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dc.contributor.authorNickbakhsh, Sema
dc.contributor.authorHughes, Joseph
dc.contributor.authorChristofidis, Nicolaos
dc.contributor.authorGriffiths, Emily
dc.contributor.authorShaaban, Sharif
dc.contributor.authorEnright, Jessica
dc.contributor.authorSmollett, Katherine
dc.contributor.authorNomikou, Kyriaki
dc.contributor.authorPalmalux, Natasha
dc.contributor.authorTong, Lily
dc.contributor.authorCarmichael, Stephen
dc.contributor.authorSreenu, Vattipally B.
dc.contributor.authorOrton, Richard
dc.contributor.authorGoldstein, Emily J.
dc.contributor.authorTomb, Rachael M.
dc.contributor.authorThe COVID-19 Genomics UK (COG-UK) Consortium
dc.contributor.authorTempleton, Kate
dc.contributor.authorGunson, Rory N.
dc.contributor.authorda Silva Filipe, Ana
dc.contributor.authorMilosevic, Catriona
dc.contributor.authorThomson, Emma
dc.contributor.authorRobertson, David L.
dc.contributor.authorHolden, Matthew
dc.contributor.authorIllingworth, Christopher J. R.
dc.contributor.authorSmith-Palmer, Alison
dc.date.accessioned2022-07-28T10:30:27Z
dc.date.available2022-07-28T10:30:27Z
dc.date.issued2022-07-19
dc.identifier.citationNickbakhsh , S , Hughes , J , Christofidis , N , Griffiths , E , Shaaban , S , Enright , J , Smollett , K , Nomikou , K , Palmalux , N , Tong , L , Carmichael , S , Sreenu , V B , Orton , R , Goldstein , E J , Tomb , R M , The COVID-19 Genomics UK (COG-UK) Consortium , Templeton , K , Gunson , R N , da Silva Filipe , A , Milosevic , C , Thomson , E , Robertson , D L , Holden , M , Illingworth , C J R & Smith-Palmer , A 2022 , ' Genomic epidemiology of SARS-CoV-2 in a university outbreak setting and implications for public health planning ' , Scientific Reports , vol. 12 , 11735 . https://doi.org/10.1038/s41598-022-15661-1en
dc.identifier.issn2045-2322
dc.identifier.otherPURE: 280643937
dc.identifier.otherPURE UUID: d86f1638-319a-481a-80a7-d8bf5f43e83c
dc.identifier.otherScopus: 85134374428
dc.identifier.otherORCID: /0000-0002-0370-3700/work/116598120
dc.identifier.otherORCID: /0000-0002-4958-2166/work/116598348
dc.identifier.urihttp://hdl.handle.net/10023/25737
dc.descriptionFunding: The CVR authors are supported by the Medical Research Council [MC_UU_12014/12 and MC_UU_12018/12]. COG-UK is supported by funding from the Medical Research Council (MRC) part of UK Research & Innovation (UKRI), the National Institute of Health Research (NIHR) [Grant code: MC_PC_19027], and Genome Research Limited, operating as the Wellcome Sanger Institute.en
dc.description.abstractWhole genome sequencing of SARS-CoV-2 has occurred at an unprecedented scale, and can be exploited for characterising outbreak risks at the fine-scale needed to inform control strategies. One setting at continued risk of COVID-19 outbreaks are higher education institutions, associated with student movements at the start of term, close living conditions within residential halls, and high social contact rates. Here we analysed SARS-CoV-2 whole genome sequences in combination with epidemiological data to investigate a large cluster of student cases associated with University of Glasgow accommodation in autumn 2020, Scotland. We identified 519 student cases of SARS-CoV-2 infection associated with this large cluster through contact tracing data, with 30% sequencing coverage for further analysis. We estimated at least 11 independent introductions of SARS-CoV-2 into the student population, with four comprising the majority of detected cases and consistent with separate outbreaks. These four outbreaks were curtailed within a week following implementation of control measures. The impact of student infections on the local community was short-term despite an underlying increase in community infections. Our study highlights the need for context-specific information in the formation of public health policy for higher educational settings.
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.rightsCopyright © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectQH426 Geneticsen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subject3rd-DASen
dc.subject.lccQH426en
dc.subject.lccRA0421en
dc.titleGenomic epidemiology of SARS-CoV-2 in a university outbreak setting and implications for public health planningen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. St Andrews Bioinformatics Uniten
dc.contributor.institutionUniversity of St Andrews. Infection and Global Health Divisionen
dc.contributor.institutionUniversity of St Andrews. Biomedical Sciences Research Complexen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.identifier.doihttps://doi.org/10.1038/s41598-022-15661-1
dc.description.statusPeer revieweden


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