HIV/AIDS remains a global health emergency. In the last five years, East Java Province has always occupied the first position in the increase in the number of HIV/AIDS cases in Indonesia. The purpose of this study is to determine the variables that significantly affect the increase in the number of new HIV/AIDS cases in East Java Province in 2021 using the Geographically Weighted Negative Binomial Regression analysis method to overcome overdispersion and spatial effects on data. The independent variables studied were the percentage of condom users, population density, percentage of poor people, average years of schooling, percentage of villages with crimes of drug distribution and abuse, ratio of the number of health facilities per 10.000 population, and ratio of the number of health workers per 10.000 population. The data came from the publications of the Health Office and the Central Bureau of Statistics of East Java Province. The results showed that the distribution of the number of new HIV/AIDS cases in East Java in 2021 tended to cluster. In addition, four groups of districts/cities were formed based on the similarity of independent variables that had a significant effect.
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