{"title":"基于gis的伊朗伊斯法罕利什曼病风险图分析","authors":"Golnush Masghati Amoli","doi":"10.1109/ISBEIA.2011.6088820","DOIUrl":null,"url":null,"abstract":"Prediction of Leishmaniasis risk based on socio-environmental factors and its possible spatial relationships is investigated in a Leishmaniasis endemic area of Isfahan, Iran. The Geographical Information System (GIS) is used to link the spatial and significant socio-environmental indicators with the disease data. Using fuzzy AHP weighting method five classes of risk categories ranging from “very low” to “very high” are identified. Spatial analysis is performed to determine the contribution of several environmental factors to the prevalence of the Leishmaniasis disease, and produce a GIS-based risk map showing the relative disease distribution risk level over the study area.","PeriodicalId":358440,"journal":{"name":"2011 IEEE Symposium on Business, Engineering and Industrial Applications (ISBEIA)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"GIS-based risk map analysis of Leishmaniasis disease in Isfahan, Iran\",\"authors\":\"Golnush Masghati Amoli\",\"doi\":\"10.1109/ISBEIA.2011.6088820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Prediction of Leishmaniasis risk based on socio-environmental factors and its possible spatial relationships is investigated in a Leishmaniasis endemic area of Isfahan, Iran. The Geographical Information System (GIS) is used to link the spatial and significant socio-environmental indicators with the disease data. Using fuzzy AHP weighting method five classes of risk categories ranging from “very low” to “very high” are identified. Spatial analysis is performed to determine the contribution of several environmental factors to the prevalence of the Leishmaniasis disease, and produce a GIS-based risk map showing the relative disease distribution risk level over the study area.\",\"PeriodicalId\":358440,\"journal\":{\"name\":\"2011 IEEE Symposium on Business, Engineering and Industrial Applications (ISBEIA)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Symposium on Business, Engineering and Industrial Applications (ISBEIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISBEIA.2011.6088820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Symposium on Business, Engineering and Industrial Applications (ISBEIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBEIA.2011.6088820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GIS-based risk map analysis of Leishmaniasis disease in Isfahan, Iran
Prediction of Leishmaniasis risk based on socio-environmental factors and its possible spatial relationships is investigated in a Leishmaniasis endemic area of Isfahan, Iran. The Geographical Information System (GIS) is used to link the spatial and significant socio-environmental indicators with the disease data. Using fuzzy AHP weighting method five classes of risk categories ranging from “very low” to “very high” are identified. Spatial analysis is performed to determine the contribution of several environmental factors to the prevalence of the Leishmaniasis disease, and produce a GIS-based risk map showing the relative disease distribution risk level over the study area.
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