ArticlePloS one2022
Determining factors of neonatal mortality in Ethiopia: An investigation from the 2019 Ethiopia Mini Demographic and Health Survey.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Pooled it
- Neonatal Mortality and Its Associated Factors Among Neonates in Ethiopia: A Systematic Review and Meta-Analysis.Public health challenges · 2026Article
- A machine learning approach to identify key socio-economic and demographic factors associated with neonatal mortality in Ethiopia.BMC public health · 2026Article
- Interpretable prediction of neonatal mortality and its key predictors using machine learning and SHAP analysis.BMC medical informatics and decision making · 2026Article
- Spatiotemporal variation and decomposition of early neonatal mortality in Ethiopia using demographic health survey data.Scientific reports · 2026Article
- Time-to-death and its predictors among under five children in the developing regions of ethiopia: a cross sectional study.BMC pediatrics · 2025Article
- Prevalence and associated factors of thrombocytopenia among neonates in Northwest Amhara region comprehensive specialized hospitals, Ethiopia: a cross sectional study.Scientific reports · 2025Article
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundNeonatal mortality is the probability of dying during the first 28 days of life. Of approximately 5 million children who die in the first year of life in the world, about 3 million are within their first 28 days of birth. In Ethiopia, the neonatal mortality rate is high about 37 per 1000 live births, and the factors are not well documented. Then, this study aimed to determine the key factors that have a significant influence on neonatal mortality.
methodsA total of 5753 neonatal mortality-related data were obtained from Ethiopia Mini Demographic and Health Survey (2019) data. A frequency distribution to summarize the overall data and Binary Logistic Regression to identify the subset of significant risk factors for neonatal mortality were applied to analyze the data.
resultsAn estimated 36 per 1000 live children had died before the first 28 days, with the highest in the Benishangul Gumuz region (15.9%) and the lowest in Addis Ababa (2.4%). From the Binary logistic regression analysis, the odds ratio and 95% CI of age 25-34 (OR = 0.263, 95% CI: 0.106-0.653), Afar (OR = 0.384, 95% CI: 0.167-0.884), SNNPR (OR = 0.265, 95% CI: 0.098-0.720), Addis Ababa (OR = 5.741, 95% CI: 1.115-29.566), Urban (OR = 0.253, 95% CI: 0.090, 0.709), toilet facility (OR = 0.603, 95% CI: 0.404-0.900), single birth (OR = 0.261, 95% CI: 0.138-0.495), poorest (OR = 10.573, 95% CI: 2.166-51.615), poorer (OR = 19.573, 95% CI: 4.171-91.848), never breastfed (OR = 35.939, 95% CI: 25.193-51.268), public health delivery (OR = 0.302, 95% CI: 0.106-0.859), private health facility (OR = 0.269, 95% CI: 0.095-0.760).
conclusionAll regional states of Ethiopia, specially Benishangul Gumuz, and the Somali region must take remedial actions on public health policy, design strategies to improve facilities, and improve the capacities of stakeholders living in their region toward those major factors affecting neonatal mortality in the country.
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