Evidence map›Paper›PMID 36726537›Full record

ArticleOpen forum infectious diseases2023

High Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Prevalence After the Third Epidemic Wave (May-October 2021) in Matadi, Democratic Republic of the Congo.

Yannick Munyeku-Bazitama, Patient Okitale-Talunda, Patrick Mpingabo-Ilunga, Marc K Yambayamba, Paul M Tshiminyi, Aimé Umba-Phuati, Jacques Kimfuta, Ferdinand A Phukuta, Goethe Makindu, Raymond Mufwaya-Nsene and 8 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

18 authors.

Yannick Munyeku-BazitamaDépartement de Virologie, Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.ORCID https://orcid.org/0000-0001-8303-318X
Patient Okitale-TalundaDépartement de Biologie Médicale, Faculté de Médecine, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo.
Patrick Mpingabo-IlungaDépartement de Biologie Médicale, Faculté de Médecine, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo.
Marc K YambayambaDépartement d'Epidémiologie et Biostatistiques, Ecole de Santé Publique, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo.
Paul M TshiminyiDépartement de Virologie, Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Aimé Umba-PhuatiDivision Provinciale de Santé du Kongo Central, Matadi, Democratic Republic of the Congo.
Jacques KimfutaDivision Provinciale de Santé du Kongo Central, Matadi, Democratic Republic of the Congo.
Ferdinand A PhukutaDivision Provinciale de Santé du Kongo Central, Matadi, Democratic Republic of the Congo.
Goethe MakinduDivision Provinciale de Santé du Kongo Central, Matadi, Democratic Republic of the Congo.
Raymond Mufwaya-NseneJapan International Cooperation Agency, Tokyo, Japan.
Ryoko AsariJapan International Cooperation Agency, Tokyo, Japan.
Saeda MakimotoJapan International Cooperation Agency, Tokyo, Japan.
Lionel K BaketanaDépartement de Virologie, Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Steve Ahuka-MundekeDépartement de Virologie, Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Mitsuo IsonoJapan International Cooperation Agency, Tokyo, Japan.
Justus Nsio-MbetaDirection de Surveillance Epidémiologique, Ministère de la Santé, Hygiène et Prévention, Kinshasa, Democratic Republic of the Congo.
Sheila Makiala-MandandaDépartement de Virologie, Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.ORCID https://orcid.org/0000-0002-4261-4399
Jean-Jacques Muyembe-TamfumDépartement de Virologie, Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: By the end of the third wave of the coronavirus disease 2019 (COVID-19) epidemic (May-October 2021), only 3130 of the 57 268 confirmed cases of coronavirus disease 2019 (COVID-19) in the Democratic Republic of the Congo (DRC) were reported in Kongo Central. This province, and especially its capital city, Matadi, has essential trade and exchanges with Kinshasa, the epicenter of the COVID-19 epidemic in DRC. Kinshasa accounted for 60.0% of all cases during the same period. The true burden of COVID-19 in Matadi is likely underestimated. In this study, we aimed to determine the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence and associated risk factors after the third wave in Matadi. Methods: We conducted a population-based cross-sectional study in October 2021. Consenting participants were interviewed and tested using an enzyme-linked immunosorbent assay commercial kit. We applied univariable and multivariable analysis to evaluate factors associated with seropositivity and adjusted the seroprevalence for the test kit performance. Results: We included 2210 participants from 489 households. Female participants represented 59.1%. The median age was 27 years (interquartile range, 16-45 years). The crude SARS-CoV-2 seroprevalence was 82.3%. Age was identified as the main risk factor as younger age decreased the seropositivity odds. Accounting for clustering at the household level increased the seroprevalence to 83.2%. The seroprevalence increased further to 88.1% (95% confidence interval, 86.2%-90.1%) after correcting for the laboratory test kit performance. Conclusions: The SARS-CoV-2 seroprevalence was very high, contrasting with reported cases. Evidence generated from this population-based survey remains relevant in guiding the local COVID-19 response, especially vaccination strategies.

Indexed as

antibodiesMatadiSARS-CoV-2seroprevalencethird wave

Identifiers

PMID36726537
PMCPMC9887263

What OpenQuestion holds

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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.