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Occupational exposures and mitigation strategies among homeless shelter workers at risk of COVID-19.


ABSTRACT:

Objective

To describe the work environment and COVID-19 mitigation measures for homeless shelter workers and assess occupational risk factors for COVID-19.

Methods

Between June 9-August 10, 2020, we conducted a self-administered survey among homeless shelter workers in Washington, Massachusetts, Utah, Maryland, and Georgia. We calculated frequencies for work environment, personal protective equipment use, and SARS-CoV-2 testing history. We used generalized linear models to produce unadjusted prevalence ratios (PR) to assess risk factors for SARS-CoV-2 infection.

Results

Of the 106 respondents, 43.4% reported frequent close contact with clients; 75% were worried about work-related SARS-CoV-2 infections; 15% reported testing positive. Close contact with clients was associated with testing positive for SARS-CoV-2 (PR 3.97, 95%CI 1.06, 14.93).

Conclusions

Homeless shelter workers may be at risk of being exposed to individuals with COVID-19 during the course of their work. Frequent close contact with clients was associated with SARS-CoV-2 infection. Protecting these critical essential workers by implementing mitigation measures and prioritizing for COVID-19 vaccination is imperative during the pandemic.

SUBMITTER: Rao CY 

PROVIDER: S-EPMC8559982 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Occupational exposures and mitigation strategies among homeless shelter workers at risk of COVID-19.

Rao Carol Y CY   Robinson Tashina T   Huster Karin K   Laws Rebecca L RL   Keating Ryan R   Tobolowsky Farrell A FA   McMichael Temet M TM   Gonzales Elysia E   Mosites Emily E  

PloS one 20211101 11


<h4>Objective</h4>To describe the work environment and COVID-19 mitigation measures for homeless shelter workers and assess occupational risk factors for COVID-19.<h4>Methods</h4>Between June 9-August 10, 2020, we conducted a self-administered survey among homeless shelter workers in Washington, Massachusetts, Utah, Maryland, and Georgia. We calculated frequencies for work environment, personal protective equipment use, and SARS-CoV-2 testing history. We used generalized linear models to produce  ...[more]

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