Evidence map›Paper›PMID 41107364›Full record

ArticleScientific reports2025

Decomposing the gap in under-five mortality determinants between the low- and high-risk regions of Nigeria.

Sunday A Adedini, Elhakim Adekunle Ibrahim, Hassan Seun Ogunwemimo, Oluwarotimi Samuel Oladele, Sunday Matthew Abatan, Paul O Adekola

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sunday A AdediniDemography and Social Statistics Department, Faculty of Social Sciences, Federal University Oye-Ekiti, Oye-Ekiti, Ekiti State, Nigeria. sunday.adedini@fuoye.edu.ng.
Elhakim Adekunle IbrahimDepartment of Public Health, College for Health, Community and Policy, University of Texas at San Antonio, San Antonio, USA.
Hassan Seun OgunwemimoDemography and Social Statistics Department, Faculty of Social Sciences, Federal University Oye-Ekiti, Oye-Ekiti, Ekiti State, Nigeria.
Oluwarotimi Samuel OladeleDemography and Social Statistics Department, Faculty of Social Sciences, Federal University Oye-Ekiti, Oye-Ekiti, Ekiti State, Nigeria.
Sunday Matthew AbatanDemography and Social Statistics Department, Faculty of Social Sciences, Federal University Oye-Ekiti, Oye-Ekiti, Ekiti State, Nigeria.
Paul O AdekolaDepartment of Population, Family and Reproductive Health, School of Public Health, University of Medical Sciences, Ondo City, Nigeria.

Funding

Science for Africa Foundation POS-24-10
6 · The paper itself

Abstract

Nigeria has the highest burden of under-five mortality (U5M) in the world and contributes 17% of the global childhood deaths. The high national average of U5M in Nigeria is driven by the rates in some regions of the country. This study quantifies the contributions of socioeconomic, bio-demographic, and health-related factors in explaining the gaps in U5M between the country's low-risk regions (LRR) and high-risk regions (HRR). The study performed spatial analysis (using Local Moran's I spatial analysis) and Blinder-Oaxaca decomposition analysis of the gap in U5M determinants between the LRR and HRR on a sample of children born five years before the 2018 Nigeria Demographic and Health Survey (n = 32,234). Spatial analysis shows that the North-west and parts of the North-east regions were hotspots for U5M, while the South-west and parts of the South-east were coldspots. Results from the decomposition analysis revealed a prevalence of 6.1% in LRR compared with 11.3% in HRR. This translates to 58.9% higher U5M in HRR relative to LRR. The study concludes that interventions aimed at enhancing factors like maternal education, access to economic resources, family planning uptake, and increasing birth intervals in HRR could be effective in reducing high U5M in Nigeria.

Indexed as

Child MortalityInfant MortalityAdultChild, PreschoolFemaleHumansInfantInfant, NewbornMaleNigeriaRisk FactorsSocioeconomic FactorsSpatial AnalysisDecomposition analysisHigh-risk regionsLow-risk regionsNigeriaUnder-five mortality

Identifiers

PMID41107364
PMCPMC12534415

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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.