Chapters authored
Level and Determinant of Child Mortality Rate in Ethiopia
Background: One of the objectives of the Sustainable Development Goals (SDG) is to diminish the under-five mortality rate and improvement in maternal health. This study aims to identify factors that affect under-five mortality based on the 2016 EDHS dataset using the multilevel count regression model. Method: The EDHS data have a two-level hierarchical structure, with 14,370 women nested within 11 geographical regions. Multilevel count models were employed to predict the outcomes. Results: The data were found to have excess zeros (53.7%); the variance (1.697) is higher than its mean (0.90). Among families of count models, the HNB model was found to be a better fit for the dataset than the others. The study revealed that a child of multiple births is 1.45 more likely to die as compared with a single birth. Babies delivered in the private sector are a 0.65 lower risk of under-five mortality compared to the babies delivered at home. Conclusion: Vaccination of child, family size, age of mother, antenatal visit, birth interval, birth order, contraceptive used, father education level, mother education level, father occupation, place of delivery, child twin, age first birth and religion were significantly associated with under-five mortality. The Ministry of Health should work properly to raise the awareness of parents for vaccination, family planning services and efforts should be made to improve the parental educational level.
Part of the book: Mortality Rates in Middle and Low-Income Countries