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dc.contributor.authorHassan, A.N.
dc.contributor.authorKenawy, M.A.
dc.contributor.authorKamal, H.
dc.contributor.authorAbdel Sattar, A.A.
dc.contributor.authorSowilem, M.M.
dc.date.accessioned2014-06-17T11:25:49Z
dc.date.available2014-06-17T11:25:49Z
dc.date.issued2003EN
dc.identifier.issn1020-3397EN
dc.identifier.otherhttp://applications.emro.who.int/emhj/0904/9_4_2003_548_558.pdfEN
dc.identifier.urihttps://apps.who.int/iris/handle/10665/119307
dc.description548-558EN
dc.description.abstractEnvironmental 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 discussedEN
dc.language.isoenEN
dc.subjectAgricultureEN
dc.subjectAnophelesEN
dc.subjectClimateEN
dc.subjectDemographyEN
dc.subjectDiscriminant AnalysisEN
dc.subjectEpidemiologic MethodsEN
dc.subjectFresh WaterEN
dc.subjectInsect VectorsEN
dc.subjectNeeds AssessmentEN
dc.subjectPopulation SurveillanceEN
dc.subjectSocioeconomic FactorsEN
dc.subject.meshGeographic Information SystemsEN
dc.titleGIS-based prediction of malaria risk in EgyptEN
dc.relation.ispartofjournalEMHJ - Eastern Mediterranean Health Journal, 9 (‎4)‎, 548-558, 2003


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