Title :
GIS-based risk map analysis of Leishmaniasis disease in Isfahan, Iran
Author :
Amoli, Golnush Masghati
Author_Institution :
Fac. of Eng., Univ. Putra Malaysia, Ehsan, Malaysia
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.
Keywords :
decision making; diseases; fuzzy set theory; geographic information systems; health care; regression analysis; risk analysis; GIS based risk map analysis; Iran; Isfahan; Leishmaniasis disease; Leishmaniasis risk prediction; disease distribution risk level; fuzzy AHP weighting method; geographical information system; geographically weighted regression; public health department; regression analysis; socio environmental factors; urban factor; Diseases; Environmental factors; Geographic Information Systems; Soil; Urban areas; Vegetation; Vegetation mapping; Fuzzy Sets and Logic; Geographic Information System; Geographically Weighted Regression; Multi-Criteria Analysis; Risk Map Analysis;
Conference_Titel :
Business, Engineering and Industrial Applications (ISBEIA), 2011 IEEE Symposium on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4577-1548-8
DOI :
10.1109/ISBEIA.2011.6088820
