Ali Mohammadinia - Student at Faculty of Geodesy and Geomatics Eng., K. N. Toosi University of Technology, Valiasr Street, Mirdamad Cross, Tehran 19967-15433, Iran
Abbas Alimohammadi - Teacher at Faculty of Geodesy and Geomatics Eng., K. N. Toosi University of Technology, Valiasr Street, Mirdamad Cross, Tehran 19967-15433, Iran
Roya Habibi - Student at Faculty of Geodesy and Geomatics Eng., K. N. Toosi University of Technology, Valiasr Street, Mirdamad Cross, Tehran 19967-15433, Iran

Leptospirosis is a globally emerging zoonotic disease depending on environmental conditions with social and economic burdens on rural areas. Regarding to worldwide prevalence, animals and humans who are in contact with contaminated water or soil especially at temperate and tropical regions with high rainfall and floods are the mostsignificant targets of this disease. Major hosts of infection are wild and domestic animals that hold pathogenic leptospires. Exposure of humansto the urine of infected animals directly or indirectly is the main way of transmission occurrence. Due to suitable conditions, leptospirosis isendemic in north of Iran (Caspian Region) include Mazandaran, Golestan and especially Guilan provinces. Guilan included a lot ofpaddy fields and farmers and had the most reported cases among all provinces during 2009-2011. In this study, we are going to assess the influence of 9 environmental parameters on leptospirosis occurrence throughout 109 rural districts of Guilan during three years. For thispurpose, spatial statistics approaches such as Geographically Weighted Regression (GWR) and Ordinary Least Squares (OLS) were utilized toinvestigate correlation between number of disease cases and environmental factors. However, assessment results showed bettersuccess of GWR versus OLS as regressions were performed. Finally, due to the economic and health burdens of leptospirosis on rural areas, understanding of effective parameters and their influences are so helpful for decision makers and privacy policies in prevention planning

Infectious disease, GIS, Spatial Statistics, Leptospirosis