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Impact of university re-opening on total community COVID-19 burden
University students have higher average number of contacts than the general population. Students returning to university campuses may exacerbate COVID-19 dynamics in the surrounding community. We developed a dynamic transmission model of COVID-19 in a mid-sized city currently experiencing a low infe...
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Published in: | PloS one 2021-08, Vol.16 (8), p.e0255782-e0255782 |
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description | University students have higher average number of contacts than the general population. Students returning to university campuses may exacerbate COVID-19 dynamics in the surrounding community.
We developed a dynamic transmission model of COVID-19 in a mid-sized city currently experiencing a low infection rate. We evaluated the impact of 20,000 university students arriving on September 1 in terms of cumulative COVID-19 infections, time to peak infections, and the timing and peak level of critical care occupancy. We also considered how these impacts might be mitigated through screening interventions targeted to students.
If arriving students reduce their contacts by 40% compared to pre-COVID levels, the total number of infections in the community increases by 115% (from 3,515 to 7,551), with 70% of the incremental infections occurring in the general population, and an incremental 19 COVID-19 deaths. Screening students every 5 days reduces the number of infections attributable to the student population by 42% and the total COVID-19 deaths by 8. One-time mass screening of students prevents fewer infections than 5-day screening, but is more efficient, requiring 196 tests needed to avert one infection instead of 237.
University students are highly inter-connected with the surrounding off-campus community. Screening targeted at this population provides significant public health benefits to the community through averted infections, critical care admissions, and COVID-19 deaths. |
doi_str_mv | 10.1371/journal.pone.0255782 |
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We developed a dynamic transmission model of COVID-19 in a mid-sized city currently experiencing a low infection rate. We evaluated the impact of 20,000 university students arriving on September 1 in terms of cumulative COVID-19 infections, time to peak infections, and the timing and peak level of critical care occupancy. We also considered how these impacts might be mitigated through screening interventions targeted to students.
If arriving students reduce their contacts by 40% compared to pre-COVID levels, the total number of infections in the community increases by 115% (from 3,515 to 7,551), with 70% of the incremental infections occurring in the general population, and an incremental 19 COVID-19 deaths. Screening students every 5 days reduces the number of infections attributable to the student population by 42% and the total COVID-19 deaths by 8. One-time mass screening of students prevents fewer infections than 5-day screening, but is more efficient, requiring 196 tests needed to avert one infection instead of 237.
University students are highly inter-connected with the surrounding off-campus community. Screening targeted at this population provides significant public health benefits to the community through averted infections, critical care admissions, and COVID-19 deaths.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0255782</identifier><identifier>PMID: 34383796</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Canada ; Causes of ; College campuses ; College students ; Colleges & universities ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - transmission ; Disease prevention ; Disease transmission ; Fatalities ; Health aspects ; Health risks ; Hospitalization ; Humans ; Infections ; Mass Screening ; Medicine and Health Sciences ; Models, Theoretical ; Mortality ; Occupancy ; Public health ; Screening ; Social Sciences ; Students ; Universities ; Universities and colleges</subject><ispartof>PloS one, 2021-08, Vol.16 (8), p.e0255782-e0255782</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Cipriano et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Cipriano et al 2021 Cipriano et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-8bbcc4f699a00693581ca00c2f99e955024ec2d0df50821fd22de1e4cd6aa3ca3</citedby><cites>FETCH-LOGICAL-c692t-8bbcc4f699a00693581ca00c2f99e955024ec2d0df50821fd22de1e4cd6aa3ca3</cites><orcidid>0000-0001-5568-4516</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2560815776/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2560815776?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793,74412,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34383796$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Shaman, Jeffrey</contributor><creatorcontrib>Cipriano, Lauren E</creatorcontrib><creatorcontrib>Haddara, Wael M R</creatorcontrib><creatorcontrib>Zaric, Gregory S</creatorcontrib><creatorcontrib>Enns, Eva A</creatorcontrib><title>Impact of university re-opening on total community COVID-19 burden</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>University students have higher average number of contacts than the general population. Students returning to university campuses may exacerbate COVID-19 dynamics in the surrounding community.
We developed a dynamic transmission model of COVID-19 in a mid-sized city currently experiencing a low infection rate. We evaluated the impact of 20,000 university students arriving on September 1 in terms of cumulative COVID-19 infections, time to peak infections, and the timing and peak level of critical care occupancy. We also considered how these impacts might be mitigated through screening interventions targeted to students.
If arriving students reduce their contacts by 40% compared to pre-COVID levels, the total number of infections in the community increases by 115% (from 3,515 to 7,551), with 70% of the incremental infections occurring in the general population, and an incremental 19 COVID-19 deaths. Screening students every 5 days reduces the number of infections attributable to the student population by 42% and the total COVID-19 deaths by 8. One-time mass screening of students prevents fewer infections than 5-day screening, but is more efficient, requiring 196 tests needed to avert one infection instead of 237.
University students are highly inter-connected with the surrounding off-campus community. Screening targeted at this population provides significant public health benefits to the community through averted infections, critical care admissions, and COVID-19 deaths.</description><subject>Canada</subject><subject>Causes of</subject><subject>College campuses</subject><subject>College students</subject><subject>Colleges & universities</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - transmission</subject><subject>Disease prevention</subject><subject>Disease transmission</subject><subject>Fatalities</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Infections</subject><subject>Mass Screening</subject><subject>Medicine and Health Sciences</subject><subject>Models, Theoretical</subject><subject>Mortality</subject><subject>Occupancy</subject><subject>Public health</subject><subject>Screening</subject><subject>Social Sciences</subject><subject>Students</subject><subject>Universities</subject><subject>Universities and colleges</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkltr2zAUx83YWLtu32BshsHYHpzpYsnWy6DLboFCYJe-CkWXRMGWUkku67ef0rglHn0YepCQfud_dM75F8VLCGYQN_DD1g_BiW62807PACKkadGj4hQyjCqKAH58dD4pnsW4BYDgltKnxQmucYsbRk-LT4t-J2QqvSkHZ691iDbdlEFXfqeddevSuzL5JLpS-r7PSH6dLy8XnyvIytUQlHbPiydGdFG_GPez4vfXL7_m36uL5bfF_PyikpShVLWrlZS1oYwJACjDpIUynyQyjGlGCEC1lkgBZQhoETQKIaWhrqWiQmAp8Fnx-qC763zkY_mRI0JBC0nT0EwsDoTyYst3wfYi3HAvLL-98GHNRUhWdpozg5lZMaGhUvWqMW1NhGoYhqapa4JV1vo4ZhtWvVZSuxRENxGdvji74Wt_zVtMAWYkC7wbBYK_GnRMvLdR6q4TTvvh9t-wbjEDOKNv_kEfrm6k1iIXYJ3xOa_ci_Jz2sA2D5XsqdkDVF5K91Zmrxib7ycB7ycBmUn6T1qLIUa--Pnj_9nl5ZR9e8RutOjSJvpuSNa7OAXrAyiDjzFoc99kCPje6nfd4Hur89HqOezV8YDug-68jf8CH8T33Q</recordid><startdate>20210812</startdate><enddate>20210812</enddate><creator>Cipriano, Lauren E</creator><creator>Haddara, Wael M R</creator><creator>Zaric, Gregory S</creator><creator>Enns, Eva A</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5568-4516</orcidid></search><sort><creationdate>20210812</creationdate><title>Impact of university re-opening on total community COVID-19 burden</title><author>Cipriano, Lauren E ; Haddara, Wael M R ; Zaric, Gregory S ; Enns, Eva A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-8bbcc4f699a00693581ca00c2f99e955024ec2d0df50821fd22de1e4cd6aa3ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Canada</topic><topic>Causes of</topic><topic>College campuses</topic><topic>College students</topic><topic>Colleges & universities</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals(OpenAccess)</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cipriano, Lauren E</au><au>Haddara, Wael M R</au><au>Zaric, Gregory S</au><au>Enns, Eva A</au><au>Shaman, Jeffrey</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of university re-opening on total community COVID-19 burden</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-08-12</date><risdate>2021</risdate><volume>16</volume><issue>8</issue><spage>e0255782</spage><epage>e0255782</epage><pages>e0255782-e0255782</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>University students have higher average number of contacts than the general population. Students returning to university campuses may exacerbate COVID-19 dynamics in the surrounding community.
We developed a dynamic transmission model of COVID-19 in a mid-sized city currently experiencing a low infection rate. We evaluated the impact of 20,000 university students arriving on September 1 in terms of cumulative COVID-19 infections, time to peak infections, and the timing and peak level of critical care occupancy. We also considered how these impacts might be mitigated through screening interventions targeted to students.
If arriving students reduce their contacts by 40% compared to pre-COVID levels, the total number of infections in the community increases by 115% (from 3,515 to 7,551), with 70% of the incremental infections occurring in the general population, and an incremental 19 COVID-19 deaths. Screening students every 5 days reduces the number of infections attributable to the student population by 42% and the total COVID-19 deaths by 8. One-time mass screening of students prevents fewer infections than 5-day screening, but is more efficient, requiring 196 tests needed to avert one infection instead of 237.
University students are highly inter-connected with the surrounding off-campus community. Screening targeted at this population provides significant public health benefits to the community through averted infections, critical care admissions, and COVID-19 deaths.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34383796</pmid><doi>10.1371/journal.pone.0255782</doi><tpages>e0255782</tpages><orcidid>https://orcid.org/0000-0001-5568-4516</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Canada Causes of College campuses College students Colleges & universities Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - transmission Disease prevention Disease transmission Fatalities Health aspects Health risks Hospitalization Humans Infections Mass Screening Medicine and Health Sciences Models, Theoretical Mortality Occupancy Public health Screening Social Sciences Students Universities Universities and colleges |
title | Impact of university re-opening on total community COVID-19 burden |
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