Evidence map›Paper›PMID 37228931›Full record

ArticleAnnals of medicine and surgery (2012)2023

Understanding correlates of infant mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data.

Kebede Lulu Adebe, Senahara Korsa Wake, Sagni Daraje Yadata, Ketema Bedane Gondol, Gizachew Gobebo Mekebo, Temesgen Senbeto Wolde, Terefa Bechera, Belema Hailu Regesa, Agassa Galdassa, Kumera Dereje Yadata

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Article in Annals of medicine and surgery (2012), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kebede Lulu AdebeDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ambo.
Senahara Korsa WakeDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ambo.ORCID 0000-0002-9528-9139
Sagni Daraje YadataDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ambo.
Ketema Bedane GondolDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ambo.
Gizachew Gobebo MekeboDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ambo.ORCID 0000-0002-0094-7304
Temesgen Senbeto WoldeDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ambo.
Terefa BecheraDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ambo.
Belema Hailu RegesaDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ambo.
Agassa GaldassaDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ambo.
Kumera Dereje YadataDepartment of Statistics, College of Natural and Computational Science, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infant mortality is one of the most sensitive and commonly used indicators of the social and economic development of a nation. Ethiopia is among the African countries with high infant mortality rates. This study aimed to understand and identify correlates of infant mortality in Ethiopia. Methods: The data, used in this study, were drawn from 2019 Ethiopian Demographic and Health Survey data. The multivariable Cox proportional hazard analysis was done to identify the correlates of infant mortality. Results: Infant mortality rate was high in the earlier age of months. Males, higher birth order and rural residences were at higher risk of dying before first birthday compared with respective reference groups whereas health facility deliveries, single births, rich wealth indices and older maternal age were at lower risk of dying before first birthday compared with respective reference groups. Conclusion: The study found that age of mother, place of residence, wealth index, birth order, type of birth, child sex and place of delivery were statistically significant in affecting the survival of the infants. Thus, health facility deliveries should be encouraged and multiple birth infants should be given special care. Furthermore, younger mothers should better care of their babies to improve the survival of infants in Ethiopia.

Indexed as

2019 EMDHScorrelatescox proportional hazard modelethiopiainfant mortality

Identifiers

PMID37228931
PMCPMC10205202

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.