Application of GIS to predict malaria hotspots based on Anopheles arabiensis habitat suitability in Southern Africa.

Isaiah Gwitira,Amon Murwira,Fadzai M. Zengeya,Munyaradzi Davis Shekede

International Journal of Applied Earth Observation and Geoinformation（2018）

引用 14|浏览5

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摘要

•Geographic information system and spatial statistics can be successfully used to model malaria hotspots using recorded malaria cases.•Malaria hotspots can be modelled using autologistic regression.•Anopheles arabiensis habitat suitability significantly predicts malaria hotspots.

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关键词

Getis Ord Gi*,Malaria hotspot,Autologistic regression,Anopheles arabiensis,GIS modelling,Habitat suitability

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