Evidence map›Paper›PMID 33948607›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Rapidly increasing SARS-CoV-2 seroprevalence and limited clinical disease in three Malian communities: a prospective cohort study.

Issaka Sagara, John Woodford, Mamady Kone, Mahamadoun Hamady Assadou, Abdoulaye Katile, Oumar Attaher, Amatigue Zeguime, M'Bouye Doucoure, Emily Higbee, Jacquelyn Lane and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. 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, 20 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 2 countries.

Issaka Sagara *Malaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
John Woodford *Laboratory of Malaria Immunology and Vaccinology, National Institutes of Health, USA.
Mamady KoneMalaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
Mahamadoun Hamady AssadouMalaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
Abdoulaye KatileMalaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
Oumar AttaherMalaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
Amatigue ZeguimeMalaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
M'Bouye DoucoureMalaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
Emily HigbeeLaboratory of Malaria Immunology and Vaccinology, National Institutes of Health, USA.
Jacquelyn LaneLaboratory of Malaria Immunology and Vaccinology, National Institutes of Health, USA.
Justin DoritchamouMalaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
Irfan ZaidiMalaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
Dominic EspositoFrederic National Laboratory for Cancer Research, National Insitutes of Health, National Institutes of Health, USA.
Jennifer KwanLaboratory of Clinical Immunology and Microbiology, National Institutes of Health, USA.
Kaitlyn SadtlerNational Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, USA.
Alassane DickoMalaria Research and Teaching Center, University of Sciences, Techniques, and Technology of Bamako, Mali.
Patrick DuffyLaboratory of Malaria Immunology and Vaccinology, National Institutes of Health, USA.
National Institutes of Health · USUniversity of Bamako · ML

Funding

ImmunoengineeringZIAEB000093 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI SADTLER, KAITLYN · 2020 to 2025
$5.5M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Background: The extent of SARS-CoV-2 exposure and transmission in Mali and the surrounding region is not well understood, although infection has been confirmed in nearly 14,000 symptomatic individuals and their contacts since the first case in March 2020. We aimed to estimate the cumulative incidence of SARS-CoV-2 in three Malian communities, and understand factors associated with infection. Methods: Between 27 July 2020 and 29 January 2021, we collected blood samples along with demographic, social, medical and self-reported symptoms information from residents aged 6 months and older in three study communities at two study visits. SARS-CoV-2 antibodies were measured using a highly specific two-antigen ELISA optimized for use in Mali. We calculated cumulative adjusted seroprevalence for each site and evaluated factors associated with serostatus at each visit by univariate and multivariate analysis. Findings: Overall, 94.8% (2533/2672) of participants completed both study visits. A total of 50.3% (1343/2672) of participants were male, and 31.3% (837/2672) were aged <10 years, 27.6% (737/2672) were aged 10-17 years, and 41.1% (1098/2572) were aged ≥18 years. The cumulative SARS-CoV-2 exposure rate was 58.5% (95% CI: 47.5 to 69.4). This varied between sites and was 73.4% (95% CI: 59.2 to 87.5) in the urban community of Sotuba, 53.2% (95% CI: 42.8 to 63.6) in the rural town of Bancoumana, and 37.1% (95% CI: 29.6 to 44.5) in the rural village of Donéguébougou. This equates to an infection rate of approximately 1% of the population every three days in the study communities between visits. Increased age and study site were associated with serostatus at both study visits. There was minimal difference in reported symptoms based on serostatus. Interpretation: The true extent of SARS-CoV-2 exposure in Mali is greater than previously reported and now approaches hypothetical herd immunity in urban areas. The epidemiology of the pandemic in the region may be primarily subclinical and within background illness rates. In this setting, ongoing surveillance and augmentation of diagnostics to characterize locally circulating variants will be critical to implement effective mitigation strategies like vaccines. Funding: This project was funded by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases, National Institute of Biomedical Imaging and Bioengineering, and National Cancer Institute.

Identifiers

PMID33948607
PMCPMC8095226
OpenAlexW3157745878

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.