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Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England
File | Description | Size | Format | |
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2020.12.30.20249034v2.full.pdf | Accepted version | 2.5 MB | Adobe PDF | View/Open |
Title: | Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England |
Authors: | Volz, E Mishra, S Chand, M Barrett, JC Johnson, R Geidelberg, L Hinsley, WR Laydon, DJ Dabrera, G O'Toole, Á Amato, R Ragonnet-Cronin, M Harrison, I Jackson, B Ariani, CV Boyd, O Loman, NJ McCrone, JT Gonçalves, S Jorgensen, D Myers, R Hill, V Jackson, DK Gaythorpe, K Groves, N Sillitoe, J Kwiatkowski, DP COVID-19 Genomics UK (COG-UK) consortium Flaxman, S Ratmann, O Bhatt, S Hopkins, S Gandy, A Rambaut, A Ferguson, NM |
Item Type: | Journal Article |
Abstract: | The SARS-CoV-2 lineage B.1.1.7, designated a Variant of Concern 202012/01 (VOC) by Public Health England1, originated in the UK in late Summer to early Autumn 20202. Whole genome SARS-CoV-2 sequence data collected from community-based diagnostic testing shows an unprecedentedly rapid expansion of the B.1.1.7 lineage during Autumn 2020, suggesting a selective advantage. We find that changes in VOC frequency inferred from genetic data correspond closely to changes inferred by S-gene target failures (SGTF) in community-based diagnostic PCR testing. Analysis of trends in SGTF and non-SGTF case numbers in local areas across England shows that the VOC has higher transmissibility than non-VOC lineages, even if the VOC has a different latent period or generation time. The SGTF data indicate a transient shift in the age composition of reported cases, with a larger share of under 20 year olds among reported VOC than non-VOC cases. Time-varying reproduction numbers for the VOC and cocirculating lineages were estimated using SGTF and genomic data. The best supported models did not indicate a substantial difference in VOC transmissibility among different age groups. There is a consensus among all analyses that the VOC has a substantial transmission advantage with a 50% to 100% higher reproduction number. |
Issue Date: | 13-May-2021 |
Date of Acceptance: | 18-Mar-2021 |
URI: | http://hdl.handle.net/10044/1/87474 |
DOI: | 10.1038/s41586-021-03470-x |
ISSN: | 0028-0836 |
Publisher: | Nature Research |
Start Page: | 266 |
End Page: | 269 |
Journal / Book Title: | Nature |
Volume: | 593 |
Replaces: | 10044/1/85239 http://hdl.handle.net/10044/1/85239 |
Copyright Statement: | Copyright © 2021, The Author(s), under exclusive licence to Springer Nature Limited. |
Sponsor/Funder: | Medical Research Council Bill & Melinda Gates Foundation Medical Research Council (MRC) |
Funder's Grant Number: | MR/R015600/1 1705CR001/LD1 MR/R015600/1 |
Keywords: | Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics Adolescent Adult Age Distribution Aged Aged, 80 and over Basic Reproduction Number COVID-19 Child Child, Preschool England Evolution, Molecular Genome, Viral Humans Infant Infant, Newborn Middle Aged Phylogeny SARS-CoV-2 Spike Glycoprotein, Coronavirus Time Factors Young Adult COVID-19 Genomics UK (COG-UK) consortium Humans Age Distribution Evolution, Molecular Phylogeny Genome, Viral Time Factors Adolescent Adult Aged Aged, 80 and over Middle Aged Child Child, Preschool Infant Infant, Newborn England Basic Reproduction Number Young Adult Spike Glycoprotein, Coronavirus COVID-19 SARS-CoV-2 The COVID-19 Genomics UK (COG-UK) consortium General Science & Technology |
Publication Status: | Published |
Conference Place: | England |
Open Access location: | https://www.medrxiv.org/content/10.1101/2020.12.30.20249034v2 |
Online Publication Date: | 2021-03-25 |
Appears in Collections: | Department of Infectious Diseases Statistics Faculty of Medicine Imperial College London COVID-19 School of Public Health Faculty of Natural Sciences Mathematics |