Pendekatan Model Spasial dan Global untuk Mendeteksi Penyebab Kasus Demam Berdarah Dengue di Indonesia
DOI:
https://doi.org/10.17509/p4fb2643Keywords:
Dengue fever, Geographically weighted regression, Proper sanitation, Suitable settlementsAbstract
Dengue fever is a viral infection that can cause death and remains a major public health concern in Indonesia. The variation in dengue cases across regions indicates differing environmental factors, requiring an approach capable of capturing their spatial patterns. This study employs the Geographically Weighted Regression (GWR) method to analyze the influence of the percentage of adequate housing and the percentage of households with access to proper sanitation on the number of dengue. The results show that the distribution of suitable settlements, proper sanitation, and dengue cases exhibits uneven spatial patterns across Indonesia. The OLS model is insufficient to describe the relationships between variables in a consistent manner, whereas the GWR model indicates the presence of strong spatial heterogeneity, particularly with high positive coefficients in densely populated areas such as Java. These findings indicate that the effects of suitable settlements and proper sanitation on dengue incidence are location-specific, suggesting that environmental health interventions should be designed to the characteristics of each region.
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