Spatial Analisys of Environmental Quality Variability with Dengue Fever (DHF) Cases in DKI Jakarta in 2018-2023

Abstract

This study aims to determine the vulnerability index, spatial autocorrelation and the relationship of environmental factors to the incidence of DHF, environmental factor variables consist of climate (temperature, humidity, rainfall and wind speed), population and larvae Free Index (ABJ) in DKI Jakarta in 2018-2023. Secondary data were collected from the Surveillance of the DKI Jakarta Health Office, the Meteorology, Climatology and Geophysics Agency (BMKG), the Central Statistics Agency (BPS) of DKI Jakarta and the Silantor of the Ministry of Health. The ecological study design used in this study using ArchGIS and SPSS. The vulnerability index was calculated from each variable, spatial autocorrelation (Moran's I) was used to see spatial patterns and the Spearman test to determine the relationship between variables. Nine sub-districts showed a very high DHF vulnerability index (Koja, Tanjung Priok, Kalideres, Cengkareng, Tambora, Kebayoran Lama, Pasar Minggu, Jagakarsa, Duren Sawit and Cakung). The spatial pattern of population distribution and DHF cases were clustered and significant. Population density, DHF Incident Rate and Larvae Free Index (ABJ) showed a random and insignificant pattern. Three climate variables related to DHF cases were humidity, rainfall and wind speed, all climate variability was not related to the Incident Rate (IR). Population was strongly related to DHF cases and was not related to DHF IR. Population density and ABJ were not related to DHF cases and IR. Improvement of the early warning system, strengthening of mosquito nest eradication networks, especially in areas of very high vulnerability, and development of technology.