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SARS-CoV-2 infection in UK university students: lessons from September-December 2020 and modelling insights for future student return.
Enright, Jessica; Hill, Edward M; Stage, Helena B; Bolton, Kirsty J; Nixon, Emily J; Fairbanks, Emma L; Tang, Maria L; Brooks-Pollock, Ellen; Dyson, Louise; Budd, Chris J; Hoyle, Rebecca B; Schewe, Lars; Gog, Julia R; Tildesley, Michael J.
  • Enright J; School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK.
  • Hill EM; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK.
  • Stage HB; Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/.
  • Bolton KJ; Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/.
  • Nixon EJ; Department of Mathematics, The University of Manchester, Oxford Road, Manchester, UK.
  • Fairbanks EL; Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, UK.
  • Tang ML; Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/.
  • Brooks-Pollock E; Veterinary Public Health, Bristol Veterinary School, University of Bristol, Bristol, UK.
  • Dyson L; Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, UK.
  • Budd CJ; School of Veterinary Medicine and Science, University of Nottingham, Loughborough, UK.
  • Hoyle RB; School of Veterinary Medicine and Science, University of Nottingham, Loughborough, UK.
  • Schewe L; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
  • Gog JR; Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/.
  • Tildesley MJ; Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
R Soc Open Sci ; 8(8): 210310, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1356753
ABSTRACT
In this paper, we present work on SARS-CoV-2 transmission in UK higher education settings using multiple approaches to assess the extent of university outbreaks, how much those outbreaks may have led to spillover in the community, and the expected effects of control measures. Firstly, we found that the distribution of outbreaks in universities in late 2020 was consistent with the expected importation of infection from arriving students. Considering outbreaks at one university, larger halls of residence posed higher risks for transmission. The dynamics of transmission from university outbreaks to wider communities is complex, and while sometimes spillover does occur, occasionally even large outbreaks do not give any detectable signal of spillover to the local population. Secondly, we explored proposed control measures for reopening and keeping open universities. We found the proposal of staggering the return of students to university residence is of limited value in terms of reducing transmission. We show that student adherence to testing and self-isolation is likely to be much more important for reducing transmission during term time. Finally, we explored strategies for testing students in the context of a more transmissible variant and found that frequent testing would be necessary to prevent a major outbreak.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Variants Language: English Journal: R Soc Open Sci Year: 2021 Document Type: Article Affiliation country: Rsos.210310

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Variants Language: English Journal: R Soc Open Sci Year: 2021 Document Type: Article Affiliation country: Rsos.210310