Evidence map›Paper›PMID 35704063›Full record

ArticleAnnals of work exposures and health2023

An Ecological Study of COVID-19 Infection Rates within the UK Food and Drink Processing Industry.

William Mueller, Miranda Loh, Tony Fletcher, Sarah Rhodes, Lucy Pembrey, Neil Pearce, Martie van Tongeren

Abstract read
In one paragraph

Article in Annals of work exposures and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

William MuellerResearch Institute of Occupational Medicine, Edinburgh, UK.ORCID 0000-0001-8712-736X
Miranda LohResearch Institute of Occupational Medicine, Edinburgh, UK.ORCID 0000-0002-4285-0375
Tony FletcherFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Sarah RhodesCentre for Occupational and Environmental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Lucy PembreyFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Neil PearceFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-9938-7852
Martie van TongerenCentre for Occupational and Environmental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-1205-1898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFood processing facilities represent critical infrastructure that have stayed open during much of the COVID-19 pandemic. Understanding the burden of COVID-19 in this sector is thus important to help reduce the potential for workplace infection in future outbreaks.

methodsWe undertook a workplace survey in the UK food and drink processing sector and collected information on workplace size, characteristics (e.g. temperature, ventilation), and experience with COVID-19 (e.g. numbers of positive cases). For each site, we calculated COVID-19 case rates per month per 1000 workers. We performed an ecological analysis using negative binomial regression to assess the association between COVID-19 rates and workplace and local risk factors.

resultsRespondents from 33 companies including 66 individual sites completed the survey. COVID-19 cases were reported from the start of the pandemic up to June 2021. Respondents represented a range of industry subgroups, including grain milling/storage (n = 16), manufacture of malt (n = 14), manufacture of prepared meals (n = 12), manufacture of beverages (n = 8), distilling (n = 5), manufacture of baked goods (n = 5), and other (n = 6), with a total of 15 563 workers across all sites. Average monthly case rates per 1000 workers ranged from 0.9 in distilling to 6.1 in grain milling/storage. Incidence rate ratios were partially attenuated after adjusting for several local and workplace factors, though risks for one subgroup (grain milling/storage) remained elevated. Certain local and workplace characteristics were related to higher infection rates, such as higher deprivation (5 km only), a lower proportion of remote workers, lower proportion of workers in close proximity, and higher numbers of workers overall.

conclusionsOur analysis suggests some heterogeneity in the rates of COVID-19 across sectors of the UK food and drink processing industry. Infection rates were associated with deprivation, the proportions of remote workers and workers in close proximity, and the number of workers.

Indexed as

COVID-19Occupational ExposureHumansPandemicsUnited KingdomWorkplaceCOVID-19infection controloccupational healthpandemicworkplace transmission

Identifiers

PMID35704063
PMCPMC9214181

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Registered trials

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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.