TEMPORAL AND SPATIAL PATTERNS OF DENGUE GEOGRAPHICAL DISTRIBUTION IN PADANG, INDONESIA

Abstract

Dengue fever (DHF) is an environmentally-based public health problem that is currently a major concern. DHF is a significant health problem in tropical and sub-tropical countries, with 70% of the global burden, countries in Asia are the worst affected. The aim of the study is to describe the relationship of population density, rainfall, and temperature with the incidence of DHF at Padang, Indonesia. The study was analytical descriptive with an ecological study design. The data analysis involved the use of statistical software and QGIS. The data was analyzed univariate and bivariate by Spearman test and then the data is assessed and analyzed to produce vulnerability level using the QGIS application. The results shows that there are 17 village with high vulnerability level, 50 village with medium vulnerability level, and 37 village with low vulnerability level to DHF incidence. According statistical test, the p value rainfall and temperature with DHF incidence is 0.001 and 0.001 (α=0.05) in Padang, respectively. Knowing the distribution of dengue-prone areas, it is hoped that it will make it easier for the Padang City Health Service to take preventive measures and handle DHF cases by prioritizing village with a high level of vulnerability.