SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student return. Issue 8 (4th August 2021)

• Record Type: Journal Article
• Authors: 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.
• Is Part Of: Royal Society open science. Volume 8:Issue 8(2021)
• Publication Date: 2021-08-04
• Subjects: epidemic modelling -- pandemic modelling -- COVID-19 -- SARS-CoV-2 -- higher education; Science -- Periodicals; 500
• DOI: 10.1098/rsos.210310
• Languages: English
• ISSNs: 2054-5703

Abstract

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.