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GIS-based prediction of malaria risk in Egypt / Hassan, A.N.;Kenawy, M.A.;Kamal, H.;Abdel Sattar, A.A.;Sowilem, M.M.

Tác giả : Hassan, A.N.;Kenawy, M.A.;Kamal, H.;Abdel Sattar, A.A.;Sowilem, M.M.

Năm xuất bản : 2003

Chủ đề : 1. Agriculture. 2. Anopheles. 3. Climate. 4. Demography. 5. Discriminant Analysis. 6. Epidemiologic Methods. 7. Fresh Water. 8. Geographic Information Systems. 9. Insect Vectors. 10. Needs Assessment. 11. Population Surveillance. 12. Socioeconomic Factors.

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548-558 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
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https://iris.who.int/handle/10665/119307