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Optimized workplace risk mitigation measures for SARS-CoV-2 in 2022

596 million SARS-CoV-2 cases have been reported and over 12 billion vaccine doses have been administered. As vaccination rates increase, a gap in knowledge exists regarding appropriate thresholds for escalation and de-escalation of workplace COVID-19 preventative measures. We conducted 133,056 simul...

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Autores principales: Pettit, Rowland, Peng, Bo, Yu, Patrick, Matos, Peter G., Greninger, Alexander L., McCashin, Julie, Amos, Christopher Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933026/
https://www.ncbi.nlm.nih.gov/pubmed/36797293
http://dx.doi.org/10.1038/s41598-023-29087-w
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author Pettit, Rowland
Peng, Bo
Yu, Patrick
Matos, Peter G.
Greninger, Alexander L.
McCashin, Julie
Amos, Christopher Ian
author_facet Pettit, Rowland
Peng, Bo
Yu, Patrick
Matos, Peter G.
Greninger, Alexander L.
McCashin, Julie
Amos, Christopher Ian
author_sort Pettit, Rowland
collection PubMed
description 596 million SARS-CoV-2 cases have been reported and over 12 billion vaccine doses have been administered. As vaccination rates increase, a gap in knowledge exists regarding appropriate thresholds for escalation and de-escalation of workplace COVID-19 preventative measures. We conducted 133,056 simulation experiments, evaluating the spread of SARS-CoV-2 virus in hypothesized working environments subject to COVID-19 infections from the community. We tested the rates of workplace-acquired infections based on applied isolation strategies, community infection rates, methods and scales of testing, non-pharmaceutical interventions, variant predominance, vaccination coverages, and vaccination efficacies. When 75% of a workforce is vaccinated with a 70% efficacious vaccine against infection, then no masking or routine testing + isolation strategies are needed to prevent workplace-acquired omicron variant infections when the community infection rate per 100,000 persons is ≤ 1. A CIR ≤ 30, and ≤ 120 would result in no workplace-acquired infections in this same scenario against the delta and alpha variants, respectively. Workforces with 100% worker vaccination can prevent workplace-acquired infections with higher community infection rates. Identifying and isolating workers with antigen-based SARS-CoV-2 testing methods results in the same or fewer workplace-acquired infections than testing with slower turnaround time polymerase chain reaction methods. Risk migration measures such as mask-wearing, testing, and isolation can be relaxed, or escalated, in commensurate with levels of community infections, workforce immunization, and risk tolerance. The interactive heatmap we provide can be used for immediate, parameter-based case count predictions to inform institutional policy making. The simulation approach we have described can be further used for future evaluation of strategies to mitigate COVID-19 spread.
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spelling pubmed-99330262023-02-16 Optimized workplace risk mitigation measures for SARS-CoV-2 in 2022 Pettit, Rowland Peng, Bo Yu, Patrick Matos, Peter G. Greninger, Alexander L. McCashin, Julie Amos, Christopher Ian Sci Rep Article 596 million SARS-CoV-2 cases have been reported and over 12 billion vaccine doses have been administered. As vaccination rates increase, a gap in knowledge exists regarding appropriate thresholds for escalation and de-escalation of workplace COVID-19 preventative measures. We conducted 133,056 simulation experiments, evaluating the spread of SARS-CoV-2 virus in hypothesized working environments subject to COVID-19 infections from the community. We tested the rates of workplace-acquired infections based on applied isolation strategies, community infection rates, methods and scales of testing, non-pharmaceutical interventions, variant predominance, vaccination coverages, and vaccination efficacies. When 75% of a workforce is vaccinated with a 70% efficacious vaccine against infection, then no masking or routine testing + isolation strategies are needed to prevent workplace-acquired omicron variant infections when the community infection rate per 100,000 persons is ≤ 1. A CIR ≤ 30, and ≤ 120 would result in no workplace-acquired infections in this same scenario against the delta and alpha variants, respectively. Workforces with 100% worker vaccination can prevent workplace-acquired infections with higher community infection rates. Identifying and isolating workers with antigen-based SARS-CoV-2 testing methods results in the same or fewer workplace-acquired infections than testing with slower turnaround time polymerase chain reaction methods. Risk migration measures such as mask-wearing, testing, and isolation can be relaxed, or escalated, in commensurate with levels of community infections, workforce immunization, and risk tolerance. The interactive heatmap we provide can be used for immediate, parameter-based case count predictions to inform institutional policy making. The simulation approach we have described can be further used for future evaluation of strategies to mitigate COVID-19 spread. Nature Publishing Group UK 2023-02-16 /pmc/articles/PMC9933026/ /pubmed/36797293 http://dx.doi.org/10.1038/s41598-023-29087-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pettit, Rowland
Peng, Bo
Yu, Patrick
Matos, Peter G.
Greninger, Alexander L.
McCashin, Julie
Amos, Christopher Ian
Optimized workplace risk mitigation measures for SARS-CoV-2 in 2022
title Optimized workplace risk mitigation measures for SARS-CoV-2 in 2022
title_full Optimized workplace risk mitigation measures for SARS-CoV-2 in 2022
title_fullStr Optimized workplace risk mitigation measures for SARS-CoV-2 in 2022
title_full_unstemmed Optimized workplace risk mitigation measures for SARS-CoV-2 in 2022
title_short Optimized workplace risk mitigation measures for SARS-CoV-2 in 2022
title_sort optimized workplace risk mitigation measures for sars-cov-2 in 2022
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933026/
https://www.ncbi.nlm.nih.gov/pubmed/36797293
http://dx.doi.org/10.1038/s41598-023-29087-w
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