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

ARIMA Africa forecasting joinpoint regression analysis machine learning maternal mortality rate mortality trends

Journal

Epidemiologia (Basel, Switzerland)
ISSN: 2673-3986
Titre abrégé: Epidemiologia (Basel)
Pays: Switzerland
ID NLM: 9918333886406676

Informations de publication

Date de publication:
29 Aug 2023
Historique:
received: 29 06 2023
revised: 03 08 2023
accepted: 22 08 2023
medline: 27 9 2023
pubmed: 27 9 2023
entrez: 27 9 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37754279
pii: epidemiologia4030032
doi: 10.3390/epidemiologia4030032
pmc: PMC10528291
doi:

Types de publication

Journal Article

Langues

eng

Pagination

322-351

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Auteurs

Luc Onambele (L)

School of Health Sciences, Catholic University of Central Africa, Yaoundé 1110, Cameroon.

Sara Guillen-Aguinaga (S)

Department of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.

Laura Guillen-Aguinaga (L)

Department of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.
Department of Nursing, Suldal Sykehjem, 4230 Sands, Norway.

Wilfrido Ortega-Leon (W)

Department of Surgery, Medical and Social Sciences, University of Alcala de Henares, 28871 Alcalá de Henares, Spain.

Rocio Montejo (R)

Department of Obstetrics and Gynecology, Institute of Clinical Sciences, University of Gothenburg, 413 46 Gothenburg, Sweden.
Department of Obstetrics and Gynecology, Sahlgrenska University Hospital, 413 46 Gothenburg, Sweden.

Rosa Alas-Brun (R)

Department of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.

Enrique Aguinaga-Ontoso (E)

Department of Sociosanitary Sciences, University of Murcia, 30120 Murcia, Spain.

Ines Aguinaga-Ontoso (I)

Department of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.
Area of Epidemiology and Public Health, Healthcare Research Institute of Navarre (IdiSNA), 31008 Pamplona, Spain.
CIBER in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, 46980 Madrid, Spain.

Francisco Guillen-Grima (F)

Department of Health Sciences, Public University of Navarra, 31008 Pamplona, Spain.
Area of Epidemiology and Public Health, Healthcare Research Institute of Navarre (IdiSNA), 31008 Pamplona, Spain.
CIBER in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, 46980 Madrid, Spain.
Department of Preventive Medicine, Clínica Universidad de Navarra, 31008 Pamplona, Spain.

Classifications MeSH