Spatial epidemiology of human schistosomiasis in Africa: risk models, transmission dynamics and control

被引:112
作者
Brooker, Simon [1 ]
机构
[1] Univ London London Sch Hyg & Trop Med, Dept Infect & Trop Dis, London WC1E 7HT, England
基金
英国惠康基金;
关键词
schistosomiasis; spatial epidemiology; geographical information systems; remote sensing; geostatistics; control; Africa;
D O I
10.1016/j.trstmh.2006.08.004
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
This paper reviews recent studies on the spatial epidemiology of human schistosomiasis in Africa. The integrated use of geographical information systems, remote sensing and geostatistics has provided new insights into the ecology and epidemiology of schistosomiasis at a variety of spatial scales. Because Large-scale patterns of transmission are influenced by climatic conditions, an increasing number of studies have used remotely sensed environmental data to predict spatial distributions, most recently using Bayesian methods of inference. Such data-driven approaches allow for a more rational implementation of intervention strategies across the continent. It is suggested that improved incorporation of transmission dynamics into spatial modets and assessment of uncertainties inherent in data and modetting approaches represent important future research directions. (C) 2006 Royal Society of Tropical Medicine and Hygiene. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 8
页数:8
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