Evidence map›Paper›PMID 37800463›Full record

ArticleEpidemiology and infection2023

Seroprevalence of SARS-CoV-2 antibodies in Republic of Congo, February 2022.

Gilbert Ndziessi, Roch Fabien Niama, Axel Gilius Aloumba, Jethro Massala Peya, Joseph Axel Ngatse, Ryschel Alist Ngoyomi, Ange Clauvel Niama, N'Kaya Tobi, Antoine Loussambou, Jean Medard Kankou and 5 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Gilbert NdziessiDepartment of Public Health, Faculty of Health Sciences, Marien Ngouabi University, Brazzaville, Republic of the Congo.ORCID 0000-0003-1259-5251
Roch Fabien NiamaNational Laboratory of Public Health, Brazzaville, Republic of the Congo.ORCID 0000-0003-3843-9396
Axel Gilius AloumbaDepartment of Infectious Diseases, University Hospital of Brazzaville, Brazzaville, Republic of the Congo.
Jethro Massala PeyaDepartment of Public Health, Faculty of Health Sciences, Marien Ngouabi University, Brazzaville, Republic of the Congo.
Joseph Axel NgatseDepartment of Public Health, Faculty of Health Sciences, Marien Ngouabi University, Brazzaville, Republic of the Congo.
Ryschel Alist NgoyomiDepartment of Public Health, Faculty of Health Sciences, Marien Ngouabi University, Brazzaville, Republic of the Congo.
Ange Clauvel NiamaDepartment of Public Health, Faculty of Health Sciences, Marien Ngouabi University, Brazzaville, Republic of the Congo.
N'Kaya TobiMinistry of Agriculture, Fisheries and Livestock, Brazzaville, Republic of the Congo.
Antoine LoussambouMinistry of Public Health and Population, Brazzaville, Republic of the Congo.
Jean Medard KankouMinistry of Public Health and Population, Brazzaville, Republic of the Congo.
Benjamin AtipoMinistry of Public Health and Population, Brazzaville, Republic of the Congo.
Jean Claude EmekaMinistry of Public Health and Population, Brazzaville, Republic of the Congo.
Pascal IbataArmy Hospital, Brazzaville, Republic of the Congo.
Donatien MoukassaClinical and Molecular Biochemistry Unit, Faculty of Health Sciences, Marien Ngouabi University, Brazzaville, Republic of the Congo.
Alexis Elira DokekiasDepartment of Medicine, Faculty of Health Sciences, Marien Ngouabi University, Brazzaville, Republic of the Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In resource-limited countries, the lack of widespread screening masks the true situation of COVID-19. We conducted this study to assess SARS-CoV-2 spread by detection of specific antibodies and to determine associated factors. A population-based cross-sectional study was conducted. Subjects were tested for the presence of two antibodies (IgM and IgG) specific to SARS-CoV-2. Data collection was done using a smartphone with the KoboCollect application. Prevalence of antibodies was estimated with 95% confidence intervals. Logistic regression was used to determine factors associated with positive serological test. A total of 9,094 persons were tested in 4,340 households. The mean age was 30.18 ± 18.65 years, 46.5% male. The overall seroprevalence (prevalence, 95% CI) of SARS-CoV-2 antibodies was (48.2% [47.2%-49.2%]). Being vaccinated, having been in contact with a COVID-19 patient, being older than 50 years, living in a union, having secondary education and having tertiary education were factors independently associated with the likelihood of having anti-sars-CoV-2. We estimate in February 2022 that 48% persons had antibodies against the COVID-19 virus, more among those vaccinated. Vaccination intensification in low prevalence departments will reduce the risk of new outbreaks.

Indexed as

COVID-19SARS-CoV-2AdolescentAdultAntibodies, ViralChildCongoCross-Sectional StudiesFemaleHumansMaleMiddle AgedSeroepidemiologic StudiesYoung AdultAntibodies, ViralantibodiesCongoCOVID-19SARS-CoV-2seroprevalence

Identifiers

PMID37800463
PMCPMC10600732

What OpenQuestion holds

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LicenceCC BY
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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.