Spatial Autocorrelation of Dengue in Relation to Population Density in Balangan District, South Kalimantan Indonesia: An Ecological Study Muhammad Rasyid Ridha1*, Ririh Yudhastuti2, Norjanah3, Guntur Bagus Pamungkas3, Sri Listyarini3, Untung Norleyandi4
1. Doctoral Program of Public Health, Faculty of Public Health, Universitas Airlangga, Surabaya-
2. Faculty of Public Health, Universitas Airlangga, Surabaya-
3. Urban and Regional Planning Study Program, Faculty of Science and Technology, Universitas Terbuka, Indonesia
4. Balangan Health Office, South Kalimantan Province, Indonesia
Abstract
Background: Cases of Dengue in Balangan Regency have the 2nd highest Incidence Rate (IR) in South Kalimantan of 126.64 per 100,000 population.
Purpose: This study aims to determine distribution patterns and perform spatial analysis of dengue with population density .
Methods: Secondary data on dengue cases and population density were analyzed in a time series and Spatial Autocorrelation for 2017-2021 using spatial analysis methods and statistical tests using QGIS 3.22.10, GeoDA version 1.16, and IBM SPSS version 25.
Results: Our findings show that high dengue is in areas with high densities. also high. Based on spatial analysis, dengue cases have a positive spatial relationship in 2017-2019 and a negative spatial relationship in 2020-2021, where dengue cases have a distribution pattern that is not clustered (spread). Six villages are categorized as high-high. A simple linear test shows that there is an effect of population density on the incidence of dengue.
Conclusion: Monitoring in areas with high population density using spatial analysis is required in early detection and planning activities by the local Health authorities.