دورية أكاديمية
Prevalence and associated factors of neonatal mortality in Ethiopia.
| العنوان: | Prevalence and associated factors of neonatal mortality in Ethiopia. |
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| المؤلفون: | Alamirew WG; Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia., Belay DB; Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia., Zeru MA; Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia. melkamu.ayana@gmail.com., Derebe MA; Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia., Adegeh SC; Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia. |
| المصدر: | Scientific reports [Sci Rep] 2022 Jul 15; Vol. 12 (1), pp. 12124. Date of Electronic Publication: 2022 Jul 15. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Nature Publishing Group, copyright 2011- |
| مواضيع طبية MeSH: | Infant Mortality* , Perinatal Death*, Child ; Ethiopia/epidemiology ; Female ; Humans ; Infant ; Infant, Newborn ; Pregnancy ; Prenatal Care ; Prevalence ; Risk Factors |
| مستخلص: | Neonatal mortality is the death of a live-born baby within the first 28 days of birth. For the selected households, neonatal mortality was collected from children aged 0-28 days and women aged 15-49. The neonatal period is a significant 4-week period in human life because it carries a greater mortality risk. To identify the determinant factors of neonatal mortality in Ethiopia based on EDHS 2016 data with the application of count regression models. In this study, all neonates in Ethiopia were born within the 5 years preceding EDHS 2016 of the source population in the selected EAs from September to December 2015. Count regression models were used to analyze the data. A total of 10,641 live-born neonates within the previous 5 years of EDHS 2016 had neonatal mortality of women aged 15-49, which was considered in the study to be 7193. The data were found to have excess zeros (96.6%), and the variance (0.052) was higher than its mean (0.04). The count regression model (ZINB) was best fitted to the data with maximum likelihood parameter estimation methods. The average neonatal mortality difference in multiple births was increased by IRR = 8.53 times compared with a single birth. The average number of neonatal deaths experienced during breastfeeding was lower (IRR = 0.38) than that experienced by mothers who did not experience breastfeeding their child. The average neonatal mortality difference in rural residences was increased by IRR = 3.99 times compared to urban mothers' residences. In this study, the prevalence of Neonatal mortality in Ethiopia was higher. For selected ZINB count regression models of explanatory variables, such as multiple birth types, having rural residence factors of neonatal mortality increased the risk of death. However, having early breastfeeding, a female household head, and antenatal visits (1-4) and (5-10) during pregnancy decrease the risk of neonatal death. (© 2022. The Author(s).) |
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| تواريخ الأحداث: | Date Created: 20220715 Date Completed: 20220719 Latest Revision: 20220923 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC9287398 |
| DOI: | 10.1038/s41598-022-16461-3 |
| PMID: | 35840626 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2045-2322 |
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| DOI: | 10.1038/s41598-022-16461-3 |