Understanding local determinants of dengue: a geographically weighted panel regression approach in Yogyakarta, Indonesia.

ABSTRACT:

Background

Dengue remains a major public health concern in tropical regions, including Yogyakarta, Indonesia. Understanding its spatiotemporal patterns and determinants is crucial for effective prevention strategies. This study explores the spatiotemporal determinants of dengue incidence and evaluates the spatial variability of predictors using a geographically weighted panel regression (GWPR) approach.

Methods

This ecological study applied a spatiotemporal approach, analyzing dengue incidence across 78 sub-districts in Yogyakarta from 2017 to 2022. The dataset included meteorological variables (rainfall, temperature, humidity, wind speed, and atmospheric pressure), sociodemographic data (population density), and land-use characteristics (built-up areas, crops, trees, water

SUBMITTER: Salim MF 

PROVIDER: S-EPMC11995575 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature