Statistical analysis of an endemic disease from a capture-recapture experiment

Yinghui Wei*, Peter Neal, Sandra Telfer, Mike Begon

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

There are a number of statistical techniques for analysing epidemic outbreaks. However, many diseases are endemic within populations and the analysis of such diseases is complicated by changing population demography. Motivated by the spread of cowpox amongst rodent populations, a combined mathematical model for population and disease dynamics is introduced. A Markov chain Monte Carlo algorithm is then constructed to make statistical inference for the model based on data being obtained from a capture-recapture experiment. The statistical analysis is used to identify the key elements in the spread of the cowpox virus.

Original languageEnglish
Pages (from-to)2759-2773
Number of pages15
JournalJournal of Applied Statistics
Volume39
Issue number12
Early online date17 Sep 2012
DOIs
Publication statusPublished - Dec 2012

Fingerprint

Capture-recapture
Statistical Analysis
Experiment
Demography
Markov Chain Monte Carlo Algorithms
Statistical Inference
Virus
Mathematical Model
Model-based
Statistical analysis

Keywords

  • endemicity
  • infectious diseases
  • MCMC
  • open population

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Statistical analysis of an endemic disease from a capture-recapture experiment. / Wei, Yinghui; Neal, Peter; Telfer, Sandra; Begon, Mike.

In: Journal of Applied Statistics, Vol. 39, No. 12, 12.2012, p. 2759-2773.

Research output: Contribution to journalArticle

Wei, Yinghui ; Neal, Peter ; Telfer, Sandra ; Begon, Mike. / Statistical analysis of an endemic disease from a capture-recapture experiment. In: Journal of Applied Statistics. 2012 ; Vol. 39, No. 12. pp. 2759-2773.
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