Evidence map›Paper›PMID 41996355›Full record

ArticlePLOS global public health2026

Spatial analysis of under-five children mortality and associated determinants in Ghana: Mapping regional disparities for targeted interventions.

Abdul-Karim Iddrisu, Richard Socrate Adzesi, Abubakar Iddrisu Siddiq

Abstract read
In one paragraph

Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 authors.

Abdul-Karim IddrisuDepartment of Statistics, Demography and Population Studies, Faculty of Natural and Applied Sciences, University of Botswana, Gaborone, Botswana.ORCID https://orcid.org/0000-0002-6751-2516
Richard Socrate AdzesiDepartment of Statistics and Actuarial Science, School of Physical and Mathematical Sciences, University of Ghana, Accra, Ghana.ORCID https://orcid.org/0009-0005-3999-633X
Abubakar Iddrisu SiddiqDepartment of Public Health, Faculty of Medical Science, Presbyterian University, Asante Akyem Agogo, Ghana.ORCID https://orcid.org/0009-0008-4143-4426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Child mortality is a critical measure of healthcare performance, with Sustainable Development Goal 3.2 targeting reductions in neonatal and under-five mortality to 12 and 25 deaths per 1,000 live births, respectively, by 2030. However, Ghana's child mortality rate remains high at 32 deaths per 1,000 live births, with significant regional disparities driven by healthcare access and economic inequalities. This research develops risk maps to identify high-risk regions and determinants, providing valuable insights for targeted interventions to reduce child mortality. We analyzed under-five mortality (U5MR) in Ghana (2022) using data from the 2022 Ghana Demographic and Health Survey. Crude death rates (per 100 live births) were calculated and smoothed with Global Empirical Bayesian (GEB) and Local Empirical Bayesian (LEB) methods. Spatial dependence and clustering were evaluated using Global Moran's I, Local Indicators of Spatial Association (LISA), and Getis-Ord statistics, and SaTScan statistic. Spatial associations between U5MR and its determinants were assessed using bivariate LISA. Predictor importance was quantified using Gradient Boosting, a nonparametric ensemble learning approach, with interpretability enhanced by SHapley Additive exPlanations (SHAP), including feature importance rankings, partial dependence, and waterfall plots. The Bayesian spatial model, Besag-York-Mollié (BYM2) was also used to further study spatial pattern of child mortality risk in Ghana. In 2022, Ghana's national under-five mortality rate (U5MR) was 6.4 per 100 live births, with marked regional disparities. Oti, Northern, and Savannah recorded the highest risks, while Greater Accra and Ahafo had the lowest. Spatial analyses (GEB, LEB, SaTScan, LISA, Getis-Ord Gi*) consistently identified high-risk clusters in the northern belt, with a 27% elevated risk in a cluster spanning Oti, Northern, Bono East, and Volta. ANC coverage was the strongest predictor, explaining over 75% of U5MR variation, while caesarean rates also showed strong spatial associations. Persistently high U5MR in high-coverage regions points to gaps in quality of care and underlying structural inequities. Economic and governance factors were less influential, highlighting the critical need for targeted maternal and child health interventions in high-burden areas. The persistent regional disparities in under-five mortality in Ghana, particularly the elevated risks in the northern belt, highlight urgent equity challenges in maternal and child health. Despite national progress, high-risk regions remain underserved in terms of both access to and quality of health services. Antenatal care coverage emerged as the most influential determinant of mortality risk, reinforcing the need to prioritize maternal service delivery in disadvantaged areas. Policy efforts should move beyond national averages to implement region-specific strategies strengthening primary healthcare systems, addressing quality-of-care gaps, and tackling structural barriers such as rural inaccessibility. A more targeted and spatially-informed approach is essential to achieving equitable child survival outcomes across Ghana.

Identifiers

PMID41996355
PMCPMC13089719

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.