Evidence map›Paper›PMID 42795637›Full record

ArticleMicroorganisms2026

Challenges and Adaptations in COVID-19 Seroprevalence Surveys: Insights from Kinshasa, the Democratic Republic of the Congo.

Benoit Mputu-Ngoyi, Angele Dilu-Keti, Paul Tshiminyi-Munkamba, Marc K Yambayamba, Yannick Munyeku-Bazitama, Sheila Makiala-Mandanda, Antoine Nkuba-Ndaye, Steve Ahuka-Mundeke

Abstract read
In one paragraph

Article in Microorganisms, 2026. 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.

No citing paper in PubMed yet.

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

8 authors.

Benoit Mputu-NgoyiDépartement de Biologie Médicale, Cliniques Universitaires de Kinshasa, Kinshasa P.O. Box 127, Democratic Republic of the Congo.
Angele Dilu-KetiTransVIHMI, Université de Montpellier, Institut de Recherche pour le Développement (IRD), Institut National de Santé et de Recherche Médicale (INSERM), 911 Avenue Agropolis, BP 64501, 34394 Montpellier CEDEX 5, France.ORCID 0009-0000-1843-9634
Paul Tshiminyi-MunkambaDépartement de Virologie, Institut National de Recherche Biomédicale, Kinshasa 01204, Democratic Republic of the Congo.
Marc K YambayambaDépartement d'Epidémiologie et Biostatistiques, Ecole de Santé Publique, Université de Kinshasa, Kinshasa P.O. Box 127, Democratic Republic of the Congo.
Yannick Munyeku-BazitamaDépartement de Virologie, Institut National de Recherche Biomédicale, Kinshasa 01204, Democratic Republic of the Congo.ORCID 0000-0001-8303-318X
Sheila Makiala-MandandaDépartement de Biologie Médicale, Cliniques Universitaires de Kinshasa, Kinshasa P.O. Box 127, Democratic Republic of the Congo.ORCID 0000-0002-4261-4399
Antoine Nkuba-NdayeDépartement de Biologie Médicale, Cliniques Universitaires de Kinshasa, Kinshasa P.O. Box 127, Democratic Republic of the Congo.ORCID 0000-0003-2850-7498
Steve Ahuka-MundekeDépartement de Biologie Médicale, Cliniques Universitaires de Kinshasa, Kinshasa P.O. Box 127, Democratic Republic of the Congo.

Funding

French Agence Nationale de Recherche sur le SIDA (ANRS)
6 · The paper itself

Abstract

Seroprevalence surveys constitute a critical tool for estimating population exposure to infectious agents, particularly during public health emergencies. In the context of the coronavirus disease 2019 (COVID-19) pandemic, such surveys revealed that the circulation of Severe Acute Respiratory Syndrome Coronavirus 2 in Africa had been largely underestimated. The validity of these surveys, however, depends not only on the reliability of diagnostic tests but also on operational conditions, which are frequently challenged by fear, misinformation, and logistical constraints. In the Democratic Republic of the Congo, the National Institute of Biomedical Research conducted two seroprevalence surveys in Kinshasa in 2020 on behalf the project "Appui à la Riposte Africaine à l'Epidémie de COVID-19" (ARIACOV). This study described the challenges encountered and the adaptive strategies employed during these surveys, in order to improve future investigations. The study population comprised 41 eligible field workers who participated in the 2020 ARIACOV seroprevalence surveys in Kinshasa, including 28 interviewers and 13 specimen collectors. Of these, 24 individuals (16 interviewers and 8 specimen collectors) initially confirmed their participation. Ultimately, 15 participants took part in the focus group discussions, comprising 11 interviewers (39.3% of the 28 eligible interviewers) and 4 specimen collectors (30.8% of the 13 eligible specimen collectors). We collected data through two focus groups held in a single session, using a pre-tested semi-structured guide. Discussions were audio-recorded and complemented by observational notes until empirical saturation was achieved. We applied deductive thematic analysis, following Braun and Clarke's framework, to three predefined domains: transportation, survey procedures, and sample management. The application of systematic manual coding, combined with researcher triangulation, reinforced the rigor and enhanced the credibility of the findings. The findings highlighted community mistrust, driven by rumors, apprehension regarding blood collection, financial suspicions, and inadequate communication. In addition, logistical and transportation challenges significantly constrained survey feasibility. Nonetheless, a range of adaptive strategies were implemented, enabling the successful conduct of the surveys despite the pandemic context and limited resources. The participants' narratives suggest that strengthening field workers' training, improving transparency, and working alongside community health workers could contribute to enhance the effectiveness of serological surveys during health crises in resource-constrained environments.

Indexed as

COVID-19Democratic Republic of Congohousehold surveysinfodemicseroprevalence

Identifiers

PMID42795637
PMCPMC13608894

What OpenQuestion holds

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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.