|Title:||GIS-based prediction of malaria risk in Egypt|
Abdel Sattar, A.A.
|Abstract:||Environmental variables in a malaria geographic information system [GIS] database were analysed to discriminate between governorates at high and low risk of malaria. Only Fayoum governorate was categorized as a high risk area for malaria during the last 2 decades. Discriminant models correctly classified 96.3% of the risk categories and indicated that the most important predictor of risk is hydrogeology. Further GIS spatial analysis indicated that the high malaria risk in Fayoum is associated with a unique environmental envelope of biotic [presence of both efficient malaria vectors] and abiotic [hydrogeology and soil] variables. Recommendations for surveillance and control are discussed|
|Subject:||Geographic Information Systems|
|Appears in Collections:||EMRO Journal Articles (EMHJ)|
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