Inferring the Time of Infection from Serological Data

Authored by: Maciej F. Boni , Kåre Mølbak , Karen A. Krogfelt

Handbook of Infectious Disease Data Analysis

Print publication date:  November  2019
Online publication date:  November  2019

Print ISBN: 9781138626713
eBook ISBN: 9781315222912
Adobe ISBN:


 Download Chapter



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.

Search for more...
Back to top

Use of cookies on this website

We are using cookies to provide statistics that help us give you the best experience of our site. You can find out more in our Privacy Policy. By continuing to use the site you are agreeing to our use of cookies.