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

Author

Listed:
  • Yinghui Wei
  • Peter Neal
  • Sandra Telfer
  • Mike Begon

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.

Suggested Citation

  • Yinghui Wei & Peter Neal & Sandra Telfer & Mike Begon, 2012. "Statistical analysis of an endemic disease from a capture--recapture experiment," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(12), pages 2759-2773, August.
    • Handle: RePEc:taf:japsta:v:39:y:2012:i:12:p:2759-2773
    DOI: 10.1080/02664763.2012.725467
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    References listed on IDEAS

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    1. S. P. Brooks & P. Giudici & G. O. Roberts, 2003. "Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 3-39, January.
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