Abstract: “In recent years, Geographic Information System (GIS) has become popular in the field of epidemiology for the identification of unusual spatial patterns of disease occurrences and monitoring. Over the years, global burden of Dengue Fever has increased drastically. According to WHO (Global Environmental Change, Geneva) report, there is a strong indication of inter-annual variability and link between meteorological factors and infectious diseases such as Dengue Fever and many other vector-borne diseases. Recently, researchers have demonstrated the importance of determining the impact of various meteorological factors on the propagation of the infectious diseases and such impacts will be more pronounced in a climate change scenario. To control the spread of any infectious disease, it is crucial to identify areas with higher disease risk. The present work is aimed at using GIS techniques such as Point Density method and Empirical Bayesian Kriging method to produce optimal spatial distributi”

Keywords: Dengue Fever; Significant; Poisson Regression; Geographic Information System