A geographic Information System (GIS) is an important tool for monitoring phenomena in space. In addition to studying diseases over time, this system helps us to study geographic distributions of diseases. The known global center with leishmaniosis disease is almost entirely between 28- 42 degrees north latitudes. In research on this disease, a clearer picture of the process of changes and spatial distribution of disease can be provided by identifying risky cores and important transmission factors. The risky time and place can also be predicted by using climatological data. In this applied study, ArcGIS prepared the disease zoning plan in Isfahan province. Then, the relationship between climatic parameters and disease cases was investigated using SPSS. The results showed that the temperature parameter has a reverse relation with the number of diseases and directly with the moisture and precipitation. In overlapping the map of disease centers with an interpolation map of temperature, humidity, precipitation, topography and vegetation in Isfahan province, it was observed that in places with a temperature range of 14-17 ֩ C and relative humidity of 36-39% and are among the low precipitation, the prevalence of leishmaniosis disease is more.
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