Prevalence of persistent SARS-CoV-2 in a large community surveillance study
Open Data Institute · University of Oxford · +13 more institutions
Abstract
Abstract Persistent SARS-CoV-2 infections may act as viral reservoirs that could seed future outbreaks 1–5 , give rise to highly divergent lineages 6–8 and contribute to cases with post-acute COVID-19 sequelae (long COVID) 9,10 . However, the population prevalence of persistent infections, their viral load kinetics and evolutionary dynamics over the course of infections remain largely unknown. Here, using viral sequence data collected as part of a national infection survey, we identified 381 individuals with SARS-CoV-2 RNA at high titre persisting for at least 30 days, of which 54 had viral RNA persisting at least 60 days. We refer to these as ‘persistent infections’ as available evidence suggests that they…
Citation impact
- FWCI
- 53.05
- Percentile
- 100%
- References
- 74
Authors
34- MGMahan GhafariCorresponding
Open Data Institute, University of Oxford, Science Oxford
- MHMatthew Hall
Open Data Institute, University of Oxford, Science Oxford
- TGTanya Golubchik
The University of Sydney, Taronga Conservation Society Australia, Open Data Institute, University of Oxford
- DADaniel Ayoubkhani
Office for National Statistics, University of Leicester
- THThomas House
University of Manchester
Topics & keywords
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Coronavirus disease 2019 (COVID-19)
- 2019-20 coronavirus outbreak
- Virology
- Sars virus
- Betacoronavirus
- Medicine
- Environmental health
- Good health and well-being
Funding
- LKLi Ka Shing Foundation
- WTWellcome TrustAwards: 203141/Z/16/Z, /Z/15/Z, 203141, NIHR200915, 107652/Z/15/Z
- NINational Institute for Health Research Health Protection Research UnitAwards: MC_PC_19027, NIHR200915
- NINational Institute for Health and Care ResearchAwards: 203141/Z/16/Z, MC_PC_19027, NIHR200915
- DODepartment of Health and Social CareAward: COVID-19 Genomics Programme
- UOUniversity of OxfordAward: NIHR200915
- MRMedical Research CouncilAwards: MC_PC_19027, MR/N029399/1, 203141/Z/16/Z, COVID-19
- NONIHR Oxford Biomedical Research CentreAward: NIHR200915