Evidence map›Paper›PMID 39689114›Full record

ArticlePloS one2024

Association between in situ ventilation and human-generated aerosol exposure in meatpacking plants during the COVID-19 pandemic.

Joshua L Santarpia, Josephine Lau, Debayan Shom, Shanna A Ratnesar-Shumate, Eric C Carnes, George W Santarpia, Vicki L Herrera, Danielle N Rivera, Daniel N Ackerman, Ashley R Ravnholdt and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Joshua L SantarpiaDepartment of Pathology, Microbiology and Immunology, College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.ORCID 0000-0002-9837-2341
Josephine LauDurham School of Architectural Engineering & Construction, College of Engineering, University of Nebraska Lincoln, Lincoln, Nebraska, United States of America.
Debayan ShomDurham School of Architectural Engineering & Construction, College of Engineering, University of Nebraska Lincoln, Lincoln, Nebraska, United States of America.
Shanna A Ratnesar-ShumateDepartment of Pathology, Microbiology and Immunology, College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Eric C CarnesGlobal Center for Health Security, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
George W SantarpiaDepartment of Environmental, Agricultural and Occupational Health, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Vicki L HerreraDepartment of Pathology, Microbiology and Immunology, College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Danielle N RiveraGlobal Center for Health Security, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Daniel N AckermanDepartment of Pathology, Microbiology and Immunology, College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.ORCID 0000-0002-5449-1031
Ashley R RavnholdtDepartment of Pathology, Microbiology and Immunology, College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.ORCID 0000-0003-2369-4028
John J LoweGlobal Center for Health Security, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Athena K RamosDepartment of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, meatpacking workers were disproportionately affected by disease. Large outbreaks at meatpacking facilities resulted in loss of life and threatened the well-being of workers across the globe. Much work was done throughout the pandemic to understand and prevent these outbreaks. This study combined ventilation system evaluation and measurement of human-generated respiratory aerosol to investigate and identify areas of highest risk for disease transmission. These findings confirm that improved ventilation reduces exposure to human-generated aerosols in meatpacking facilities, including those that may contain infectious agents, such as SARS-CoV-2. This study suggests areas of greatest risk are likely areas where workers break from work, such as cafeterias and locker rooms, where ventilation is poorer, use of face masks is reduced, and people congregate. Furthermore, these findings also suggest that ventilation of production areas of the plant, which have been designed for food safety, is sufficient to reduce exposures and likely contributes to reduced transmission in those spaces. Based on these findings, two controls should be prioritized to minimize the likelihood of exposure to potentially infectious aerosols: (1) improving mechanical ventilation and/or adding mitigation strategies such as media filters, germicidal ultraviolet, and other air cleaning technology and (2) applying administrative practices that minimize large congregations of people in poorly ventilated spaces. Importantly, this work demonstrates a method for in situ measurements of human-generated particles that can be used more broadly to understand exposure and risk in various occupied spaces.

Indexed as

COVID-19SARS-CoV-2VentilationAerosolsHumansOccupational ExposurePandemicsRespiratory Aerosols and DropletsAerosols

Identifiers

PMID39689114
PMCPMC11651551

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.