MODELING THE NUMBER OF DIARRHEA INCIDENTS IN KENDARI USING GENERALIZED POISSON REGRESSION

Abstract

The number of diarrhea incidents in Southeast Sulawesi Province, Indonesia, remains high, especially in the capital city, Kendari.As we can see in 2019 and 2020, there were 5.559 and 6.582 cases of diarrhea, respectively. For this reason, this article aims to address the problem by proposing the application of GeneralizedPoisson Regression (GPR) model. The adoption of GPR model is due to the existing of overdispersion on the dataset. The results of this research show that the population density variable is significant in the data analysis. Which means that the main factor results in high number of diarrhea incidents in Southeast Sulawesi Province is the population density