Bøgh Claus, Lindsay Steven W, Clarke Siân E, Dean Andy, Jawara Musa, Pinder Margaret, Thomas Christopher J
DBL-Institute for Health Research and Development, Charlottenlund, Denmark.
Am J Trop Med Hyg. 2007 May;76(5):875-81.
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.
在设计干预措施或疫苗试验时，了解疟疾传播风险的局部差异至关重要。通过结合实地数据、卫星图像分析和地理信息系统（GIS）建模，我们绘制了西非冈比亚疟疾昆虫学接种率（EIR）的高分辨率地图。这些分析基于1996年48个村庄和1997年21个村庄中疟疾寄生虫暴露情况的差异。昆虫学接种率（EIR）在每个雨季每人0至166次感染性叮咬之间变化。详细的实地调查确定了主要的冈比亚按蚊复合种（Anopheles gambiae s.l.）繁殖栖息地。通过对陆地卫星专题制图仪（LANDSAT TM）卫星图像进行分类，绘制了这些栖息地的地图，总体精度为85%。村庄的EIR根据繁殖区域的大小和距离呈幂函数下降。我们利用这种关系和繁殖栖息地来绘制整个2500平方公里研究区域内EIR的变化情况。
