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Post-peak dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022
Paul Elliott; Oliver Eales; Barbara Bodinier; David Tang; Haowei Wang; Jakob Jonnerby; David Haw; Joshua Elliott; Matthew Whitaker; Caroline E. Walters; Christina Atchinson; Peter J. Diggle; Andrew J. Page; Alexander Trotter; Deborah Ashby; Wendy Barclay; Graham Taylor; Helen Ward; Ara Darzi; Graham Cooke; Marc Chadeau-Hyam; Christl A Donnelly.
Affiliation
  • Paul Elliott; School of Public Health, Imperial College London, UK Imperial College Healthcare NHS Trust, UK National Institute for Health Research Imperial Biomedical Resear
  • 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
  • Barbara Bodinier; School of Public Health, Imperial College London, UK
  • David Tang; School of Public Health, Imperial College London, UK
  • 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
  • Jakob Jonnerby; 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
  • Joshua Elliott; Imperial College Healthcare NHS Trust, UK Department of Infectious Disease, Imperial College London, UK
  • Matthew Whitaker; 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
  • Christina Atchinson; School of Public Health, Imperial College London, UK
  • Peter J. Diggle; CHICAS, Lancaster Medical School, Lancaster University, UK and Health Data Research, UK
  • Andrew J. Page; Quadram Institute, Norwich, UK
  • Alexander Trotter; Quadram Institute, Norwich, UK
  • Deborah Ashby; School of Public Health, Imperial College London, UK
  • Wendy Barclay; Department of Infectious Disease, Imperial College London, UK
  • Graham Taylor; Department of Infectious Disease, Imperial College London, UK
  • Helen Ward; School of Public Health, Imperial College London, UK Imperial College Healthcare NHS Trust, UK National Institute for Health Research Imperial Biomedical Resear
  • Ara Darzi; Imperial College Healthcare NHS Trust, UK National Institute for Health Research Imperial Biomedical Research Centre, UK Institute of Global Health Innovation a
  • Graham Cooke; Department of Infectious Disease, Imperial College London, UK Imperial College Healthcare NHS Trust, UK National Institute for Health Research Imperial Biomedic
  • Marc Chadeau-Hyam; School of Public Health, 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
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22270365
ABSTRACT
BackgroundRapid transmission of the SARS-CoV-2 Omicron variant has led to the highest ever recorded case incidence levels in many countries around the world. MethodsThe REal-time Assessment of Community Transmission-1 (REACT-1) study has been characterising the transmission of the SARS-CoV-2 virus using RT-PCR test results from self-administered throat and nose swabs from randomly-selected participants in England at ages 5 years and over, approximately monthly since May 2020. Round 17 data were collected between 5 and 20 January 2022 and provide data on the temporal, socio-demographic and geographical spread of the virus, viral loads and viral genome sequence data for positive swabs. ResultsFrom 102,174 valid tests in round 17, weighted prevalence of swab positivity was 4.41% (95% credible interval [CrI], 4.25% to 4.56%), which is over three-fold higher than in December 2021 in England. Of 3,028 sequenced positive swabs, 2,393 lineages were determined and 2,374 (99.2%) were Omicron including 19 (0.80% of all Omicron lineages) cases of BA.2 sub-lineage and one BA.3 (0.04% of all Omicron) detected on 17 January 2022, and only 19 (0.79%) were Delta. The growth of the BA.2 Omicron sub-lineage against BA.1 and its sub-lineage BA.1.1 indicated a daily growth rate advantage of 0.14 (95% CrI, 0.03, 0.28) for BA.2, which corresponds to an additive R advantage of 0.46 (95% CrI, 0.10, 0.92). Within round 17, prevalence was decreasing overall (R=0.95, 95% CrI, 0.93, 0.97) but increasing in children aged 5 to 17 years (R=1.13, 95% CrI, 1.09, 1.18). Those 75 years and older had a swab-positivity prevalence of 2.46% (95% CI, 2.16%, 2.80%) reflecting a high level of infection among a highly vulnerable group. Among the 3,613 swab-positive individuals reporting whether or not they had had previous infection, 2,334 (64.6%) reported previous confirmed COVID-19. Of these, 64.4% reported a positive test from 1 to 30 days before their swab date. Risks of infection were increased among essential/key workers (other than healthcare or care home workers) with mutually adjusted Odds Ratio (OR) of 1.15 (95% CI, 1.05, 1.26), people living in large compared to single-person households (6+ household size OR 1.73; 95% CI, 1.44, 2.08), those living in urban vs rural areas (OR 1.24, 95% CI, 1.13, 1.35) and those living in the most vs least deprived areas (OR 1.34, 95% CI, 1.20, 1.49). ConclusionsWe observed unprecedented levels of infection with SARS-CoV-2 in England in January 2022, an almost complete replacement of Delta by Omicron, and evidence for a growth advantage for BA.2 compared to BA.1. The increase in the prevalence of infection with Omicron among children (aged 5 to 17 years) during January 2022 could pose a risk to adults, despite the current trend for prevalence in adults to decline. (Funded by the Department of Health and Social Care in England.)
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Observational_studies / Prognostic_studies / Rct Language: En Year: 2022 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Observational_studies / Prognostic_studies / Rct Language: En Year: 2022 Document type: Preprint