The spread of HIV/AIDS in Central Sulawesi is centralized and spreads in certain districts or cities so that there are indications of a spatial effect in the spread of HIV/AIDS. Geographically Weighted Negative Binomial Regression (GWNBR) is one of the right solutions for modelling the relationship between response variables and explanatory variables on counted data that is local for each observation location with overdispersion and the influence of location or spatial aspects on the data. Spatial aspects can be caused by geographic, socio-cultural, economic conditions, as well as different people’s knowledge between regions. Overdispersion is a condition where the variance of the data is greater than the average data. This study aims to determine the GWNBR model and the factors that influence the number of HIV/AIDS cases in the province of Central Sulawesi. The obtained result based on GWNBR model shown that the districts with the most number of districts that have the most significant similarities in variables are divided into nine subdistrict groups. Factor affecting the number of HIV/AIDS cases in Central Sulawesi Province in 2018 was population density.