From predicting mosquito habitat to malaria seasons using remotely sensed data: Practice, problems and perspectives

被引:127
作者
Hay, SI
Snow, RW
Rogers, DJ
机构
[1] Univ Oxford, Dept Zool, TALA Res Grp, Oxford OX1 3PS, England
[2] Univ Oxford, John Radcliffe Hosp, Nuffield Dept Clin Med, Oxford OX3 9DS, England
来源
PARASITOLOGY TODAY | 1998年 / 14卷 / 08期
基金
英国惠康基金;
关键词
D O I
10.1016/S0169-4758(98)01285-X
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 [理学]; 0710 [生物学]; 09 [农学]; 100103 [病原生物学];
摘要
Remote sensing techniques are becoming increasingly important for identifying mosquito habitats, investigating malaria epidemiology and assisting malaria control. Here, Simon Hay, Bob Snow and David Rogers review the development of these techniques, from aerial photographic identification of mosquito larval habitats on the local scale through to the space-based survey of malaria risk over continental areas using increasingly sophisticated airborne and satellite-sensor technology. they indicate that previous constraints to uptake are becoming less relevant and suggest how control might be avoided.
引用
收藏
页码:306 / 313
页数:8
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