Evidence map›Paper›PMID 35475035›Full record

ArticleThe Lancet regional health. Europe2022

Workplace contact patterns in England during the COVID-19 pandemic: Analysis of the Virus Watch prospective cohort study.

Sarah Beale, Susan Hoskins, Thomas Byrne, Wing Lam Erica Fong, Ellen Fragaszy, Cyril Geismar, Jana Kovar, Annalan M D Navaratnam, Vincent Nguyen, Parth Patel and 6 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  4. Occupation and SARS-CoV-2 in Europe: a review.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
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  16. Workplace contact patterns across occupational groups.The Lancet regional health. Europe · 2022
    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

16 authors at 4 institutions in 1 country.

Sarah BealeCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Susan HoskinsInstitute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
Thomas ByrneCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Wing Lam Erica FongCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Ellen FragaszyCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Cyril GeismarCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Jana KovarInstitute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
Annalan M D NavaratnamCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Vincent NguyenCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Parth PatelCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Alexei YavlinskyCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Anne M JohnsonInstitute for Global Health, University College London, London WC1N 1EH, UK.
Martie Van TongerenCentre for Occupational and Environmental Health, University of Manchester, Manchester M13 9PL, UK.
Robert W AldridgeCentre for Public Health Data Science, Institute of Health Informatics, University College London, NW1 2DA, UK.
Andrew HaywardInstitute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
Virus Watch Collaborative
Health Data Research UK · GBUniversity College London · GBUniversity of London · GBUniversity of Manchester · GB

Funding

Medical Research Council MC_PC_19070Medical Research Council MR/V028375/1
6 · The paper itself

Abstract

Background: Workplaces are an important potential source of SARS-CoV-2 exposure; however, investigation into workplace contact patterns is lacking. This study aimed to investigate how workplace attendance and features of contact varied between occupations across the COVID-19 pandemic in England. Methods: Data were obtained from electronic contact diaries (November 2020-November 2021) submitted by employed/self-employed prospective cohort study participants ( Findings: Workplace attendance and contact patterns varied across occupations and time. The predicted probability of intense space sharing during the day was highest for healthcare (78% [95% CI: 75-81%]) and education workers (64% [59%-69%]), who also had the highest probabilities for larger numbers of close contacts (36% [32%-40%] and 38% [33%-43%] respectively). Education workers also demonstrated relatively low predicted probability (51% [44%-57%]) of wearing a face covering during close contact. Across all occupational groups, workspace sharing and close contact increased and usage of face coverings decreased during phases of less stringent restrictions. Interpretation: Major variations in workplace contact patterns and mask use likely contribute to differential COVID-19 risk. Patterns of variation by occupation and restriction phase may inform interventions for future waves of COVID-19 or other respiratory epidemics. Across occupations, increasing workplace contact and reduced face covering usage is concerning given ongoing high levels of community transmission and emergence of variants. Funding: Medical Research Council; HM Government; Wellcome Trust.

Indexed as

COVID-19EpidemiologyOccupationPublic health

Identifiers

PMID35475035
PMCPMC9023315
OpenAlexW4225516630

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.