Evidence map›Paper›PMID 42106672›Full record

ArticleBMC public health2026

Convergence in maternal mortality ratios: evidence and implications for SDG 3.1.

Delphin Kamanda Espoir

Abstract read
In one paragraph

Article in BMC 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.

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

What it found

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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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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

1 author.

Delphin Kamanda EspoirUniversité Officielle de Bukavu, République Démocratique du Congo, Bukavu, Congo. espoirkamandadelphin@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 2000, the world has achieved notable progress in reducing maternal mortality, though regional disparities remain pronounced. These uneven outcomes raise critical questions about whether countries are collectively converging toward the Sustainable Development Goal (SDG) 3.1 target of fewer than 70 deaths per 100,000 live births by 2030, or diverging into distinct clusters marked by persistent inequality.

methodThis study employs Gini coefficient decomposition and kernel density estimation (KDE) to quantify regional differences and trace the evolving distribution of maternal mortality ratios (MMRs) across 163 countries from 1990 to 2023. A convergence model is then applied to analyze long-run dynamics. Specifically, recognizing that the Phillips-Sul framework overlooks spatial dependence and mobility between clubs, the Local Directional Moran Scatterplot (LDMS) methodology is adopted, situating each country in Moran space and modeling trajectories as random vector fields (RVF).

resultsThe findings show that: (1) Global maternal mortality fell consistently from 1990 to 2023, with distributions shifting lower. COVID-19 briefly widened disparities, but recovery by 2023 confirmed continued progress. (2) The global MMR Gini coefficient remained persistently high, averaging about 0.66, with inter-regional disparities as the primary source of inequality. (3) Countries are not converging along a single universal path but instead into three distinct clubs. By 2030, forecasts indicate that out of 163 countries, 65 (40%) will achieve the SDG 3.1 target, while 98 (60%) will remain above the threshold.

conclusionsThis divergence highlights the urgent need for stronger health systems, socio-economic empowerment, and global partnerships to help lagging countries overcome entrenched high MMR trajectories.

Indexed as

Global HealthMaternal MortalitySustainable DevelopmentCOVID-19FemaleHumansClub ConvergenceConvergence DynamicsLDMSMaternal MortalityRVF

Identifiers

PMID42106672
PMCPMC13330334

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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.