Evidence map›Paper›PMID 39648401›Full record

ArticleInfluenza and other respiratory viruses2024

Home-Based Testing as an Approach to Estimate Influenza Vaccine Effectiveness in South Africa, 2021-2022-A Pilot Study.

Jocelyn Moyes, Mvuyo Makhazi, Sibongile Walaza, Phiwokuhle Ntombela, Fahima Moosa, Anne von Gottberg, Nicole Wolter, Mignon du Plessis, Gillian Hunt, Cherie Cawood and 2 more

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2024. 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

12 authors.

Jocelyn MoyesCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0001-8040-1717
Mvuyo MakhaziCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.
Sibongile WalazaCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0001-7588-2480
Phiwokuhle NtombelaCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.
Fahima MoosaCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.
Anne von GottbergCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.
Nicole WolterCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.
Mignon du PlessisCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.
Gillian HuntBARC Laboratories, Johannesburg, South Africa.
Cherie CawoodEpicentre Health Research, Hillcrest, South Africa.
Erica DuegerSanofi S.A., Paris, France.
Cheryl CohenCentre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0003-0376-2302

Funding

Sanofi FLU00177
6 · The paper itself

Abstract

backgroundSurveillance programmes for influenza and other respiratory pathogens are important to generate vaccine effectiveness (VE) estimates and to inform vaccine composition. We aimed to explore the feasibility and acceptability of home-based testing.

methodsIn three out of nine provinces in South Africa, we established a self-referral system for individuals aged ≥ 18 years with respiratory symptoms of ≤ 10 days duration. Following consent, swab collection material was delivered to participants who also completed a questionnaire including self-reported vaccination status. Swabs were tested by PCR for influenza, respiratory syncytial virus (RSV) and SARS-CoV-2. A test-negative methodology was used to estimate influenza VE.

resultsOf 1456 samples collected between 19 November 2021 and 3 September 2022, 73 (5%) tested positive for influenza, 38 (3%) tested positive for RSV and 394 (27%) for SARS-CoV-2. We subtyped 55% (40/73) of the influenza positive specimens; 16/40 (40%) were influenza A(H1N1)pdm09; 10/40 (25%)A(H3N2)) and all 14/40(35%) influenza B were B/Victoria. Only 20% (279/1451) of participants reported influenza-like illness case definition symptoms of fever and cough. Influenza vaccine coverage was 11% (157/1454). The overall influenza VE was 26% (95% confidence interval: -73%, 69%). Of the completed acceptability questionnaires, 123/127 (97%) participants would make use of the service again; 90% (1306) were recruited via the COVID-19 testing centre (call in, social media, webpage), and 7% (99/1306) through CoughWatchSA.

conclusionsHome-based swabbing was feasible and acceptable. We were able to calculate an influenza VE, although a larger sample size and verification of vaccine status may improve the VE estimates in the future.

Indexed as

COVID-19Influenza, HumanInfluenza VaccinesAdolescentAdultAgedFemaleHumansMaleMiddle AgedPilot ProjectsRespiratory Syncytial Virus InfectionsSARS-CoV-2South AfricaSurveys and QuestionnairesVaccinationInfluenza Vaccineshome‐based self swabbinginfluenzainfluenza vaccine effectiveness

Identifiers

PMID39648401
PMCPMC11625678

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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.