尼日利亚尼日尔州 Borgu 地方政府区部分地区血吸虫病的预测风险图。
Predictive Risk Mapping for Schistosomiasis in Parts of Borgu Local Government Area (LGA) of Niger State, Nigeria.
出版信息
J Health Care Poor Underserved. 2021;32(4):2071-2085. doi: 10.1353/hpu.2021.0183.
BACKGROUND
This study constructed predictive risk mapping of schistosomiasis infection and transmission using environmental and proximity risk factors.
METHODS
Environmental risk factors were derived from satellite imageries. Proximity risk factors and parasitological results were derived from fieldwork. The geographic coordinates of the settlement layer were used to extract the underlying cell values of the rasterized data layers using spatial collocation method.
RESULTS
The results suggest all the risk factors are likely to increase the odds of schistosomiasis infection, with the LST (Exp(β) =39.760) and NDVI (Exp(β) = 1.030E+068) as the most important predictors.
CONCLUSION
This study suggests an urgent need to conduct parasitological tests in other communities in high-risk zone in order to develop an inclusive and comprehensive treatment campaigns to reach the unreached and leave no community behind in schistosomiasis containment.
背景
本研究利用环境和邻近风险因素构建了血吸虫病感染和传播的预测风险图。
方法
环境风险因素来源于卫星图像。邻近风险因素和寄生虫学结果来源于实地调查。利用空间配置方法，利用定居层的地理坐标从栅格化数据层中提取基础单元值。
结果
结果表明，所有风险因素都有可能增加血吸虫病感染的几率，其中 LST（Exp（β）= 39.760）和 NDVI（Exp（β）= 1.030E+068）是最重要的预测因子。
结论
本研究表明，迫切需要在高风险地区的其他社区进行寄生虫学检测，以便开展包容性和全面的治疗运动，以达到无遗漏和不放弃任何社区的血吸虫病防治目标。
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