Close proximity risk assessment for SARS-CoV-2 infection
Although the interpersonal distance represents an important parameter affecting the risk of infection due to respiratory viruses, the mechanism of exposure to exhaled droplets remains insufficiently characterized. In this study, an integrated risk assessment is presented for SARS-CoV-2 close proximi...
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Veröffentlicht in: | The Science of the total environment 2021-11, Vol.794, p.148749-148749, Article 148749 |
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creator | Cortellessa, G. Stabile, L. Arpino, F. Faleiros, D.E. van den Bos, W. Morawska, L. Buonanno, G. |
description | Although the interpersonal distance represents an important parameter affecting the risk of infection due to respiratory viruses, the mechanism of exposure to exhaled droplets remains insufficiently characterized. In this study, an integrated risk assessment is presented for SARS-CoV-2 close proximity exposure between a speaking infectious subject and a susceptible subject. It is based on a three-dimensional transient numerical model for the description of exhaled droplet spread once emitted by a speaking person, coupled with a recently proposed SARS-CoV-2 emission approach. Particle image velocimetry measurements were conducted to validate the numerical model.
The contribution of the large droplets to the risk is barely noticeable only for distances well below 0.6 m, whereas it drops to zero for greater distances where it depends only on airborne droplets. In particular, for short exposures (10 s) a minimum safety distance of 0.75 m should be maintained to lower the risk below 0.1%; for exposures of 1 and 15 min this distance increases to about 1.1 and 1.5 m, respectively. Based on the interpersonal distances across countries reported as a function of interacting individuals, cultural differences, and environmental and sociopsychological factors, the approach presented here revealed that, in addition to intimate and personal distances, particular attention must be paid to exposures longer than 1 min within social distances (of about 1 m).
[Display omitted]
•Numerical simulation of the airborne transmission of SARS-CoV-2 virus•Estimate of the SARS-CoV-2 risk of infection due to the close proximity•Infection risk in close-contact is dominated by airborne droplets.•Large droplet contribution to infection risk barely noticeable only for distances well below 0.6 m•A minimum safety distance of 1.5 m can guarantee an acceptable risk ( |
doi_str_mv | 10.1016/j.scitotenv.2021.148749 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8242194</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0048969721038213</els_id><sourcerecordid>2548914922</sourcerecordid><originalsourceid>FETCH-LOGICAL-c541t-b2eac1e20cf1ee12bb8f7cdeea4a823d8a3b9714d406ebc022039df0252523773</originalsourceid><addsrcrecordid>eNqFkEFv2zAMhYVhxZp1-wutj7s4E2k5ki4FgmDtBhQYsG67CrJMr0ptK5WcYP33VZAuaE8jDzzw8T3iY-wC-Bw4LD6v58n5KUw07ubIEeYglBT6DZuBkroEjou3bMa5UKVeaHnK3qe05rmkgnfstBKINdRyxtSqD4mKTQx__eCnxyL6dF_YlCilgcap6EIsbpc_bstV-F1i4ceO3OTD-IGddLZP9PF5nrFfV19-rr6WN9-vv62WN6WrBUxlg2QdEHLXARFg06hOupbICquwapWtGi1BtIIvqHEckVe67TjWuSspqzN2efDdbJuBWpd_irY3m-gHGx9NsN683oz-zvwJO6NQIGiRDT49G8TwsKU0mcEnR31vRwrbZLAWSoPQiFkqD1IXQ0qRumMMcLPnbtbmyN3suZsD93x5_vLL490_0FmwPAgos9p5insjGh21Pmagpg3-vyFPaHqZYg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2548914922</pqid></control><display><type>article</type><title>Close proximity risk assessment for SARS-CoV-2 infection</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Cortellessa, G. ; Stabile, L. ; Arpino, F. ; Faleiros, D.E. ; van den Bos, W. ; Morawska, L. ; Buonanno, G.</creator><creatorcontrib>Cortellessa, G. ; Stabile, L. ; Arpino, F. ; Faleiros, D.E. ; van den Bos, W. ; Morawska, L. ; Buonanno, G.</creatorcontrib><description>Although the interpersonal distance represents an important parameter affecting the risk of infection due to respiratory viruses, the mechanism of exposure to exhaled droplets remains insufficiently characterized. In this study, an integrated risk assessment is presented for SARS-CoV-2 close proximity exposure between a speaking infectious subject and a susceptible subject. It is based on a three-dimensional transient numerical model for the description of exhaled droplet spread once emitted by a speaking person, coupled with a recently proposed SARS-CoV-2 emission approach. Particle image velocimetry measurements were conducted to validate the numerical model.
The contribution of the large droplets to the risk is barely noticeable only for distances well below 0.6 m, whereas it drops to zero for greater distances where it depends only on airborne droplets. In particular, for short exposures (10 s) a minimum safety distance of 0.75 m should be maintained to lower the risk below 0.1%; for exposures of 1 and 15 min this distance increases to about 1.1 and 1.5 m, respectively. Based on the interpersonal distances across countries reported as a function of interacting individuals, cultural differences, and environmental and sociopsychological factors, the approach presented here revealed that, in addition to intimate and personal distances, particular attention must be paid to exposures longer than 1 min within social distances (of about 1 m).
[Display omitted]
•Numerical simulation of the airborne transmission of SARS-CoV-2 virus•Estimate of the SARS-CoV-2 risk of infection due to the close proximity•Infection risk in close-contact is dominated by airborne droplets.•Large droplet contribution to infection risk barely noticeable only for distances well below 0.6 m•A minimum safety distance of 1.5 m can guarantee an acceptable risk (<0.1%).</description><identifier>ISSN: 0048-9697</identifier><identifier>ISSN: 1879-1026</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2021.148749</identifier><identifier>PMID: 34225157</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Aerosols ; CFD analysis ; Close proximity ; COVID-19 - transmission ; Droplets ; Exhalation ; Humans ; PIV ; Risk Assessment ; SARS-CoV-2 ; Virus transmission</subject><ispartof>The Science of the total environment, 2021-11, Vol.794, p.148749-148749, Article 148749</ispartof><rights>2021 Elsevier B.V.</rights><rights>Copyright © 2021 Elsevier B.V. All rights reserved.</rights><rights>2021 Elsevier B.V. All rights reserved. 2021 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-b2eac1e20cf1ee12bb8f7cdeea4a823d8a3b9714d406ebc022039df0252523773</citedby><cites>FETCH-LOGICAL-c541t-b2eac1e20cf1ee12bb8f7cdeea4a823d8a3b9714d406ebc022039df0252523773</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.scitotenv.2021.148749$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34225157$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cortellessa, G.</creatorcontrib><creatorcontrib>Stabile, L.</creatorcontrib><creatorcontrib>Arpino, F.</creatorcontrib><creatorcontrib>Faleiros, D.E.</creatorcontrib><creatorcontrib>van den Bos, W.</creatorcontrib><creatorcontrib>Morawska, L.</creatorcontrib><creatorcontrib>Buonanno, G.</creatorcontrib><title>Close proximity risk assessment for SARS-CoV-2 infection</title><title>The Science of the total environment</title><addtitle>Sci Total Environ</addtitle><description>Although the interpersonal distance represents an important parameter affecting the risk of infection due to respiratory viruses, the mechanism of exposure to exhaled droplets remains insufficiently characterized. In this study, an integrated risk assessment is presented for SARS-CoV-2 close proximity exposure between a speaking infectious subject and a susceptible subject. It is based on a three-dimensional transient numerical model for the description of exhaled droplet spread once emitted by a speaking person, coupled with a recently proposed SARS-CoV-2 emission approach. Particle image velocimetry measurements were conducted to validate the numerical model.
The contribution of the large droplets to the risk is barely noticeable only for distances well below 0.6 m, whereas it drops to zero for greater distances where it depends only on airborne droplets. In particular, for short exposures (10 s) a minimum safety distance of 0.75 m should be maintained to lower the risk below 0.1%; for exposures of 1 and 15 min this distance increases to about 1.1 and 1.5 m, respectively. Based on the interpersonal distances across countries reported as a function of interacting individuals, cultural differences, and environmental and sociopsychological factors, the approach presented here revealed that, in addition to intimate and personal distances, particular attention must be paid to exposures longer than 1 min within social distances (of about 1 m).
[Display omitted]
•Numerical simulation of the airborne transmission of SARS-CoV-2 virus•Estimate of the SARS-CoV-2 risk of infection due to the close proximity•Infection risk in close-contact is dominated by airborne droplets.•Large droplet contribution to infection risk barely noticeable only for distances well below 0.6 m•A minimum safety distance of 1.5 m can guarantee an acceptable risk (<0.1%).</description><subject>Aerosols</subject><subject>CFD analysis</subject><subject>Close proximity</subject><subject>COVID-19 - transmission</subject><subject>Droplets</subject><subject>Exhalation</subject><subject>Humans</subject><subject>PIV</subject><subject>Risk Assessment</subject><subject>SARS-CoV-2</subject><subject>Virus transmission</subject><issn>0048-9697</issn><issn>1879-1026</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkEFv2zAMhYVhxZp1-wutj7s4E2k5ki4FgmDtBhQYsG67CrJMr0ptK5WcYP33VZAuaE8jDzzw8T3iY-wC-Bw4LD6v58n5KUw07ubIEeYglBT6DZuBkroEjou3bMa5UKVeaHnK3qe05rmkgnfstBKINdRyxtSqD4mKTQx__eCnxyL6dF_YlCilgcap6EIsbpc_bstV-F1i4ceO3OTD-IGddLZP9PF5nrFfV19-rr6WN9-vv62WN6WrBUxlg2QdEHLXARFg06hOupbICquwapWtGi1BtIIvqHEckVe67TjWuSspqzN2efDdbJuBWpd_irY3m-gHGx9NsN683oz-zvwJO6NQIGiRDT49G8TwsKU0mcEnR31vRwrbZLAWSoPQiFkqD1IXQ0qRumMMcLPnbtbmyN3suZsD93x5_vLL490_0FmwPAgos9p5insjGh21Pmagpg3-vyFPaHqZYg</recordid><startdate>20211110</startdate><enddate>20211110</enddate><creator>Cortellessa, G.</creator><creator>Stabile, L.</creator><creator>Arpino, F.</creator><creator>Faleiros, D.E.</creator><creator>van den Bos, W.</creator><creator>Morawska, L.</creator><creator>Buonanno, G.</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20211110</creationdate><title>Close proximity risk assessment for SARS-CoV-2 infection</title><author>Cortellessa, G. ; Stabile, L. ; Arpino, F. ; Faleiros, D.E. ; van den Bos, W. ; Morawska, L. ; Buonanno, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-b2eac1e20cf1ee12bb8f7cdeea4a823d8a3b9714d406ebc022039df0252523773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aerosols</topic><topic>CFD analysis</topic><topic>Close proximity</topic><topic>COVID-19 - transmission</topic><topic>Droplets</topic><topic>Exhalation</topic><topic>Humans</topic><topic>PIV</topic><topic>Risk Assessment</topic><topic>SARS-CoV-2</topic><topic>Virus transmission</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cortellessa, G.</creatorcontrib><creatorcontrib>Stabile, L.</creatorcontrib><creatorcontrib>Arpino, F.</creatorcontrib><creatorcontrib>Faleiros, D.E.</creatorcontrib><creatorcontrib>van den Bos, W.</creatorcontrib><creatorcontrib>Morawska, L.</creatorcontrib><creatorcontrib>Buonanno, G.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cortellessa, G.</au><au>Stabile, L.</au><au>Arpino, F.</au><au>Faleiros, D.E.</au><au>van den Bos, W.</au><au>Morawska, L.</au><au>Buonanno, G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Close proximity risk assessment for SARS-CoV-2 infection</atitle><jtitle>The Science of the total environment</jtitle><addtitle>Sci Total Environ</addtitle><date>2021-11-10</date><risdate>2021</risdate><volume>794</volume><spage>148749</spage><epage>148749</epage><pages>148749-148749</pages><artnum>148749</artnum><issn>0048-9697</issn><issn>1879-1026</issn><eissn>1879-1026</eissn><abstract>Although the interpersonal distance represents an important parameter affecting the risk of infection due to respiratory viruses, the mechanism of exposure to exhaled droplets remains insufficiently characterized. In this study, an integrated risk assessment is presented for SARS-CoV-2 close proximity exposure between a speaking infectious subject and a susceptible subject. It is based on a three-dimensional transient numerical model for the description of exhaled droplet spread once emitted by a speaking person, coupled with a recently proposed SARS-CoV-2 emission approach. Particle image velocimetry measurements were conducted to validate the numerical model.
The contribution of the large droplets to the risk is barely noticeable only for distances well below 0.6 m, whereas it drops to zero for greater distances where it depends only on airborne droplets. In particular, for short exposures (10 s) a minimum safety distance of 0.75 m should be maintained to lower the risk below 0.1%; for exposures of 1 and 15 min this distance increases to about 1.1 and 1.5 m, respectively. Based on the interpersonal distances across countries reported as a function of interacting individuals, cultural differences, and environmental and sociopsychological factors, the approach presented here revealed that, in addition to intimate and personal distances, particular attention must be paid to exposures longer than 1 min within social distances (of about 1 m).
[Display omitted]
•Numerical simulation of the airborne transmission of SARS-CoV-2 virus•Estimate of the SARS-CoV-2 risk of infection due to the close proximity•Infection risk in close-contact is dominated by airborne droplets.•Large droplet contribution to infection risk barely noticeable only for distances well below 0.6 m•A minimum safety distance of 1.5 m can guarantee an acceptable risk (<0.1%).</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>34225157</pmid><doi>10.1016/j.scitotenv.2021.148749</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aerosols CFD analysis Close proximity COVID-19 - transmission Droplets Exhalation Humans PIV Risk Assessment SARS-CoV-2 Virus transmission |
title | Close proximity risk assessment for SARS-CoV-2 infection |
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