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Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets

We have performed highly accurate numerical simulations to investigate prolonged dispersion of novel coronavirus-laden droplets in classroom air. Approximately 10,900 virus-laden droplets were released into the air by a teacher coughing and tracked for 90 min by numerical simulations. The teacher wa...

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Autores principales: Yamakawa, Masashi, Kitagawa, Atsuhide, Ogura, Kiyota, Chung, Yongmann M., Kim, Minsuok
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/PMC7869630/
https://www.ncbi.nlm.nih.gov/pubmed/33583950
http://dx.doi.org/10.1016/j.jaerosci.2021.105769
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author Yamakawa, Masashi
Kitagawa, Atsuhide
Ogura, Kiyota
Chung, Yongmann M.
Kim, Minsuok
author_facet Yamakawa, Masashi
Kitagawa, Atsuhide
Ogura, Kiyota
Chung, Yongmann M.
Kim, Minsuok
author_sort Yamakawa, Masashi
collection PubMed
description We have performed highly accurate numerical simulations to investigate prolonged dispersion of novel coronavirus-laden droplets in classroom air. Approximately 10,900 virus-laden droplets were released into the air by a teacher coughing and tracked for 90 min by numerical simulations. The teacher was standing in front of multiple students in a classroom. To estimate viral transmission to the students, we considered the features of the novel coronavirus, such as the virus half-life. The simulation results revealed that there was a high risk of prolonged airborne transmission of virus-laden droplets when the outlet flow of the classroom ventilation was low (i.e., 4.3 and 8.6 cm/s). The rates of remaining airborne virus-laden droplets produced by the teacher coughing were 40% and 15% after 45 and 90 min, respectively. The results revealed that students can avoid exposure to the virus-laden droplets by keeping a large distance from the teacher (5.5 m), which is more than two times farther than the currently suggested social distancing rules. The results of this study provide guidelines to set a new protection plan in the classroom to prevent airborne transmission of virus-laden droplets to students.
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spelling pubmed-78696302021-02-09 Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets Yamakawa, Masashi Kitagawa, Atsuhide Ogura, Kiyota Chung, Yongmann M. Kim, Minsuok J Aerosol Sci Article We have performed highly accurate numerical simulations to investigate prolonged dispersion of novel coronavirus-laden droplets in classroom air. Approximately 10,900 virus-laden droplets were released into the air by a teacher coughing and tracked for 90 min by numerical simulations. The teacher was standing in front of multiple students in a classroom. To estimate viral transmission to the students, we considered the features of the novel coronavirus, such as the virus half-life. The simulation results revealed that there was a high risk of prolonged airborne transmission of virus-laden droplets when the outlet flow of the classroom ventilation was low (i.e., 4.3 and 8.6 cm/s). The rates of remaining airborne virus-laden droplets produced by the teacher coughing were 40% and 15% after 45 and 90 min, respectively. The results revealed that students can avoid exposure to the virus-laden droplets by keeping a large distance from the teacher (5.5 m), which is more than two times farther than the currently suggested social distancing rules. The results of this study provide guidelines to set a new protection plan in the classroom to prevent airborne transmission of virus-laden droplets to students. The Authors. Published by Elsevier Ltd. 2021-06 2021-02-08 /pmc/articles/PMC7869630/ /pubmed/33583950 http://dx.doi.org/10.1016/j.jaerosci.2021.105769 Text en © 2021 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
Yamakawa, Masashi
Kitagawa, Atsuhide
Ogura, Kiyota
Chung, Yongmann M.
Kim, Minsuok
Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets
title Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets
title_full Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets
title_fullStr Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets
title_full_unstemmed Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets
title_short Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets
title_sort computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869630/
https://www.ncbi.nlm.nih.gov/pubmed/33583950
http://dx.doi.org/10.1016/j.jaerosci.2021.105769
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