Evidence map›Paper›PMID 40283711›Full record

ArticleInternational journal of environmental research and public health2025

Sustainable Development Goals (SDGs), Public Health Expenditures, and Maternal and Child Mortality in Selected African Countries: Forecasting Modelling.

Yetunde Adegoke, Josue Mbonigaba, Gavin George

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Environmental Quality, Renewable Energy, and Life Expectancy in Gulf Cooperation Council Countries.International journal of environmental research and public health · 2026
    Article
  2. Article
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.

Yetunde AdegokeSchool of Accounting, Economics and Finance, University of KwaZulu-Natal, West-Ville Campus Durban, Durban 4000, South Africa.
Josue MbonigabaSchool of Accounting, Economics and Finance, University of KwaZulu-Natal, West-Ville Campus Durban, Durban 4000, South Africa.
Gavin GeorgeHealth Economics and HIV and AIDS Research Division (HEARD), University of KwaZulu-Natal, Durban 4000, South Africa.ORCID 0000-0001-7258-8470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study projects the performance of maternal and child mortalities in relation to the SDGs target (70 maternal deaths and 25 child deaths) by year 2030, based on three simulation scenarios of public health expenditures (PHEs). In essence, this study investigates the predictability of PHE in explaining maternal and child mortalities in a bid to confirm the possibility of meeting the SDGs target. The SSA is known to be facing critical health challenges; this study contributes to the problem underlying the health sector by forecasting PHEs in relation to goal 3 because the knowledge of correlation and threshold relationship between PHE and health outcomes, as seen in previous studies, may not be adequate to prepare the SSA countries towards achieving the SDGs target. This study uses Feasible Quasi-Generalised Least Squares as a baseline forecasting approach for 25 selected SSA countries. An increase in the PHE by 30 percent from the current level shows that only Botswana, Namibia, and South Africa will achieve the SDGs target of 70 maternal deaths, while Burundi, Cameroon, Central African Republic, Cote d'Ivoire, Eswatini, Lesotho, Mauritania, Niger, Nigeria, Tanzania, and Togo may have to bear more than 200 maternal deaths by 2030. In contrast, about 60 percent of the countries will achieve the SDGs target for child mortality. PHEs must meet the 30% increase forecasted for a reduction in mortality, being the benchmark that will enable the SSA region to achieve the SDGs target by year 2030.

Indexed as

Child MortalityHealth ExpendituresMaternal MortalityPublic HealthSustainable DevelopmentAfricaChildFemaleForecastingGoalsHumansInfantAfricachild mortalityforecasting modellingFQGLSmaternal mortalityPHEsSDGs target

Identifiers

PMID40283711
PMCPMC12027358

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Registered trials

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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.