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Title: GIS-based prediction of malaria risk in Egypt
Authors: Hassan, A.N.
Kenawy, M.A.
Kamal, H.
Abdel Sattar, A.A.
Sowilem, M.M.
Issue Date: 2003
Language: English
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
Description: 548-558
Keywords: Agriculture
Anopheles
Climate
Demography
Discriminant Analysis
Epidemiologic Methods
Fresh Water
Insect Vectors
Needs Assessment
Population Surveillance
Socioeconomic Factors
Subject: Geographic Information Systems
URI: http://www.who.int/iris/handle/10665/119307
ISSN: 1020-3397
Other Identifiers: http://applications.emro.who.int/emhj/0904/9_4_2003_548_558.pdf
Appears in Collections:EMRO Journal Articles (EMHJ)



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