Evidence map›Paper›PMID 38176860›Full record

ArticleBMJ open2024

Seroprevalence of anti-SARS-CoV-2 antibodies and risk of viral exposure among healthcare workers in the South Kivu province, eastern Democratic Republic of the Congo: a cross-sectional study.

Tshass B Chasinga, Jean-Paul Buhendwa Cikwanine, Sarah Kribi, Jonathan Tunangoya Yoyu, Natalie Hofmann, Marica Grossegesse, Andreas Nitsche, Sara Tomczyk, Ann C Vietor, Fabian H Leendertz and 9 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 100% of its field
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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Observational
  2. 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

19 authors at 4 institutions in 3 countries.

Tshass B ChasingaUniversité Evangélique en Afrique, Bukavu, Congo (the Democratic Republic of the).
Jean-Paul Buhendwa CikwanineUniversité Evangélique en Afrique, Bukavu, Congo (the Democratic Republic of the).
Sarah KribiRobert Koch Institute, Berlin, Germany.
Jonathan Tunangoya YoyuUniversité Evangélique en Afrique, Bukavu, Congo (the Democratic Republic of the).ORCID 0009-0000-0312-2458
Natalie HofmannRobert Koch Institute, Berlin, Germany.
Marica GrossegesseRobert Koch Institute, Berlin, Germany.
Andreas NitscheRobert Koch Institute, Berlin, Germany.
Sara TomczykRobert Koch Institute, Berlin, Germany.
Ann C VietorRobert Koch Institute, Berlin, Germany.
Fabian H LeendertzRobert Koch Institute, Berlin, Germany.
Tim EckmannsRobert Koch Institute, Berlin, Germany.
Aline B KusinzaUniversité Evangélique en Afrique, Bukavu, Congo (the Democratic Republic of the).
Eric MunguakonkwaPanzi General Referral Hospital, Bukavu, Congo (the Democratic Republic of the).
Andreas KalkDeutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), Kinshasa, Congo (the Democratic Republic of the).
Maroyi RahaUniversité Evangélique en Afrique, Bukavu, Congo (the Democratic Republic of the).
Nelson S KambaleUniversité Evangélique en Afrique, Bukavu, Congo (the Democratic Republic of the).
Rodrigue B AyagirweUniversité Evangélique en Afrique, Bukavu, Congo (the Democratic Republic of the).
Grit Schubert *ZIG4, Robert Koch Institute, Berlin, Germany schubertg@rki.de.ORCID 0000-0003-4210-7060
Denis Mukwege *Université Evangélique en Afrique, Bukavu, Congo (the Democratic Republic of the).
Robert Koch Institute · DEKinshasa General Hospital · CDUniversité Evangélique en Afrique · CDDeutsche Gesellschaft für Internationale Zusammenarbeit · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHealthcare workers (HCWs) are on the frontline of combating COVID-19, hence are at elevated risk of contracting an infection with SARS-CoV-2. The present study aims to measure the impact of SARS-CoV-2 on HCWs in central sub-Saharan Africa.

settingA cross-sectional serological study was conducted at six urban and five rural hospitals during the first pandemic wave in the South Kivu province, Democratic Republic of the Congo (DRC).

participantsSerum specimens from 1029 HCWs employed during the first pandemic wave were collected between August and October 2020, and data on demographics and work-related factors were recorded during structured interviews. PRIMARY AND SECONDARY OUTCOME MEASURES: The presence of IgG antibodies against SARS-CoV-2 was examined by ELISA. Positive specimens were further tested using a micro-neutralisation assay. Factors driving SARS-CoV-2 seropositivity were assessed by multivariable analysis.

resultsOverall SARS-CoV-2 seroprevalence was high among HCWs (33.1%), and significantly higher in urban (41.5%) compared with rural (19.8%) hospitals. Having had presented with COVID-19-like symptoms before was a strong predictor of seropositivity (31.5%). Personal protective equipment (PPE, 88.1% and 11.9%) and alcohol-based hand sanitizer (71.1% and 28.9%) were more often available, and hand hygiene was more often reported after patient contact (63.0% and 37.0%) in urban compared with rural hospitals, respectively. This may suggest that higher exposure during non-work times in high incidence urban areas counteracts higher work protection levels of HCWs.

conclusionsHigh SARS-CoV-2 seropositivity indicates widespread transmission of the virus in this region of DRC. Given the absence of publicly reported cases during the same time period at the rural sites, serological studies are very relevant in revealing infection dynamics especially in regions with low diagnostic capacities. This, and discrepancies in the application of PPE between urban and rural sites, should be considered in future pandemic response programmes.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralCross-Sectional StudiesDemocratic Republic of the CongoHealth PersonnelHospitals, RuralHumansSeroepidemiologic StudiesAntibodies, ViralCOVID-19EpidemiologyPublic health

Identifiers

PMID38176860
PMCPMC10773362
OpenAlexW4390631764

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LicenceCC BY-NC
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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.