Evidence map›Paper›PMID 34095639›Full record

ArticleScientific African2021

Serologic response to SARS-CoV-2 in an African population.

Karl Njuwa Fai, Tchoula Mamiafo Corine, Lisa M Bebell, Akenji Blaise Mboringong, E B P Taa Nguimbis, Robert Nsaibirni, Nicole Fouda Mbarga, Lucrece Eteki, Birgit Nikolay, Rene Ghislain Essomba and 20 more

Abstract read
In one paragraph

Article in Scientific African, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Seroprevalence of SARS-CoV-2 Antibodies in Africa: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
    Pooled it
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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

30 authors.

Karl Njuwa FaiEpicentre, Yaoundé, Cameroon.
Tchoula Mamiafo CorineEpicentre, Yaoundé, Cameroon.
Lisa M BebellMassachussetts General Hospital, Boston, United States.
Akenji Blaise MboringongNational Public Health Laboratory, Yaoundé, Cameroon.
E B P Taa NguimbisEpicentre, Yaoundé, Cameroon.
Robert NsaibirniEpicentre, Yaoundé, Cameroon.
Nicole Fouda MbargaEpicentre, Yaoundé, Cameroon.
Lucrece EtekiEpicentre, Yaoundé, Cameroon.
Birgit NikolayEpicentre, Paris, France.
Rene Ghislain EssombaNational Public Health Laboratory, Yaoundé, Cameroon.
Mark NdifonEpicentre, Yaoundé, Cameroon.
Rodrigue NtoneEpicentre, Yaoundé, Cameroon.
Achta HamadouPublic Health Emergency Operation Center, Ministry of Health, Yaoundé, Cameroon.
Lucrece MatchimEpicentre, Yaoundé, Cameroon.
Dora TchiassoEpicentre, Yaoundé, Cameroon.
Aristide S Abah AbahPublic Health Emergency Operation Center, Ministry of Health, Yaoundé, Cameroon.
Rachel EssakaLaboratoire du Lac, Yaoundé, Cameroon.
Solange PeppaNational Public Health Laboratory, Yaoundé, Cameroon.
Fouda CrescenceNational Public Health Laboratory, Yaoundé, Cameroon.
Jean Patrick OuambaMedecins Sans Frontières, Yaoundé, Cameroun.
Modeste Tamakloé KokuMedecins Sans Frontières, Yaoundé, Cameroun.
Nadia MandengPublic Health Emergency Operation Center, Ministry of Health, Yaoundé, Cameroon.
Mahamat FannePublic Health Emergency Operation Center, Ministry of Health, Yaoundé, Cameroon.
Sarah EyangohCentre Pasteur du Cameroun, Yaoundé, Cameroun.
Georges Alain Etoundi MballaPublic Health Emergency Operation Center, Ministry of Health, Yaoundé, Cameroon.
Linda EssoPublic Health Emergency Operation Center, Ministry of Health, Yaoundé, Cameroon.
Emilienne EpéePublic Health Emergency Operation Center, Ministry of Health, Yaoundé, Cameroon.
Richard NjouomCentre Pasteur du Cameroun, Yaoundé, Cameroun.
Marie-Claire Okomo AssoumouNational Public Health Laboratory, Yaoundé, Cameroon.
Yap BoumEpicentre, Yaoundé, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Official case counts suggest Africa has not seen the expected burden of COVID-19 as predicted by international health agencies, and the proportion of asymptomatic patients, disease severity, and mortality burden differ significantly in Africa from what has been observed elsewhere. Testing for SARS-CoV-2 was extremely limited early in the pandemic and likely led to under-reporting of cases leaving important gaps in our understanding of transmission and disease characteristics in the African context. SARS-CoV-2 antibody prevalence and serologic response data could help quantify the burden of COVID-19 disease in Africa to address this knowledge gap and guide future outbreak response, adapted to the local context. However, such data are widely lacking in Africa. We conducted a cross-sectional seroprevalence survey among 1,192 individuals seeking COVID-19 screening and testing in central Cameroon using the Innovita antibody-based rapid diagnostic. Overall immunoglobulin prevalence was 32%, IgM prevalence was 20%, and IgG prevalence was 24%. IgM positivity gradually increased, peaking around symptom day 20. IgG positivity was similar, gradually increasing over the first 10 days of symptoms, then increasing rapidly to 30 days and beyond. These findings highlight the importance of diagnostic testing and asymptomatic SARS-CoV-2 transmission in Cameroon, which likely resulted in artificially low case counts. Rapid antibody tests are a useful diagnostic modality for seroprevalence surveys and infection diagnosis starting 5-7 days after symptom onset. These results represent the first step towards better understanding the SARS-CoV-2 immunological response in African populations.

Indexed as

AfricaCOVID-19ImmunoglobulinRapid diagnostic testsSerology

Identifiers

PMID34095639
PMCPMC8164732

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.