Related Experiment Videos
Inference for an epidemic when susceptibility varies
1School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Abstract:
A stochastic epidemic model featuring fixed-length latent periods, gamma-distributed infectious periods and randomly varying heterogeneity among susceptibles is considered. A Markov chain Monte Carlo algorithm is developed for performing Bayesian inference for the parameters governing the infectious-period length and the hyper-parameters governing the heterogeneity of susceptibility. This method of analysis applies to a wider class of diseases than methods proposed previously. An application to smallpox data confirms results about heterogeneity suggested by an earlier analysis that relied on less realistic assumptions.
Related Concept Videos
Steps in Outbreak Investigation
Introduction to Epidemiology
Infectious Diseases and Their Occurrence
Statistical Methods for Analyzing Epidemiological Data
Bias in Epidemiological Studies
Causality in Epidemiology