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SARS-CoV-2 lineage dynamics in England from January to March 2021 inferred from representative community samples
Oliver Eales; Andrew Page; Sonja N. Tang; Caroline E. Walters; Haowei Wang; David Haw; Alexander J. Trotter; Thanh Le Viet; Ebenezer Foster-Nyarko; Sophie Prosolek; Christina Atchinson; Deborah Ashby; Graham Cooke; Wendy Barclay; Christl A Donnelly; Justin O'Grady; Erik Volz; - The COVID-19 Genomics UK (COG-UK) Consortium; Ara Darzi; Helen Ward; Paul Elliott; Steven Riley.
Afiliação
  • Oliver Eales; School of Public Health, Imperial College London, UK MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergenc
  • Andrew Page; Quadram Institute, Norwich, UK
  • Sonja N. Tang; School of Public Health, Imperial College London, UK
  • Caroline E. Walters; School of Public Health, Imperial College London, UK MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergenc
  • Haowei Wang; School of Public Health, Imperial College London, UK MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergenc
  • David Haw; School of Public Health, Imperial College London, UK MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergenc
  • Alexander J. Trotter; Quadram Institute, Norwich, UK
  • Thanh Le Viet; Quadram Institute, Norwich, UK
  • Ebenezer Foster-Nyarko; Quadram Institute, Norwich, UK
  • Sophie Prosolek; Quadram Institute, Norwich, UK
  • Christina Atchinson; School of Public Health, Imperial College London, UK
  • Deborah Ashby; School of Public Health, Imperial College London, UK
  • Graham Cooke; Department of Infectious Disease, Imperial College London, UK Imperial College Healthcare NHS Trust, UK National Institute for Health Research Imperial Biomedic
  • Wendy Barclay; Department of Infectious Disease, Imperial College London, UK
  • Christl A Donnelly; School of Public Health, Imperial College London, UK MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergenc
  • Justin O'Grady; Quadram Institute, Norwich, UK
  • Erik Volz; School of Public Health, Imperial College London, UK MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergenc
  • - The COVID-19 Genomics UK (COG-UK) Consortium;
  • Ara Darzi; Imperial College Healthcare NHS Trust, UK National Institute for Health Research Imperial Biomedical Research Centre, UK Institute of Global Health Innovation a
  • Helen Ward; School of Public Health, Imperial College London, UK Imperial College Healthcare NHS Trust, UK National Institute for Health Research Imperial Biomedical Resear
  • Paul Elliott; School of Public Health, Imperial College London, UK Imperial College Healthcare NHS Trust, UK National Institute for Health Research Imperial Biomedical Resear
  • Steven Riley; School of Public Health, Imperial College London, UK MRC Centre for Global infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergenc
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21256867
ABSTRACT
Genomic surveillance for SARS-CoV-2 lineages informs our understanding of possible future changes in transmissibility and vaccine efficacy. However, small changes in the frequency of one lineage over another are often difficult to interpret because surveillance samples are obtained from a variety of sources. Here, we describe lineage dynamics and phylogenetic relationships using sequences obtained from a random community sample who provided a throat and nose swab for rt-PCR during the first three months of 2021 as part of the REal-time Assessment of Community Transmission-1 (REACT-1) study. Overall, diversity decreased during the first quarter of 2021, with the B.1.1.7 lineage (first identified in Kent) predominant, driven by a 0.3 unit higher reproduction number over the prior wild type. During January, positive samples were more likely B.1.1.7 in younger and middle-aged adults (aged 18 to 54) than in other age groups. Although individuals infected with the B.1.1.7 lineage were no more likely to report one or more classic COVID-19 symptoms compared to those infected with wild type, they were more likely to be antibody positive 6 weeks after infection. Viral load was higher in B.1.1.7 infection as measured by cycle threshold (Ct) values, but did not account for the increased rate of testing positive for antibodies. The presence of infections with non-imported B.1.351 lineage (first identified in South Africa) during January, but not during February or March, suggests initial establishment in the community followed by fade-out. However, this occurred during a period of stringent social distancing and targeted public health interventions and does not immediately imply similar lineages could not become established in the future. Sequence data from representative community surveys such as REACT-1 can augment routine genomic surveillance.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Experimental_studies / Observational_studies / Rct Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Experimental_studies / Observational_studies / Rct Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint