Dengue Hotspot Detection in Bangi, Selangor, Malaysia

Abstract

Abstract Dengue fever has increased dramatically in Malaysia in recent decades and has triggered tremendous public health concerns. This paper addresses the spatial and temporal aspects of Dengue epidemics in Selangor, Bangi. This study aimed to examine spatial diffusion trends and to recognize hotspots in recorded dengue cases. The study used the Malaysia Ministry of Health epidemiological data for dengue cases reported in 2016-2019. These data have been processed and converted into GIS format. The geospatial spread pattern of the 2016, 2017, 2018, and 2019 dengue outbreak was investigated and mapped. The hotspot analysis is shown as points on a map and refers to dengue cases locations in the study area and measures the Getis-Ord Gi statistics for dengue cases in 2016-2019. The related z-scores and p-values are shown spatially in the Bangi region with either a cluster of high or low values. The map produced from data range between -3 (cold spot -99% confidence level) to 3 (hotspot – 99% confidence level) is classified into very low, low, very high, and high dengue fever clustered in the urban area.