayesian Analysis of Infectious Diseases : COVID-19 and Beyond

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Author -- Chapter 1: Introduction to Bayesian Inferences for Infectious Diseases -- 1.1 Introduction -- 1.2 A Preview of the Book -- 1.3 Some Key References for Infectious Diseases and their Analysis -- The Following Articles are Quite Appropriate for the Coronavirus Pandemic -- Links to Infectious Disease Sources -- Comments -- Chapter 2: Bayesian Analysis -- 2.1 Introduction -- 2.2 Bayes Theorem -- 2.3 Prior Information -- 2.3.1 The Binomial Distribution -- 2.3.2 The Normal Distribution -- 2.4 Posterior Information -- 2.4.1 The Binomial Distribution -- 2.4.2 The Normal Distribution -- 2.4.3 The Poisson Distribution -- 2.5 Inference -- 2.5.1 Introduction -- 2.5.2 Estimation -- 2.5.3 Testing Hypotheses -- 2.6 Predictive Inference -- 2.6.1 Introduction -- 2.6.2 The Binomial Population -- 2.6.3 Forecasting from a Normal Population -- 2.7 An Example of Bayesian Inference in a Stochastic Epidemic -- 2.7.1 Deterministic Model -- 2.7.2 The Stochastic Epidemic -- 2.8 Comments -- 2.9 Exercises -- References -- Chapter 3: Infectious Diseases -- 3.1 Introduction -- 3.2 Antibody Production -- 3.3 How Drugs Fight Disease -- 3.4 How Certain Drugs Attack Infections -- 3.5 Drug Resistance -- 3.6 Vaccine and Hormone Therapy -- 3.7 Infectious Diseases -- 3.8 Contagious Diseases -- 3.9 Emerging Infections -- 3.10 Tuberculosis -- 3.11 Malaria -- 3.12 Coronavirus -- 3.13 Foodborne Pathogens -- 3.14 Animal Virus Threats to Humans -- References -- Chapter 4: Bayesian Inference for Discrete Markov Chains: Their Relevance to Infectious Diseases -- 4.1 Introduction -- 4.2 Examples of Markov Chains with Biased Coins -- 4.3 Fundamental Computations -- 4.4 Limiting Distributions -- 4.5 Stationary Distributions -- 4.6 Where is that Particular State? -- 4.6.1 Introduction..

Medienart:	E-Book

Erscheinungsjahr:	2021 ©2021
Erschienen:	Milton: CRC Press LLC ; 2021 ©2021

Reihe:	Chapman and Hall/CRC Biostatistics Ser.

Sprache:	Englisch

Beteiligte Personen:	Broemeling, Lyle D. [VerfasserIn]

Links:	ebookcentral.proquest.com [lizenzpflichtig]

ISBN:	978-1-000-33647-4

Themen:	Bayesian statistical decision theory Electronic books

Anmerkungen:	Description based on publisher supplied metadata and other sources

Umfang:	1 online resource (342 pages)

Förderinstitution / Projekttitel:

PPN (Katalog-ID):	1744829993