Evidence map›Paper›PMID 35545421›Full record

SynthesisEpidemiology and infection2022

Workplace exposures associated with COVID-19: evidence from a case-control study with multiple sampling periods in England, August-October 2020.

Iina Hiironen, María Saavedra-Campos, Jennifer Panitz, Thomas Ma, Olisaeloka Nsonwu, Andre Charlett, Gareth J Hughes, Isabel Oliver

Abstract readMeta-Analysis
In one paragraph

Synthesis in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Iina HiironenUK Health Security Agency, London, UK.ORCID 0000-0002-9714-1488
María Saavedra-CamposUK Health Security Agency, London, UK.
Jennifer PanitzUK Health Security Agency, London, UK.
Thomas MaUK Health Security Agency, London, UK.
Olisaeloka NsonwuUK Health Security Agency, London, UK.
Andre CharlettUK Health Security Agency, London, UK.
Gareth J HughesUK Health Security Agency, Leeds, UK.ORCID 0000-0002-3781-0117
Isabel OliverUK Health Security Agency, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated risk factors associated with COVID-19 by conducting a retrospective, frequency-matched case-control study, with three sampling periods (August-October 2020). We compared cases completing routine contact tracing to asymptomatic population controls. Multivariable analyses estimated adjusted odds ratios (aORs) for non-household community settings. Meta-analyses using random effects provided pooled odds ratios (pORs). Working in healthcare (pOR 2.87; aORs 2.72, 2.81, 3.08, for study periods 1-3 respectively), social care (pOR 4.15; aORs 2.46, 5.06, 5.41, for study periods 1-3 respectively) or hospitality (pOR 2.36; aORs 2.01, 2.54, 2.63, for study periods 1-3 respectively) were associated with increased odds of being a COVID-19 case. Additionally, working in bars, pubs and restaurants, warehouse settings, construction, educational settings were significantly associated. While definitively determining where transmission occurs is impossible, we provide evidence that in certain sectors, the impact of mitigation measures may only be partial and reinforcement of measures should be considered in these settings.

Indexed as

COVID-19Case-Control StudiesHumansRetrospective StudiesSARS-CoV-2WorkplaceCase-control studyCOVID-19meta-analysisrisk factorsSARS-CoV-2transmissionworkplace

Identifiers

PMID35545421
PMCPMC9151636

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.