Evidence map›Paper›PMID 36603377›Full record

ArticleJournal of infection and public health2023

Effectiveness of influenza vaccination against SARS-CoV-2 infection among healthcare workers in Qatar.

Elias Tayar, Sami Abdeen, Muna Abed Alah, Hiam Chemaitelly, Iheb Bougmiza, Houssein H Ayoub, Anvar Hassan Kaleeckal, Ali Nizar Latif, Riyazuddin Mohammad Shaik, Hamad Eid Al-Romaihi and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of infection and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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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

14 authors at 5 institutions in 3 countries.

Elias TayarCommunity Medicine Department, Hamad Medical Corporation, Doha, Qatar. Electronic address: etayar@hamad.qa.
Sami AbdeenCommunity Medicine Department, Hamad Medical Corporation, Doha, Qatar. Electronic address: sabdeen@hamad.qa.
Muna Abed AlahCommunity Medicine Department, Hamad Medical Corporation, Doha, Qatar. Electronic address: mabedalah@hamad.qa.
Hiam ChemaitellyInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA. Electronic address: hsc2001@qatar-med.cornell.edu.
Iheb BougmizaCommunity Medicine Department, Primary Health Care Corporation, Doha, Qatar; Community Medicine Department, College of Medicine, Sousse University, Tunisia. Electronic address: mbougmiza@phcc.gov.qa.
Houssein H AyoubMathematics Program, Department of Mathematics, Statistics, and Physics, College of Arts and Sciences, Qatar University, Doha, Qatar. Electronic address: hayoub@qu.edu.qa.
Anvar Hassan KaleeckalBusiness Intelligence and Operational Performance Unit, Hamad Medical Corporation, Doha, Qatar. Electronic address: akaleeckal@hamad.qa.
Ali Nizar LatifBusiness Intelligence and Operational Performance Unit, Hamad Medical Corporation, Doha, Qatar. Electronic address: alatif2@hamad.qa.
Riyazuddin Mohammad ShaikBusiness Intelligence and Operational Performance Unit, Hamad Medical Corporation, Doha, Qatar. Electronic address: rshaik@hamad.qa.
Hamad Eid Al-RomaihiMinistry of Public Health, Doha, Qatar. Electronic address: halromaihi@moph.gov.qa.
Mohamed H Al-ThaniMinistry of Public Health, Doha, Qatar. Electronic address: malthani@moph.gov.qa.
Roberto BertolliniMinistry of Public Health, Doha, Qatar. Electronic address: rbertollini@moph.gov.qa.
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar; Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, USA; Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar. Electronic address: lja2002@qatar-med.cornell.edu.
Abdullatif Al-KhalMedical Education Department, Hamad Medical Corporation, Doha, Qatar. Electronic address: aalkhal@hamad.qa.
Hamad Medical Corporation · QAMinistry of Public Health · QACornell University · USPrimary Health Care · QAQatar University · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome studies have reported that influenza vaccination is associated with lower risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and/or coronavirus disease 2019 (COVID-19) morbidity and mortality. This study aims to estimate effectiveness of influenza vaccination, using Abbott's quadrivalent Influvac Tetra vaccine, against SARS-CoV-2 infection and against severe COVID-19.

methodsThis matched, test-negative, case-control study was implemented on a population of 30,774 healthcare workers (HCWs) in Qatar during the 2020 annual influenza vaccination campaign, September 17, 2020-December 31, 2020, before introduction of COVID-19 vaccination.

resultsOf 30,774 HCWs, 576 with PCR-positive tests and 10,033 with exclusively PCR-negative tests were eligible for inclusion in the study. Matching by sex, age, nationality, reason for PCR testing, and PCR test date yielded 518 cases matched to 2058 controls. Median duration between influenza vaccination and the PCR test was 43 days (IQR, 29-62). Estimated effectiveness of influenza vaccination against SARS-CoV-2 infection> 14 days after receiving the vaccine was 29.7% (95% CI: 5.5-47.7%). Estimated effectiveness of influenza vaccination against severe, critical, or fatal COVID-19 was 88.9% (95% CI: 4.1-98.7%). Sensitivity analyses confirmed the main analysis results.

conclusionsRecent influenza vaccination is associated with a significant reduction in the risk of SARS-CoV-2 infection and COVID-19 severity.

Indexed as

COVID-19Influenza, HumanCase-Control StudiesCOVID-19 VaccinesHealth PersonnelHumansQatarSARS-CoV-2VaccinationCOVID-19 VaccinesCase-controlCOVID-19EpidemiologyImmunityInfluenzaVaccine

Identifiers

PMID36603377
PMCPMC9791790
OpenAlexW4312182151

What OpenQuestion holds

Textmetadata
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.