A tutorial introduction to Bayesian inference for stochastic epidemic models using Markov chain Monte Carlo methods.
Recent Bayesian methods for the analysis of infectious disease outbreak data using stochastic epidemic models are reviewed. These methods rely on Markov chain Monte Carlo methods. Both temporal and non-temporal data are considered. The methods are illustrated with a number of examples featuring different models and datasets.
O'Neill
Philip D
PD
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK. pdo@maths.nott.ac.uk
D000465:Algorithms; D001499:Bayes Theorem; D004196:Disease Outbreaks; D004812:Epidemiologic Methods; D006801:Humans; D008390:Markov Chains; D008954:Models, Biological; D009010:Monte Carlo Method; D013269:Stochastic Processes