File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Revisiting physical distancing threshold in indoor environment using infection-risk-based modeling

TitleRevisiting physical distancing threshold in indoor environment using infection-risk-based modeling
Authors
KeywordsInfection risk
Physical distancing
Speaking
Thermal stratification
Issue Date1-Aug-2021
PublisherElsevier
Citation
Environment International, 2021, v. 153 How to Cite?
Abstract

Physical distancing has been an important policy to mitigate the spread of the novel coronavirus disease 2019 (COVID-19) in public settings. However, the current 1–2 m physical distancing rule is based on the physics of droplet transport and could not directly translate into infection risk. We therefore revisit the 2-m physical distancing rule by developing an infection-risk-based model for human speaking. The key modeling framework components include viral load, droplets dispersion and evaporation, deposition efficiency, viral dose-response rate and infection risk. The results suggest that the one-size-fits-all 2-m physical distancing rule derived from the pure droplet-physics-based model is not applicable under some realistic indoor settings, and may rather increase transmission probability of diseases. Especially, in thermally stratified environments, the infection risk could exhibit multiple peaks for a long distance beyond 2 m. With Sobol's sensitivity analysis, most variance of the risk is found to be significantly attributable to the variability in temperature gradient, exposure time and breathing height difference. Our study suggests there is no such magic 2 m physical distancing rule for all environments, but it needs to be used alongside other strategies, such as using face cover, reducing exposure time, and controlling the thermal stratification of indoor environment.


Persistent Identifierhttp://hdl.handle.net/10722/350575
ISSN
2023 Impact Factor: 10.3
2023 SCImago Journal Rankings: 3.015

 

DC FieldValueLanguage
dc.contributor.authorLiu, Fan-
dc.contributor.authorLuo, Zhiwen-
dc.contributor.authorLi, Yuguo-
dc.contributor.authorZheng, Xiaohong-
dc.contributor.authorZhang, Chongyang-
dc.contributor.authorQian, Hua-
dc.date.accessioned2024-10-30T00:30:14Z-
dc.date.available2024-10-30T00:30:14Z-
dc.date.issued2021-08-01-
dc.identifier.citationEnvironment International, 2021, v. 153-
dc.identifier.issn0160-4120-
dc.identifier.urihttp://hdl.handle.net/10722/350575-
dc.description.abstract<p>Physical distancing has been an important policy to mitigate the spread of the novel coronavirus disease 2019 (COVID-19) in public settings. However, the current 1–2 m physical distancing rule is based on the physics of droplet transport and could not directly translate into infection risk. We therefore revisit the 2-m physical distancing rule by developing an infection-risk-based model for human speaking. The key modeling framework components include viral load, droplets dispersion and evaporation, deposition efficiency, viral dose-response rate and infection risk. The results suggest that the one-size-fits-all 2-m physical distancing rule derived from the pure droplet-physics-based model is not applicable under some realistic indoor settings, and may rather increase transmission probability of diseases. Especially, in thermally stratified environments, the infection risk could exhibit multiple peaks for a long distance beyond 2 m. With Sobol's sensitivity analysis, most variance of the risk is found to be significantly attributable to the variability in temperature gradient, exposure time and breathing height difference. Our study suggests there is no such magic 2 m physical distancing rule for all environments, but it needs to be used alongside other strategies, such as using face cover, reducing exposure time, and controlling the thermal stratification of indoor environment.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofEnvironment International-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectInfection risk-
dc.subjectPhysical distancing-
dc.subjectSpeaking-
dc.subjectThermal stratification-
dc.titleRevisiting physical distancing threshold in indoor environment using infection-risk-based modeling-
dc.typeArticle-
dc.identifier.doi10.1016/j.envint.2021.106542-
dc.identifier.pmid33819720-
dc.identifier.scopuseid_2-s2.0-85103948249-
dc.identifier.volume153-
dc.identifier.eissn1873-6750-
dc.identifier.issnl0160-4120-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats