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Modeling aerosol transmission of SARS-CoV-2 in multi-room facility

The versatile and computationally attractive FATE™ facility software package for analyzing the transient behavior of facilities during normal and off-normal conditions is applied to the problem of SARS-CoV-2 virus transmission in single-and multi-room facilities. Subject to the justifiable assumptio...

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Detalles Bibliográficos
Autores principales: Kennedy, Matthew, Lee, Sung Jin, Epstein, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644243/
https://www.ncbi.nlm.nih.gov/pubmed/33173256
http://dx.doi.org/10.1016/j.jlp.2020.104336
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author Kennedy, Matthew
Lee, Sung Jin
Epstein, Michael
author_facet Kennedy, Matthew
Lee, Sung Jin
Epstein, Michael
author_sort Kennedy, Matthew
collection PubMed
description The versatile and computationally attractive FATE™ facility software package for analyzing the transient behavior of facilities during normal and off-normal conditions is applied to the problem of SARS-CoV-2 virus transmission in single-and multi-room facilities. Subject to the justifiable assumptions of non-interacting virus droplets, room-wide spatially homogeneous virus droplet aerosols and droplet sedimentation in accordance with Stokes law; the FATE code tracks the virus aerosol from a human source through a facility with a practical ventilation system which reconditions, filters, and recycles the air. The results show that infection risk can be reduced by 50 percent for increased facility airflow, 70 percent for increased airflow and the inclusion of a HEPA filter on recirculated ventilation air, and nearly 90 percent for increased airflow, inclusion of a HEPA filter, and wearing a mask. These results clearly indicate that there are operational changes and engineering measures which can reduce the potential infection risk in multi-room facilities.
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spelling pubmed-76442432020-11-06 Modeling aerosol transmission of SARS-CoV-2 in multi-room facility Kennedy, Matthew Lee, Sung Jin Epstein, Michael J Loss Prev Process Ind Article The versatile and computationally attractive FATE™ facility software package for analyzing the transient behavior of facilities during normal and off-normal conditions is applied to the problem of SARS-CoV-2 virus transmission in single-and multi-room facilities. Subject to the justifiable assumptions of non-interacting virus droplets, room-wide spatially homogeneous virus droplet aerosols and droplet sedimentation in accordance with Stokes law; the FATE code tracks the virus aerosol from a human source through a facility with a practical ventilation system which reconditions, filters, and recycles the air. The results show that infection risk can be reduced by 50 percent for increased facility airflow, 70 percent for increased airflow and the inclusion of a HEPA filter on recirculated ventilation air, and nearly 90 percent for increased airflow, inclusion of a HEPA filter, and wearing a mask. These results clearly indicate that there are operational changes and engineering measures which can reduce the potential infection risk in multi-room facilities. The Authors. Published by Elsevier Ltd. 2021-03 2020-11-05 /pmc/articles/PMC7644243/ /pubmed/33173256 http://dx.doi.org/10.1016/j.jlp.2020.104336 Text en © 2020 The Authors 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
Kennedy, Matthew
Lee, Sung Jin
Epstein, Michael
Modeling aerosol transmission of SARS-CoV-2 in multi-room facility
title Modeling aerosol transmission of SARS-CoV-2 in multi-room facility
title_full Modeling aerosol transmission of SARS-CoV-2 in multi-room facility
title_fullStr Modeling aerosol transmission of SARS-CoV-2 in multi-room facility
title_full_unstemmed Modeling aerosol transmission of SARS-CoV-2 in multi-room facility
title_short Modeling aerosol transmission of SARS-CoV-2 in multi-room facility
title_sort modeling aerosol transmission of sars-cov-2 in multi-room facility
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644243/
https://www.ncbi.nlm.nih.gov/pubmed/33173256
http://dx.doi.org/10.1016/j.jlp.2020.104336
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