Evidence map›Paper›PMID 42242838›Full record

ArticleBMJ global health2026

Geospatial disparities in infant mortality in Ghana: evidence from national data.

Kennedy Mensah Osei, Whiejong Han, Sunjoo Kang, Vasuki Rajaguru, Min Jin Ha

Abstract read
In one paragraph

Article in BMJ global 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

5 authors.

Kennedy Mensah OseiTamale Teaching Hospital, Ghana Ministry of Health, Tamale, Ghana.ORCID 0000-0002-0840-3512
Whiejong HanDepartment of Global Health and Disease Control, Yonsei University Graduate School of Public Health, Seoul, Korea (the Republic of).
Sunjoo KangDepartment of Global Health and Disease Control, Yonsei University Graduate School of Public Health, Seoul, Korea (the Republic of).ORCID 0000-0002-1633-2558
Vasuki RajaguruDepartment of Healthcare Management, Yonsei University Graduate School of Public Health, Seoul, Korea (the Republic of).
Min Jin HaDepartment of Health Informatics and Biostatistics, Yonsei University Graduate School of Public Health, Seoul, Korea (the Republic of) mjha@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfant mortality remains a major public health concern in Ghana, with progress occurring unevenly across population groups and locations. Understanding both the determinants and the spatial distribution of infant deaths is essential for designing targeted interventions and reducing persistent inequalities.

methodsWe analysed nationally representative data from multiple rounds of the Ghana Demographic and Health Surveys, comprising 19 558 infant survivors and 3464 infant deaths. Local Indicators of Spatial Association and kernel density estimation were applied to produce cluster and spatial risk maps, respectively. A shared frailty Cox proportional hazards model, accounting for unobserved heterogeneity at the regional level, was used to estimate adjusted HRs.

resultsInfant mortality exhibited significant spatial autocorrelation, while regional quantile maps revealed distinct yet overlapping geographic patterns for both neonatal and infant mortality. Infant mortality showed substantial clustering. Elevated risks were observed in Upper West, parts of Savannah and Ashanti, whereas lower risks were evident in Greater Accra, North East and Eastern regions. Factors associated with lower hazards included tertiary maternal education (adjusted HR (aHR)=0.66; 95% CI 0.48 to 0.89), health insurance coverage (aHR=0.86; 95% CI 0.80 to 0.94), early initiation of antenatal care (aHR=0.88; 95% CI 0.83 to 0.93) and completion of ≥4 antenatal visits (aHR=0.90; 95% CI 0.82 to 0.98). Socioeconomic gradients were apparent, with infants in relatively richer households experiencing lower mortality hazards. Infant-level characteristics strongly predicted survival, including normal birth weight (aHR=0.60; 95% CI 0.45 to 0.75), breastfeeding (aHR=0.39; 95% CI 0.31 to 0.47), longer birth intervals (aHR=0.63; 95% CI 0.57 to 0.70) and vaccination (aHR=0.42; 95% CI 0.32 to 0.53).

conclusionsInfant mortality in Ghana displays marked spatial heterogeneity and regional-level effects. Strengthening maternal and newborn services in hot-spot regions, expanding early antenatal and postnatal care and targeting high-risk maternal profiles may accelerate progress toward equitable child survival.

Indexed as

Infant MortalitySpatial AnalysisFemaleGhanaHealth Status DisparitiesHealth SurveysHumansInfantInfant, NewbornMaleProportional Hazards ModelsRisk FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsAfrica South of the SaharaChild health

Identifiers

PMID42242838
PMCPMC13239504

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.