Evidence map›Paper›PMID 35204493›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Monitored Implementation of COVID-19 Rapid Antigen Screening at Taxi Ranks in Johannesburg, South Africa.

Mohammed Majam, Vanessa Msolomba, François Venter, Lesley Erica Scott, Trish Kahamba, Wendy Susan Stevens, Michael Rademeyer, Tanya van Tonder, Sanjida Karim, Rigveda Kadam and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2025
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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

11 authors at 3 institutions in 2 countries.

Mohammed MajamEzintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa.ORCID 0000-0003-0302-5353
Vanessa MsolombaEzintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa.ORCID 0000-0002-4063-7167
François VenterEzintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa.
Lesley Erica ScottDepartment of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg 2193, South Africa.
Trish KahambaDepartment of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg 2193, South Africa.
Wendy Susan StevensDepartment of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg 2193, South Africa.
Michael RademeyerA2D24, Albury Office Park, 5 Albury Rd., Dunkeld West, Randburg 2196, South Africa.
Tanya van TonderOpinion Solutions, Melrose Arch, 44 Melrose Blvd, Birnam, Johannesburg 2196, South Africa.
Sanjida KarimFIND, Campus Biotech, Chemin des Mines 9, 1202 Geneva, Switzerland.
Rigveda KadamFIND, Campus Biotech, Chemin des Mines 9, 1202 Geneva, Switzerland.ORCID 0000-0002-2299-5630
Paula AkugizibweFIND, Campus Biotech, Chemin des Mines 9, 1202 Geneva, Switzerland.
University of the Witwatersrand · ZAFIND · CHNational Health Laboratory Service · ZA

Funding

FIND and Ezintsha NL-COVI01
6 · The paper itself

Abstract

Digital tools can support community-based decentralized testing initiatives to broaden access to COVID-19 diagnosis, especially in high-transmission settings. This operational study investigated the use of antigen-detecting rapid diagnostic tests (Ag-RDTs) for COVID-19 combined with an end-to-end digital health solution, in three taxi ranks in Johannesburg, South Africa. Members of the public were eligible if they were aged ≥18 years, could read, and had a cellphone. Over 15,000 participants, enrolled between June and September 2021, were screened for COVID-19 risk factors. A digital risk questionnaire identified 2061 (13%) participants as moderate risk and 2987 (19%) as high risk, based on symptoms and/or recent exposure to a known case. Of this group referred for testing, 3997 (79%) received Ag-RDTs, with positivity rates of 5.1% in the "high-risk" group and 0.8% in the "moderate-risk" group. A subset of 569 randomly selected participants received additional PCR testing. Sensitivity of the Ag-RDT in this setting was 40% (95% CI: 30.3%, 50.3%); most false negatives had high cycle threshold values (>25), hence low viral loads. Over 80% of participants who tested positive completed a 2-week phone-based follow-up questionnaire. Overall, the digital tool combined with Ag-RDTs enhanced community-based decentralized COVID-19 testing service delivery, reporting and follow-up.

Indexed as

antigencommunity-based testingCOVID-19differentiated caredigitalrapidSARS-CoV-2South Africataxi ranktesting

Identifiers

PMID35204493
PMCPMC8871379
OpenAlexW4210308380

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.