An application of hidden Markov models to the French variant Creutzfeldt-Jakob disease epidemic

被引:6
作者
Chadeau-Hyam, Marc [1 ]
Clarke, Paul S. [2 ]
Guihenneuc-Jouyaux, Chantal [3 ,4 ]
Cousens, Simon N. [5 ]
Will, Robert G. [6 ]
Ghani, Azra C. [7 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Sch Publ Hlth, Dept Epidemiol & Biostat, London W2 1PG, England
[2] Univ Bristol, Bristol BS8 1TH, Avon, England
[3] Univ Paris 05, Villejuif, France
[4] Univ Paris 11, Villejuif, France
[5] London Sch Hyg & Trop Med, London, England
[6] Western Gen Hosp, Edinburgh EH4 2XU, Midlothian, Scotland
[7] Univ London Imperial Coll Sci Technol & Med, London, England
关键词
Hidden Markov model; Markov chain Monte Carlo methods; Rare disease; Variant Creutzfeldt; Jakob disease; VCJD EPIDEMIC; AGE CHARACTERISTICS; INCUBATION-TIME; UNITED-KINGDOM; GREAT-BRITAIN; UK; TRANSMISSION; FRANCE; NUMBER; PREDICTABILITY;
D O I
10.1111/j.1467-9876.2010.00714.x
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
In 1996, the discovery of variant Creutzfeldt-Jakob disease in the UK raised serious concerns about a large-scale epidemic. These concerns have been heightened by the recent discovery of people in Britain who were infected through blood transfusion. The outbreak of variant Creutzfeldt-Jakob disease in France emerged more recently with 23 cases observed to date. We use a hidden Markov model to predict the scale of the epidemic in France. As accurate data on the most important epidemiological parameters are scarce, we incorporate estimates from previous studies. Parameter estimation is performed by using Markov chain Monte Carlo methods from which credible intervals for our predictions are obtained. The sensitivity of these predictions to important assumptions regarding population exposure is assessed.
引用
收藏
页码:839 / 853
页数:15
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