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Estimated Association of Construction Work With Risks of COVID-19 Infection and Hospitalization in Texas

IMPORTANCE: Policy makers have relaxed restrictions for certain nonessential industries, including construction, jeopardizing the effectiveness of social distancing measures and putting already at-risk populations at greater risk of coronavirus disease 2019 (COVID-19) infection. In Texas, Latinx pop...

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Autores principales: Pasco, Remy F., Fox, Spencer J., Johnston, S. Claiborne, Pignone, Michael, Meyers, Lauren Ancel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596583/
https://www.ncbi.nlm.nih.gov/pubmed/33119111
http://dx.doi.org/10.1001/jamanetworkopen.2020.26373
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author Pasco, Remy F.
Fox, Spencer J.
Johnston, S. Claiborne
Pignone, Michael
Meyers, Lauren Ancel
author_facet Pasco, Remy F.
Fox, Spencer J.
Johnston, S. Claiborne
Pignone, Michael
Meyers, Lauren Ancel
author_sort Pasco, Remy F.
collection PubMed
description IMPORTANCE: Policy makers have relaxed restrictions for certain nonessential industries, including construction, jeopardizing the effectiveness of social distancing measures and putting already at-risk populations at greater risk of coronavirus disease 2019 (COVID-19) infection. In Texas, Latinx populations are overly represented among construction workers, and thus have elevated rates of exposure that are compounded by prevalent high-risk comorbidities and lack of access to health care. OBJECTIVE: To assess the association between construction work during the COVID-19 pandemic and hospitalization rates for construction workers and the surrounding community. DESIGN, SETTING, AND PARTICIPANTS: This decision analytical model used a mathematical model of COVID-19 transmission, stratified by age and risk group, with construction workers modeled explicitly. The model was based on residents of the Austin–Round Rock metropolitan statistical area, with a population of 2.17 million. Based on 500 stochastic simulations for each of 15 scenarios that varied the size of the construction workforce and level of worksite transmission risk, the association between continued construction work and hospitalizations was estimated and then compared with anonymized line-list hospitalization data from central Texas through August 20, 2020. EXPOSURES: Social distancing interventions, size of construction workforce, and level of disease transmission at construction worksites. MAIN OUTCOMES AND MEASURES: For each scenario, the total number of COVID-19 hospitalizations and the relative risk of hospitalization among construction workers was projected and then compared with relative risks estimated from reported hospitalization data. RESULTS: Allowing unrestricted construction work was associated with an increase of COVID-19 hospitalization rates through mid-August 2020 from 0.38 per 1000 residents to 1.5 per 1000 residents and from 0.22 per 1000 construction workers to 9.3 per 1000 construction workers. This increased risk was estimated to be offset by safety measures (such as thorough cleaning of equipment between uses, wearing of protective equipment, limits on the number of workers at a worksite, and increased health surveillance) that were associated with a 50% decrease in transmission. The observed relative risk of hospitalization among construction workers compared with other occupational categories among adults aged 18 to 64 years was 4.9 (95% CI, 3.8-6.2). CONCLUSIONS AND RELEVANCE: The findings of this study suggest that unrestricted work in high-contact industries, such as construction, is associated with a higher level of community transmission, increased risks to at-risk workers, and larger health disparities among members of racial and ethnic minority groups.
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spelling pubmed-75965832020-11-05 Estimated Association of Construction Work With Risks of COVID-19 Infection and Hospitalization in Texas Pasco, Remy F. Fox, Spencer J. Johnston, S. Claiborne Pignone, Michael Meyers, Lauren Ancel JAMA Netw Open Original Investigation IMPORTANCE: Policy makers have relaxed restrictions for certain nonessential industries, including construction, jeopardizing the effectiveness of social distancing measures and putting already at-risk populations at greater risk of coronavirus disease 2019 (COVID-19) infection. In Texas, Latinx populations are overly represented among construction workers, and thus have elevated rates of exposure that are compounded by prevalent high-risk comorbidities and lack of access to health care. OBJECTIVE: To assess the association between construction work during the COVID-19 pandemic and hospitalization rates for construction workers and the surrounding community. DESIGN, SETTING, AND PARTICIPANTS: This decision analytical model used a mathematical model of COVID-19 transmission, stratified by age and risk group, with construction workers modeled explicitly. The model was based on residents of the Austin–Round Rock metropolitan statistical area, with a population of 2.17 million. Based on 500 stochastic simulations for each of 15 scenarios that varied the size of the construction workforce and level of worksite transmission risk, the association between continued construction work and hospitalizations was estimated and then compared with anonymized line-list hospitalization data from central Texas through August 20, 2020. EXPOSURES: Social distancing interventions, size of construction workforce, and level of disease transmission at construction worksites. MAIN OUTCOMES AND MEASURES: For each scenario, the total number of COVID-19 hospitalizations and the relative risk of hospitalization among construction workers was projected and then compared with relative risks estimated from reported hospitalization data. RESULTS: Allowing unrestricted construction work was associated with an increase of COVID-19 hospitalization rates through mid-August 2020 from 0.38 per 1000 residents to 1.5 per 1000 residents and from 0.22 per 1000 construction workers to 9.3 per 1000 construction workers. This increased risk was estimated to be offset by safety measures (such as thorough cleaning of equipment between uses, wearing of protective equipment, limits on the number of workers at a worksite, and increased health surveillance) that were associated with a 50% decrease in transmission. The observed relative risk of hospitalization among construction workers compared with other occupational categories among adults aged 18 to 64 years was 4.9 (95% CI, 3.8-6.2). CONCLUSIONS AND RELEVANCE: The findings of this study suggest that unrestricted work in high-contact industries, such as construction, is associated with a higher level of community transmission, increased risks to at-risk workers, and larger health disparities among members of racial and ethnic minority groups. American Medical Association 2020-10-29 /pmc/articles/PMC7596583/ /pubmed/33119111 http://dx.doi.org/10.1001/jamanetworkopen.2020.26373 Text en Copyright 2020 Pasco RF et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Pasco, Remy F.
Fox, Spencer J.
Johnston, S. Claiborne
Pignone, Michael
Meyers, Lauren Ancel
Estimated Association of Construction Work With Risks of COVID-19 Infection and Hospitalization in Texas
title Estimated Association of Construction Work With Risks of COVID-19 Infection and Hospitalization in Texas
title_full Estimated Association of Construction Work With Risks of COVID-19 Infection and Hospitalization in Texas
title_fullStr Estimated Association of Construction Work With Risks of COVID-19 Infection and Hospitalization in Texas
title_full_unstemmed Estimated Association of Construction Work With Risks of COVID-19 Infection and Hospitalization in Texas
title_short Estimated Association of Construction Work With Risks of COVID-19 Infection and Hospitalization in Texas
title_sort estimated association of construction work with risks of covid-19 infection and hospitalization in texas
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596583/
https://www.ncbi.nlm.nih.gov/pubmed/33119111
http://dx.doi.org/10.1001/jamanetworkopen.2020.26373
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