Geographically weighted regression (GWR) analysis of factors related to dengue Hemorrhagic fever in central java province, Indonesia

The Incidence Rate of DHF in Central Java Province in 2022 increased threefold. Each region has different conditions, it will be difficult to analyze only using global regression analysis. This research aims to analyze the spatial of risk factors associated with DHF cases in Central Java Province. This method used is GWR (Geographically Weighted Regression). The data used are secondary data based on data from the 2023 Indonesian Health Survey and Central Java Statistics Agency. The results show that the GWR model is better than the multiple linear regression model. The R2 value of the GWR model (99.8%) is greater than the R2 of linear regression model (84%). Significant factors in local regression are education, nutritional status, mosquito nest eradication practices, residential density, population density, and rainfall. The conclusion is mosquito nest eradication practices, education and nutritional status are the most influential factors of DHF in Central Java Province.