Geographic Information System in Malaria Surveillance: Mosquito Breeding and Imported Cases in Israel, 1992

Uriel KitronCollege of Veterinary Medicine, University of Illinois, Entomological Laboratory, Department of Epidemiology, and District Public Health Laboratory, Ministry of Health, Department of Pest Control, Ministry of the Environment, Urbana, Illinois, Israel

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Hedva PenerCollege of Veterinary Medicine, University of Illinois, Entomological Laboratory, Department of Epidemiology, and District Public Health Laboratory, Ministry of Health, Department of Pest Control, Ministry of the Environment, Urbana, Illinois, Israel

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Corina CostinCollege of Veterinary Medicine, University of Illinois, Entomological Laboratory, Department of Epidemiology, and District Public Health Laboratory, Ministry of Health, Department of Pest Control, Ministry of the Environment, Urbana, Illinois, Israel

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Laor OrshanCollege of Veterinary Medicine, University of Illinois, Entomological Laboratory, Department of Epidemiology, and District Public Health Laboratory, Ministry of Health, Department of Pest Control, Ministry of the Environment, Urbana, Illinois, Israel

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Zalman GreenbergCollege of Veterinary Medicine, University of Illinois, Entomological Laboratory, Department of Epidemiology, and District Public Health Laboratory, Ministry of Health, Department of Pest Control, Ministry of the Environment, Urbana, Illinois, Israel

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Uri ShalomCollege of Veterinary Medicine, University of Illinois, Entomological Laboratory, Department of Epidemiology, and District Public Health Laboratory, Ministry of Health, Department of Pest Control, Ministry of the Environment, Urbana, Illinois, Israel

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Although a significant resurgence of malaria in Israel is unlikely at present, the risk for a localized outbreak of malaria cases due to infection of local anopheline mosquitoes by imported cases does exist. A national computerized surveillance system of breeding sites of Anopheles mosquitoes and imported malaria cases was established in 1992 using a geographic information system (GIS). Distances between population centers and breeding sites were calculated, and maps associating epidemiologic and entomologic data were generated. Risk of malaria transmission was assessed with consideration of vectorial capacity and flight range of each Anopheles species. The GIS-based surveillance system ensures that if a localized outbreak does occur, it will be associated rapidly with a likely breeding site, a specific Anopheles vector, and a probable human source, so that prompt control measures can be most efficiently targeted. This cost-effective, GIS-based surveillance system can be expanded and adapted for countries with indigenous malaria transmission.

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