ANALISIS PENGARUH FAKTOR RISIKO PENYAKIT PNEUMONIA TERHADAP ANGKA MORTALITAS BAYI DAN BALITA MENGGUNAKAN REGRESI POISSON DAN REGRESI BINOMIAL NEGATIF (Studi Kasus : Provinsi Jawa Barat)

Abstract

Pneumonia is an acute infectious disease that attacks lungs caused by viruses, bacteria or fungi. This infection can be life-threatening for anyone, especially infants, children and people aged 65 years. In 2020 in West Java Province infant and toddler deaths due to pneumonia reached 122 cases. This study aims to analyze the factors that influence infant and under-five mortality rates by comparing Poisson regression and negative binomial regression, as well as modeling significant factors. The handling of overdispersion cases in Poisson regression can be done with alternative methods, one of which is the negative binomial regression method. This study uses secondary data obtained from the Health Profile of West Java Province 2020. The results of the study show that negative binomial regression handles overdispersion cases in data on the number of infant and under-five deaths due to pneumonia in West Java Province in 2020. Factors that influence infant mortality rates and toddlers due to pneumonia are low birth weight babies (X₂) and population density (X₄).