Tools from ecology: useful for evaluating infection risk models?

被引:104
作者
Brooker, S
Hay, SI
Bundy, DAP
机构
[1] Univ London Imperial Coll Sci Technol & Med, Sch Med, Dept Infect Dis Epidemiol, London W2 1PG, England
[2] Univ Oxford, Dept Zool, TALA, Trypanosomiasia & Land Use Africa, Oxford OX1 3PS, England
[3] World Bank, Human Dev Div, Washington, DC 20433 USA
基金
英国惠康基金;
关键词
D O I
10.1016/S1471-4922(01)02223-1
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
Despite the increasing number of models to predict infection risk for a range of diseases, the assessment of their spatial limits, predictive performance and practical application are not widely undertaken. Using the example of Schistosoma haematobium in Africa, this article illustrates how ecozonation and receiver-operator characteristic analysis can help to assess the usefulness of available models objectively.
引用
收藏
页码:70 / 74
页数:5
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