Bayesian Analysis of Infectious Diseases

✍ Scribed by Lyle D. Broemeling

Publisher: CRC Press/Chapman & Hall
Year: 2021
Tongue: English
Leaves: 702
Series: Chapman & Hall/CRC Biostatistics Series
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

📜 SIMILAR VOLUMES

Atlas of Infectious Diseases: Fungal Inf

📁 Atlas of Infectious Diseases: Fungal Infections

✍ Joseph Wheat (auth.), Gerald L. Mandell MD, Richard D. Diamond MD (eds.) 📂 Library 📅 2000 🏛 Current Medicine Group 🌐 English

Mathematical Analysis of Infectious Dise

📁 Mathematical Analysis of Infectious Diseases

✍ Praveen Agarwal, Juan J. Nieto, Delfim F.M. Torres 📂 Library 📅 2022 🏛 Academic Press 🌐 English

Mathematical Analysis of Infectious Diseases updates on the mathematical and epidemiological analysis of infectious diseases. Epidemic mathematical modeling and analysis is important, not only to understand disease progression, but also to provide predictions about the evolutio

Analysis of Infectious Disease Data

📁 Analysis of Infectious Disease Data

✍ N.G. Becker (Author) 📂 Library 📅 1989 🏛 Chapman and Hall/CRC

The book gives an up-to-date account of various approaches availablefor the analysis of infectious disease data. Most of the methods havebeen developed only recently, and for those based on particularlymodern mathematics, details of the computation are carefullyillustrated. Interpretation is disc

Handbook of Infectious Disease Data Anal

📁 Handbook of Infectious Disease Data Analysis

✍ Leonhard Held (editor), Niel Hens (editor), Philip D. O'Neill (editor), Jacco Wa 📂 Library 📅 2019 🏛 Chapman and Hall/CRC 🌐 English

Recent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data. The Handbook of Infectious Disease Data Analysis

Handbook of Infectious Disease Data Anal

📁 Handbook of Infectious Disease Data Analysis

✍ Leonhard Held (Editor); Niel Hens (Editor); Philip D O`Neill (Editor); Jacco Wal 📂 Library 📅 2019 🏛 Chapman and Hall/CRC

Recent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data. The Handbook of Infectious Disease Data Analysis</

Diagnosis of Fungal Infections (Infectio

📁 Diagnosis of Fungal Infections (Infectious Disease and Therapy)

✍ Johan A. Maertens, Kieren A. Marr 📂 Library 📅 2007 🌐 English

Analyzing a key cause of infectious morbidity in immunosuppressed and immunocompromised patients, this source spans the most recent strategies to improve and expedite the diagnosis, identification, and treatment of fungal infections. With authoritative contributions from experienced clinicians in th