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7 References Ghazban F. Bioenvironmental Geology. 2 nd ed. Tehran: Tehran University; 2003: 440. [in Persian] 2 Hoshvar Z. Introduction to Medical Geography of Iran. st ed. Tehran: Jahade Daneshgahi; 986: 298. [in Persian] 3 Burrough PA. Principle of Geographic Information Systems for land Resources Assessment. New York: Oxford University Press; 986: Goodchild M. The Health Geodatabase Model. Progress report, Santa Barbara: University of California; Keola S, Tokunaga M, Tripathi NK, Wisa W. Spatial Surveillance of Epidemiological Disease, A Case Study in Ayutthaya Province. Thailand: GIS development magazine 2002; 6 (2): Masoumi Z. (dissertation). Employing GIS in monitoring and disease management. Khaje Nasireddin Toosi University of Technology: Tehran; [in Persian] 7 Beaglehole R, Bonita R, Kjellstrom T. Basic epidemiology. Translated by; Janghorbani M, Zhiyanpour M. Ministry of Health and Medical Education: Iran, Tehran; 992: 300. [in Persian] 8 Hoshvar Z. Geographical Pathology of Iran: Introduction and Principle. Mashhad: Jahade Daneshgahi; 2002; (): 264. [in Persian] 9 Bayatani A, Sadeghi A. Spatial analysis of effective environmental factors on Cutaneous leishmaniasis In Iran using GIS. A report to Ministry of Health and Medical Education: Iran, Tehran; 2009: 89. [in Persian]

8 65 Spatial Analysis of Environmental Factors of Cutaneous Leishmaniasis in Iran Using GIS Bayatani A (MA), Sadeghi A (MA) Abstract Department of Remote Sensing and GIS, Earth Sciences Faculty, Shahid Beheshi University, Tehran, Iran Received: 2 Oct 20, Accepted: 3 Jul 202 Introduction: Identifying pathogenic factors, their spatial pattern of transmission, geographical distribution of diseases, and environmental factors affecting their severity have significant contributions to public health and disease management. The precise management and appropriate clinical decisionmaking is only possible through analysis of a huge amount of spatial data. Geographic Information System (GIS) as an extremely useful tool for analyzing complex data can play a vital role in health and treatment sectors. Method: This study aimed to investigate the relationship between environmental factors and geographical distribution of Cutaneous Leishmaniasis in Iran, using GIS framework. First, conceptual model of study was defined. In the next stage, spatial information layers and disease data were collected. Finally, high risk geographical areas were identified using statistical and spatial analysis. Results: In this study, the Boolean Logic Model was used in order to integrate information layers, visualizing of spatial distribution of disease and designing map of highrisk areas. In this map, Isfahan, Razavi Khorasan, Markazi, Fars, Southern Khorasan, Kerman, Ghom, Tehran, Ghazvin and Semnan provinces were identified, respectively, as epidemic areas of Cutaneous Leishmaniasis in Iran. Conclusion: Priority of pathogenic factors and finding spatial distribution of diseases are possible by combination of statistical and spatial analysis and modeling in the GIS environment. It can be used as a very useful tool in management and decisionmaking in public health. Key words: Geographic Information System (GIS), cutaneous leishmaniasis, spatial analysis Please cite this article as follows: Bayatani A, Sadeghi A. Spatial Analysis of Environmental Factors of Cutaneous Leishmaniasis in Iran using GIS. Hakim Research Journal 202; 5(2): Corresponding Author: Azadi Sq. Meraj Ave. Geological Survey of Iran (GSI), Remote sensing group, Tehran. Iran. Tel: , Cell: , a.bayatani@yahoo.com 9