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Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets
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Yamakawa, Masashi, Kitagawa, Atsuhide, Ogura, Kiyota, Chung, Yongmann M. and Kim, Minsuok (2021) Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets. Journal of aerosol science, 155 . 105769. doi:10.1016/j.jaerosci.2021.105769 ISSN 0021-8502.
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Official URL: https://doi.org/10.1016/j.jaerosci.2021.105769
Abstract
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.
Item Type: | Journal Article | ||||||||
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Subjects: | R Medicine > RA Public aspects of medicine | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
SWORD Depositor: | Library Publications Router | ||||||||
Library of Congress Subject Headings (LCSH): | COVID-19 (Disease) -- Mathematical models, Airborne infection, COVID-19 (Disease) -- Transmission, Epidemiology -- Mathematical models | ||||||||
Journal or Publication Title: | Journal of aerosol science | ||||||||
Publisher: | Elsevier | ||||||||
ISSN: | 0021-8502 | ||||||||
Official Date: | June 2021 | ||||||||
Dates: |
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Volume: | 155 | ||||||||
Article Number: | 105769 | ||||||||
DOI: | 10.1016/j.jaerosci.2021.105769 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 11 February 2022 | ||||||||
Date of first compliant Open Access: | 14 February 2022 |
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