Evidence map›Paper›PMID 41282911›Full record

ArticlemedRxiv : the preprint server for health sciences2025

SARS-CoV-2 Serosurveillance Reveals Pre-pandemic Cross-Reactivity and Pandemic Seroprevalence Trends in Senegal.

Mouhamad Sy, Ian Baudi, Ibrahima M Ndiaye, Mariama Toure, Amy Gaye, Tolla Ndiaye, Aida S Badiane, Awa B Deme, Jules Gomis, Daba Zoumarou and 10 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

20 authors.

Mouhamad SyInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Ian BaudiBroad Institute of MIT and Harvard, Cambridge, MA, United States.
Ibrahima M NdiayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Mariama ToureInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Amy GayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Tolla NdiayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Aida S BadianeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Awa B DemeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Jules GomisInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Daba ZoumarouInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Mouhamadou NdiayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Khadim DiongueInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Mame Cheikh SeckInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Djiby SowInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Ngayo SyService de Lutte Antiparasitaire (SLAP) de Thies, MoH, Senegal.
Mouhamadou A DialloInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Marietou F PayeBroad Institute of MIT and Harvard, Cambridge, MA, United States.
Pardis C SabetiBroad Institute of MIT and Harvard, Cambridge, MA, United States.
Katherine J SiddleDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI, USA.
Daouda NdiayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.

Funding

West African Emerging Infectious Disease Research Center (WA-EIDRC)U01AI151812 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI ANDERSEN, KRISTIAN GRAUGAARD, GARRY, ROBERT F · 2020 to 2024
$13.2M
Utilize Microbial Metagenomics for Viral Pathogen CharacterizationU54HG007480 · NHGRI · REDEEMER'S UNIVERSITY · PI HAPPI, CHRISTIAN T. · 2017 to 2022
$5.5M
Host and Microbial Genetic Determinants of Febrile Illness in West AfricaU01HG007480 · NHGRI · REDEEMER'S UNIVERSITY · PI HAPPI, CHRISTIAN T. · 2013 to 2016
$1.6M
Gates Foundation INV-004036NHGRI NIH HHS U01 HG007480NHGRI NIH HHS U54 HG007480NIAID NIH HHS U01 AI151812
6 · The paper itself

Abstract

The relatively mild impact of COVID-19 in sub-Saharan Africa has raised questions about the role of pre-existing immunity in the region. One hypothesis for this unexpected observation is the presence of pre-existing cross-protective immunity, potentially induced by prior exposure to seasonal and zoonotic coronaviruses. However, the prevalence and functional relevance of such antibodies in the Senegalese population are not fully known. To investigate this, we conducted a cross-sectional seroprevalence study using 822 plasma samples collected in Senegal before (2017-2019) and during (2020-2022) the pandemic, across regions of high (Kédougou) and low (Thiès) malaria endemicity. Samples were screened for anti-SARS-CoV-2 spike 1 IgG using enzyme-linked immunosorbent assay (ELISA), and a subset of the pre-pandemic IgG-positive samples was further tested for neutralizing activity using a surrogate virus neutralization test (sVNT). Pre-pandemic SARS-CoV-2 IgG positivity was 39.1% [34.6 - 43.7]. No significant differences were observed in terms of age, sex, region, or malaria status. However, only 5.1% of pre-pandemic IgG-positive samples showed neutralizing activity, with 1.3% [0.1 - 6.7] in Kédougou and 9.2% [4.5 - 17.8] in Thiès. During the pandemic, IgG seroprevalence increased from the baseline around 40% in 2020 (37.3 % [27.7 - 48.1] in Kedougou and 50%[29.03 - 70.9%] in Thies), peaking near 99% of the study population by 2022 with 98.2% [93.8 - 99.5] in Kedougou and 98.8% [93.6 - 99.7] in Thies. These results indicate widespread pre-pandemic cross-reactivity to SARS-CoV-2 in Senegal, likely driven by exposure to related coronaviruses. However, their poor neutralizing activity implies limited cross-protection. These findings highlight the need for further investigation into the origins, nature, and immunological significance of these cross-reactive antibody responses.

Indexed as

IgG SeroprevalenceNeutralizing antibodiesPre-pandemic immunitySARS-CoV-2

Identifiers

PMID41282911
PMCPMC12633569

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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.