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Local topographic wetness indices predict household malaria risk better than land-use and land-cover in the western Kenya highlands

机译:当地的地形湿度指数预测肯尼亚西部高地的家庭疟疾风险要好于土地利用和土地覆盖

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摘要

BackgroundIdentification of high-risk malaria foci can help enhance surveillance or control activities in regions where they are most needed. Associations between malaria risk and land-use/land-cover are well-recognized, but these environmental characteristics are closely interrelated with the land's topography (e.g., hills, valleys, elevation), which also influences malaria risk strongly. Parsing the individual contributions of land-cover/land-use variables to malaria risk requires examining these associations in the context of their topographic landscape. This study examined whether environmental factors like land-cover, land-use, and urban density improved malaria risk prediction based solely on the topographically-determined context, as measured by the topographic wetness index.
机译:背景识别高危疟疾疫源地有助于在最需要的地区加强监测或控制活动。疟疾风险与土地利用/土地覆盖之间的关联已得到公认,但这些环境特征与土地地形(例如丘陵,山谷,海拔)密切相关,这也极大地影响了疟疾风险。解析土地覆盖/土地利用变量对疟疾风险的个体贡献,需要在其地形环境中检查这些关联。这项研究检查了环境因素(如土地覆盖,土地利用和城市密度)是否仅根据地形确定的背景(由地形湿度指数衡量)是否可以改善疟疾风险预测。

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