PERBANDINGAN GEOGRAPHICALLY WEIGHTED NEGATIVE BINOMIAL REGRESSION DAN GEOGRAPHICALLY WEIGHTED GENERALIZED POISSON REGRESSION UNTUK MENGATASI OVERDISPERSI PADA KASUS PNEUMONIA PADA BALITA DI KABUPATEN LOMBOK TIMUR

Abstract

Based on data released by UNICEF, there were 725,557 cases of pneumonia in toddlers that occurred worldwide in 2021. Pneumonia is an infectious disease that contributes to the largest number of deaths among toddlers in the world in 2021. East Lombok Regency is the region with the highest number of pneumonia cases in toddlers in NTB Province with 4,140 cases throughout 2022. Factors that influence the high rate of pneumonia in toddlers in East Lombok Regency include Food Management Facilities , Public Facilities , clean drinking water facilities, Low Birth Weight Babies (LBW) and Exclusive Breastfeeding. This study uses the Geographically Weighted generalized Poisson Regression (GWGPR) and Geographically Weighted Negative Binomial Regression (GWNBR) methods to overcome Overdispersion and spatial heterogeneity in Pneumonia data in East Lombok in 2022. The results of the analysis show that the GWNBR method is a better method than the GWGPR method in modeling Pneumonia cases in toddlers in East Lombok, this is indicated by the AIC value in the GWNBR model being smaller than the GWGPR model. Based on the results of the GWNBR model estimation, it was found that there were 3 significant variables throughout East Lombok, namely clean drinking water facilities, low birth weight babies and exclusive breastfeeding.