Comparative analysis of predictors of child mortality in Ethiopia via frequentist and Bayesian approaches

Abstract

Abstract The child mortality rate is a leading factor in the well-being and development of a nation. It measures the quality of life for a given population. This study aimed to determine the effects of under-five child mortality in Ethiopia. The authors used a cross-sectional study design via the 2019 Ethiopian Demographic and Health Survey. For our study, we used 3837 births recorded by mothers in seven regions of Ethiopia. In this study, the author employed the Bayesian and classical logistic regression models. The study found that the household size, number of under-five children, Sex of child, twin, births in the last five years, and breastfeeding status are significant predictors of child mortality in Ethiopia. Consequently, governmental, non-governmental, and other concerned bodies should focus on targeted healthcare interventions for mothers and children by updating their health intervention policies. In addition, improved health services are needed for better health care for children and mothers. Education should be given to mothers during pregnancy and after birth. This helps improve health for mothers and children, along with addressing other risk factors.