Count regression modelling of under-five child mortality in SNNPRS, Ethiopia
Woldeselassie Azige Alito, Azimach Ginjo Girmma
Child mortality, also known as under-five child mortality refers to the death of infants and children under age of five. The objective of this study was to identify the determinants of under-five child mortality among married women in SNNPRS, which is one of the nine regions in the country, Ethiopia. The data used in this study was taken from 2011 Ethiopia Demographic and Health Surveys (EDHS, which was conducted by Central Statistical Agency (CSA). The total number of mothers from SNNPRS included in the survey was 1614. In terms of AIC, Vuong’s and likelihood-ratio test, ZINB regression model is better than other count models to predict the probability and determinants of the number of child death. The influences of some demographic, environmental and socioeconomic factors on child death were identified. The results show that among socioeconomic determinants: mother’s educational level, household size, number of under-five children in household, mother’s working status and wealth status of household are the most important determinants for child mortality. Other most important variables which were found to be statistically significant with under-five child mortality are current age of mother, mother age at first birth and type of toilet facility. Among variables included in zero-inflated part of count models, mother educational level, mother’s age at first birth, wealth index and mother’s working status were found to be statistically significant factors for mother’s who have not experienced under-five child mortality in her life time.