Skip to main content
Taylor & Francis Group Logo
Advanced Search

Click here to search books using title name,author name and keywords.

  • Login
  • Hi, User  
    • Your Account
    • Logout
Advanced Search

Click here to search books using title name,author name and keywords.

Breadcrumbs Section. Click here to navigate to respective pages.

Chapter

Inferring the Time of Infection from Serological Data

Chapter

Inferring the Time of Infection from Serological Data

DOI link for Inferring the Time of Infection from Serological Data

Inferring the Time of Infection from Serological Data book

Inferring the Time of Infection from Serological Data

DOI link for Inferring the Time of Infection from Serological Data

Inferring the Time of Infection from Serological Data book

ByMaciej F. Boni, Kåre Mølbak, Karen A. Krogfelt
BookHandbook of Infectious Disease Data Analysis

Click here to navigate to parent product.

Edition 1st Edition
First Published 2019
Imprint Chapman and Hall/CRC
Pages 17
eBook ISBN 9781315222912

ABSTRACT

This chapter describes how Markov chain Monte Carlo methods can be used to analyze data from outbreaks of infectious disease. Specifically, methods are described for Bayesian estimation of the parameters of stochastic disease transmission models. The methods are highly flexible in nature, being applicable to a wide range of models and types of data. The methods also can cater for missing data, particularly in the sense that the actual process of infection need not be observed, as is typical in practice.

As well as providing details of the Markov chain Monte Carlo methods, practical guidelines are given in the chapter. The methods are illustrated in detail for a simple example featuring a simple susceptible-infective-removed model, and also a more complex example of a real-life data set on a measles outbreak.

T&F logoTaylor & Francis Group logo
  • Policies
    • Privacy Policy
    • Terms & Conditions
    • Cookie Policy
    • Privacy Policy
    • Terms & Conditions
    • Cookie Policy
  • Journals
    • Taylor & Francis Online
    • CogentOA
    • Taylor & Francis Online
    • CogentOA
  • Corporate
    • Taylor & Francis Group
    • Taylor & Francis Group
    • Taylor & Francis Group
    • Taylor & Francis Group
  • Help & Contact
    • Students/Researchers
    • Librarians/Institutions
    • Students/Researchers
    • Librarians/Institutions
  • Connect with us

Connect with us

Registered in England & Wales No. 3099067
5 Howick Place | London | SW1P 1WG © 2021 Informa UK Limited