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Background: Dengue is a viral disease transmitted by Aedes aegypti mosquito. Dengue has become an important public health problem worldwide. It affects tropical and subtropical regions around the world, predominantly in urban and semi urban areas. Dengue outbreaks characteristically have been associated with high rainfall as well as elevated temperatures and humidity. In Malaysia, dengue fever (DF) and dengue haemorrhagic fever (DHF) have shown an increasing trend. This study aimed to map the spatial distributions of dengue cases in Putrajaya through integration of Geographical Information System (GIS) and spatial statistical analyses. Methodology: This study analysed 389 dengue cases from 2013 to 2014 in different precincts in Putrajaya. Data were collected from various government health agencies. Three spatial statistical analyses Moran’s I, Average Nearest Neighbourhood (ANN) and Kernel Density estimation were used to access spatial distribution cases. Results: Analysis showed dengue cases within the district were highly clustered and occurred at an average distance of 264.91 meters. Several locations especially residential areas had been identified as hot spots of dengue cases in the precinct by using kernel density estimation analysis. Conclusion: The study has shown that by integrating spatial analysis using GIS, it is possible to improve the understanding of the distribution of dengue cases within a particular area. GIS and spatial statistical analyses are important in guiding health agencies, epidemiologists, public health officers, town planners and relevant authorities in developing efficient control measures and contingency programmes in identifying and prioritizing their efforts in effective dengue control activities.
Hazrin et al. (Fri,) studied this question.