Evidence map›Paper›PMID 40481557›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Previous or current infection with SARS-CoV-2 virus and its impact on maternal and neonatal health outcomes in Benin: a sero-epidemiological study in pregnant women.

Manfred Accrombessi, Patrice Dangbemey, Landry Assongba, Anges Yadouleton, Edouard Dangbenon, Nelly Wakpo, Martin C Akogbeto, Natacha Protopopoff, Jackie Cook, Benjamin Hounkpatin

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2025. 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

10 authors.

Manfred AccrombessiCentre de Recherche Entomologique de Cotonou, Cotonou, Benin. accrombessimanfred@gmail.com.
Patrice DangbemeyDepartment of Obstetrics and Gynaecology, Lagoon Mother and Child University Hospital Center, Faculty of Health Science, University of Abomey Calavi, Cotonou, Benin.
Landry AssongbaCentre de Recherche Entomologique de Cotonou, Cotonou, Benin.
Anges YadouletonLaboratory of Viral Haemorrhagic Fevers and Arboviruses of Benin, Ministry of Health, Cotonou, Benin.
Edouard DangbenonCentre de Recherche Entomologique de Cotonou, Cotonou, Benin.
Nelly WakpoDepartment of Obstetrics and Gynaecology, Lagoon Mother and Child University Hospital Center, Faculty of Health Science, University of Abomey Calavi, Cotonou, Benin.
Martin C AkogbetoCentre de Recherche Entomologique de Cotonou, Cotonou, Benin.
Natacha ProtopopoffDepartment of Epidemiology and Public Health, Swiss Tropical & Public Health Institute, Allschwill, Switzerland.
Jackie CookInternational Statistics and Epidemiology Group, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Benjamin HounkpatinDepartment of Obstetrics and Gynaecology, Lagoon Mother and Child University Hospital Center, Faculty of Health Science, University of Abomey Calavi, Cotonou, Benin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 (COVID-19) has emerged as a significant global public health challenge, revealing critical vulnerabilities within health systems worldwide. While extensive data on COVID-19 is available from high-income countries, information remains scarce in lower-income regions, particularly regarding its impact on pregnant women. This study aims to evaluate the burden of COVID-19 among pregnant women and its effects on maternal and birth outcomes during the third wave in Benin.

methodsA cross-sectional, hospital-based survey was conducted from May 19 to September 19, 2022, at the Lagune Mother and Child Teaching Hospital. A standardized questionnaire was administered, and nasal swabs along with serological analysis were performed on 437 pregnant women. Multivariate logistic regression was used to assess risk factors and evaluate the impact of previous or current COVID-19 exposure on maternal and birth adverse outcomes.

resultsSARS-CoV-2 was detected in less than 1% of pregnant women through PCR testing of nasal swab samples. Among the study population, 14.4% of women were vaccinated against COVID-19. A total of 81.1% of women tested positive for antibodies, suggesting prior exposure or infection to SARS-CoV-2 or vaccination. Notably, 78.6% of unvaccinated women had detectable antibodies, which serves as a more accurate proxy for infection prevalence. No significant association was found between prior COVID-19 exposure and adverse maternal and birth outcomes (aOR: 0.48, 95% CI 0.15-1.51).

conclusionsAlthough PCR testing revealed a low incidence of active SARS-CoV-2 infection, the high prevalence of IgG antibodies among pregnant women suggests widespread prior exposure or infection. Vaccination was identified as a strong predictor of detectable IgG antibodies. Notably, despite the presence of antibodies, no significant association was found between prior COVID-19 exposure and adverse maternal or birth outcomes. These findings highlight the need for further research to explore the potential long-term effects of COVID-19 infection on pregnancy outcomes and to better understand the relationship between antibody presence and maternal and fetal health.

Indexed as

BeninCOVID-19 infection in pregnancyPoor maternal and birth outcomesSARS-CoV-2Sero-prevalence

Identifiers

PMID40481557
PMCPMC12142973

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LicenceCC BY-NC-ND
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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.