Effect of data quality on estimates of farm infectiousness trends in the UK 2001 foot-and-mouth disease epidemic

被引:16
作者
Savill, Nicholas J.
Shaw, Darren J.
Deardon, Rob
Tildesley, Michael J.
Keeling, Matthew J.
Woolhouse, Mark E. J.
Brooks, Stephen P.
Grenfell, Bryan T.
机构
[1] Univ Edinburgh, Ctr Infect Dis, Edinburgh EH9 3JT, Midlothian, Scotland
[2] Univ Edinburgh, RDSVS, Easter Bush Vet Ctr, Roslin EH25 9RG, Midlothian, Scotland
[3] Cambridge Infect Dis Consortium, Dept Vet Med, Cambridge CB3 0ES, England
[4] Univ Warwick, Dept Biol Sci, Ecol & Epidemiol Grp, Coventry CV4 7AL, W Midlands, England
[5] Univ Cambridge, Ctr Math Sci, Star Lab, Cambridge CB3 0WB, England
[6] Penn State Univ, Ctr Infect Dis Dynam, Dept Entomol & Biol, University Pk, PA 16802 USA
[7] NIH, Fogarty Int Ctr, Bethesda, MD 20892 USA
基金
英国惠康基金;
关键词
foot-and-mouth disease; mathematical model; epidemiology;
D O I
10.1098/rsif.2006.0178
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Most of the mathematical models that were developed to study the UK 2001 foot-and-mouth disease epidemic assumed that the infectiousness of infected premises was constant over their infectious periods. However, there is some controversy over whether this assumption is appropriate. Uncertainty about which farm infected which in 2001 means that the only method to determine if there were trends in farm infectiousness is the fitting of mechanistic mathematical models to the epidemic data. The parameter values that are estimated using this technique, however, may be influenced by missing and inaccurate data. In particular to the UK 2001 epidemic, this includes unreported infectives, inaccurate farm infection dates and unknown farm latent periods. Here, we show that such data degradation prevents successful determination of trends in farm infectiousness.
引用
收藏
页码:235 / 241
页数:7
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