Evidence map›Paper›PMID 37754279›Full record

ArticleEpidemiologia (Basel, Switzerland)2023

Trends, Projections, and Regional Disparities of Maternal Mortality in Africa (1990-2030): An ARIMA Forecasting Approach.

Luc Onambele, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Wilfrido Ortega-Leon, Rocio Montejo, Rosa Alas-Brun, Enrique Aguinaga-Ontoso, Ines Aguinaga-Ontoso, Francisco Guillen-Grima

Open access · goldAbstract read
In one paragraph

Article in Epidemiologia (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
13.9field-weighted citation impact, top 1% of its field
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

12 citing papers in PubMed, 24 citations in OpenAlex.

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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

9 authors at 6 institutions in 3 countries.

Luc OnambeleSchool of Health Sciences, Catholic University of Central Africa, Yaoundé 1110, Cameroon.
Sara Guillen-AguinagaDepartment of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.
Laura Guillen-AguinagaDepartment of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.
Wilfrido Ortega-LeonDepartment of Surgery, Medical and Social Sciences, University of Alcala de Henares, 28871 Alcalá de Henares, Spain.
Rocio MontejoDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, University of Gothenburg, 413 46 Gothenburg, Sweden.ORCID 0000-0001-8917-1882
Rosa Alas-BrunDepartment of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0003-3450-9342
Enrique Aguinaga-OntosoDepartment of Sociosanitary Sciences, University of Murcia, 30120 Murcia, Spain.
Ines Aguinaga-OntosoDepartment of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-2882-930X
Francisco Guillen-GrimaDepartment of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0001-9749-8076
Universidad de Navarra · ESInstituto de Salud Carlos III · ESCatholic University of Central Africa · CMSahlgrenska University Hospital · SEUniversidad de Alcalá · ESUniversidad de Murcia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the United Nations Sustainable Development Goals (SDG) (2015-2030) focused on the reduction in maternal mortality, monitoring and forecasting maternal mortality rates (MMRs) in regions like Africa is crucial for health strategy planning by policymakers, international organizations, and NGOs. We collected maternal mortality rates per 100,000 births from the World Bank database between 1990 and 2015. Joinpoint regression was applied to assess trends, and the autoregressive integrated moving average (ARIMA) model was used on 1990-2015 data to forecast the MMRs for the next 15 years. We also used the Holt method and the machine-learning Prophet Forecasting Model. The study found a decline in MMRs in Africa with an average annual percentage change (APC) of -2.6% (95% CI -2.7; -2.5). North Africa reported the lowest MMR, while East Africa experienced the sharpest decline. The region-specific ARIMA models predict that the maternal mortality rate (MMR) in 2030 will vary across regions, ranging from 161 deaths per 100,000 births in North Africa to 302 deaths per 100,000 births in Central Africa, averaging 182 per 100,000 births for the continent. Despite the observed decreasing trend in maternal mortality rate (MMR), the MMR in Africa remains relatively high. The results indicate that MMR in Africa will continue to decrease by 2030. However, no region of Africa will likely reach the SDG target.

Indexed as

AfricaARIMAforecastingjoinpoint regression analysismachine learningmaternal mortality ratemortalitytrends

Identifiers

PMID37754279
PMCPMC10528291
OpenAlexW4386246301

What OpenQuestion holds

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LicenceCC BY
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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.