Spatial Analysis of DHF Cases in Yogyakarta City Based on Population Density and Altitude (2017-2018)

Abstract

Aims: This study aims to determine the relationship between population density and altitude of the territory and DHF incidence in Yogyakarta City in 2017-2018.
 Study Design: The study was designed as an observational cross-sectional study.
 Place and Duration of Study: This study was conducted in Yogyakarta from 2017 to 2018. Methodology: This quantitative study employs an analytic observational cross-sectional design. Moran's I and LISA tests were used to analyze the data.
 Results: Based on bivariate Moran's Scatterplot analysis, the density of residents with dengue incidence showed negative spatial autocorrelation (I=-0.308), and the altitude with dengue incidence showed negative spatial autocorrelation (I=-0.128), indicating that the majority of the sub-district was scattered in quadrants II and IV. The LISA density bivariate test results on residents with dengue incidence revealed that the Gondomanan Sub-district has positive autocorrelation (li= 0.30) with a Low-Low quadrant and statistical significance (P-Value=0.040.05). In contrast, Kotagede Sub-district has negative autocorrelation (li=-2.31) with a Low-High quadrant and statistical significance (P-Value=0.000.05). Gondomanan Sub-District has positive autocorrelation (li=0.67) at the Low-Low quadrant and statistical significance (P-Value=0.03 0.05), whereas Kotagede Sub-District has negative autocorrelation (li=-2.86) at the Low-High quadrant and statistical significance (P-Value=0.000.05).
 Conclusion: Density residents have a negative autocorrelation with the incidence of DHF in Yogyakarta City. Local spatial density residents with DHF cases were found in the Gondomanan Sub-District with positive spatial autocorrelation. At the same time, Kotagede Sub-District had negative spatial autocorrelation in contrast to an altitude with a global spatial connection toward DHF incidence in Yogyakarta with negative autocorrelation.