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首页> 外文期刊>The American Journal of Tropical Medicine and Hygiene >High spatial resolution mapping of malaria transmission risk in the Gambia, west Africa, using LANDSAT TM satellite imagery.
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High spatial resolution mapping of malaria transmission risk in the Gambia, west Africa, using LANDSAT TM satellite imagery.

机译：使用LANDSAT TM卫星图像对西非冈比亚的疟疾传播风险进行高空间分辨率制图。

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摘要

Understanding local variability in malaria transmission risk is critically important when designing intervention or vaccine trials. Using a combination of field data, satellite image analysis, and GIS modeling, we developed a high-resolution map of malaria entomological inoculation rates (EIR) in The Gambia, West Africa. The analyses are based on the variation in exposure to malaria parasites experienced in 48 villages in 1996 and 21 villages in 1997. The entomological inoculation rate (EIR) varied from 0 to 166 infective bites per person per rainy season. Detailed field surveys identified the major Anopheles gambiae s.l. breeding habitats. These habitats were mapped by classification of a LANDSAT TM satellite image with an overall accuracy of 85%. Village EIRs decreased as a power function based on the breeding areas size and proximity. We use this relationship and the breeding habitats to map the variation in EIR over the entire 2500-km(2) study area.
机译：在设计干预或疫苗试验时，了解疟疾传播风险的局部变异性至关重要。通过结合现场数据，卫星图像分析和GIS建模，我们在西非冈比亚开发了高分辨率的疟疾昆虫学接种率（EIR）地图。这些分析是基于1996年的48个村庄和1997年的21个村庄所经历的疟疾寄生虫暴露水平的变化。昆虫学接种率（EIR）从每人每雨季0到166个感染叮咬变化。详细的现场调查确定了冈比亚按蚊的主要种群。繁殖栖息地。通过对LANDSAT TM卫星图像进行分类来绘制这些栖息地，总体准确度为85％。乡村EIR作为幂函数的减少取决于繁殖区域的大小和邻近程度。我们使用这种关系和繁殖栖息地来绘制整个2500 km（2）研究区域内EIR的变化。

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