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

被引:0
|
作者
Wei, Yinghui [1 ]
Neal, Peter [2 ]
Telfer, Sandra [3 ]
Begon, Mike [4 ]
机构
[1] MRC, Biostat Unit, Cambridge CB2 2BW, England
[2] Univ Manchester, Sch Math, Manchester, Lancs, England
[3] Univ Aberdeen, Inst Biol & Environm Sci, Aberdeen, Scotland
[4] Univ Liverpool, Inst Integrat Biol, Liverpool L69 3BX, Merseyside, England
关键词
open population; infectious diseases; endemicity; MCMC; TRANSMISSION RATES; BAYESIAN-INFERENCE; COWPOX; MODEL; INFECTION;
D O I
10.1080/02664763.2012.725467
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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.
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页码:2759 / 2773
页数:15
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