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Prevalence and associated factors of neonatal mortality in Ethiopia
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 mortal...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287398/ https://www.ncbi.nlm.nih.gov/pubmed/35840626 http://dx.doi.org/10.1038/s41598-022-16461-3 |
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author | Alamirew, Walelgn Gete Belay, Denekew Bitew Zeru, Melkamu A. Derebe, Muluwerk Ayele Adegeh, Senait Cherie |
author_facet | Alamirew, Walelgn Gete Belay, Denekew Bitew Zeru, Melkamu A. Derebe, Muluwerk Ayele Adegeh, Senait Cherie |
author_sort | Alamirew, Walelgn Gete |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9287398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92873982022-07-17 Prevalence and associated factors of neonatal mortality in Ethiopia Alamirew, Walelgn Gete Belay, Denekew Bitew Zeru, Melkamu A. Derebe, Muluwerk Ayele Adegeh, Senait Cherie Sci Rep Article 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. Nature Publishing Group UK 2022-07-15 /pmc/articles/PMC9287398/ /pubmed/35840626 http://dx.doi.org/10.1038/s41598-022-16461-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Alamirew, Walelgn Gete Belay, Denekew Bitew Zeru, Melkamu A. Derebe, Muluwerk Ayele Adegeh, Senait Cherie Prevalence and associated factors of neonatal mortality in Ethiopia |
title | Prevalence and associated factors of neonatal mortality in Ethiopia |
title_full | Prevalence and associated factors of neonatal mortality in Ethiopia |
title_fullStr | Prevalence and associated factors of neonatal mortality in Ethiopia |
title_full_unstemmed | Prevalence and associated factors of neonatal mortality in Ethiopia |
title_short | Prevalence and associated factors of neonatal mortality in Ethiopia |
title_sort | prevalence and associated factors of neonatal mortality in ethiopia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287398/ https://www.ncbi.nlm.nih.gov/pubmed/35840626 http://dx.doi.org/10.1038/s41598-022-16461-3 |
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