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利用遥感数据预测蚊虫栖息地和疟疾季节:实践、问题与展望

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

作者信息

Hay S I, Snow R W, Rogers D J

机构信息

Trypanosomiasis and Land-use in Africa (TALA) Research Group, Department of Zoology, University of Oxford, South Parks Road, Oxford, UK OX1 3PS.

出版信息

Parasitol Today. 1998 Aug;14(8):306-13. doi: 10.1016/s0169-4758(98)01285-x.

Abstract

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 future delays in the use of remotely sensed data in malaria control might be avoided.

摘要

遥感技术在识别蚊虫栖息地、调查疟疾流行病学以及协助疟疾防控方面正变得越来越重要。在此,西蒙·海伊、鲍勃·斯诺和大卫·罗杰斯回顾了这些技术的发展历程,从在地方尺度上通过航空摄影识别蚊虫幼虫栖息地,到利用日益复杂的机载和卫星传感器技术对大陆地区的疟疾风险进行天基调查。他们指出,以往阻碍采用这些技术的因素正变得越来越无关紧要,并提出了如何避免未来在疟疾防控中使用遥感数据时出现延迟的建议。

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