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Modeling the spread of COVID-19 on construction workers: An agent-based approach
As the spread of COVID-19 has continued since December 2019, stay at home orders around the globe have changed how we live our lives, mostly from physical to virtual interactions, such as going to college and doing our jobs; however, some activities are basically impossible to perform virtually, suc...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522627/ https://www.ncbi.nlm.nih.gov/pubmed/33012995 http://dx.doi.org/10.1016/j.ssci.2020.105022 |
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author | Araya, Felipe |
author_facet | Araya, Felipe |
author_sort | Araya, Felipe |
collection | PubMed |
description | As the spread of COVID-19 has continued since December 2019, stay at home orders around the globe have changed how we live our lives, mostly from physical to virtual interactions, such as going to college and doing our jobs; however, some activities are basically impossible to perform virtually, such as construction activities. Thus, the construction sector has been highly disrupted by the current pandemic. The construction sector represents a key component of countries’ economies—it is approximately 13% of global GDP—as such, having the availability to perform construction activities with a minimum spread of COVID-19 may help to the financial response to the pandemic. Given this context, this study aims to understand the potential impact of COVID-19 on construction workers using an agent-based modeling approach. Activities are classified as being of low-medium–high risk for workers, and the spread of COVID-19 is simulated among construction workers in a project. This study found that the workforce from a construction project may be reduced by 30% to 90% due to the spread of COVID-19. Understanding how COVID-19 may spread among construction workers may assist construction project managers in creating adequate conditions for workers to perform their job, minimizing the chances of getting infected with COVID-19. |
format | Online Article Text |
id | pubmed-7522627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75226272020-09-29 Modeling the spread of COVID-19 on construction workers: An agent-based approach Araya, Felipe Saf Sci Article As the spread of COVID-19 has continued since December 2019, stay at home orders around the globe have changed how we live our lives, mostly from physical to virtual interactions, such as going to college and doing our jobs; however, some activities are basically impossible to perform virtually, such as construction activities. Thus, the construction sector has been highly disrupted by the current pandemic. The construction sector represents a key component of countries’ economies—it is approximately 13% of global GDP—as such, having the availability to perform construction activities with a minimum spread of COVID-19 may help to the financial response to the pandemic. Given this context, this study aims to understand the potential impact of COVID-19 on construction workers using an agent-based modeling approach. Activities are classified as being of low-medium–high risk for workers, and the spread of COVID-19 is simulated among construction workers in a project. This study found that the workforce from a construction project may be reduced by 30% to 90% due to the spread of COVID-19. Understanding how COVID-19 may spread among construction workers may assist construction project managers in creating adequate conditions for workers to perform their job, minimizing the chances of getting infected with COVID-19. Elsevier Ltd. 2021-01 2020-09-29 /pmc/articles/PMC7522627/ /pubmed/33012995 http://dx.doi.org/10.1016/j.ssci.2020.105022 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Araya, Felipe Modeling the spread of COVID-19 on construction workers: An agent-based approach |
title | Modeling the spread of COVID-19 on construction workers: An agent-based approach |
title_full | Modeling the spread of COVID-19 on construction workers: An agent-based approach |
title_fullStr | Modeling the spread of COVID-19 on construction workers: An agent-based approach |
title_full_unstemmed | Modeling the spread of COVID-19 on construction workers: An agent-based approach |
title_short | Modeling the spread of COVID-19 on construction workers: An agent-based approach |
title_sort | modeling the spread of covid-19 on construction workers: an agent-based approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522627/ https://www.ncbi.nlm.nih.gov/pubmed/33012995 http://dx.doi.org/10.1016/j.ssci.2020.105022 |
work_keys_str_mv | AT arayafelipe modelingthespreadofcovid19onconstructionworkersanagentbasedapproach |