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Context-specific emergence and growth of the SARS-CoV-2 Delta variant.
McCrone, John T; Hill, Verity; Bajaj, Sumali; Pena, Rosario Evans; Lambert, Ben C; Inward, Rhys; Bhatt, Samir; Volz, Erik; Ruis, Christopher; Dellicour, Simon; Baele, Guy; Zarebski, Alexander E; Sadilek, Adam; Wu, Neo; Schneider, Aaron; Ji, Xiang; Raghwani, Jayna; Jackson, Ben; Colquhoun, Rachel; O'Toole, Áine; Peacock, Thomas P; Twohig, Kate; Thelwall, Simon; Dabrera, Gavin; Myers, Richard; Faria, Nuno R; Huber, Carmen; Bogoch, Isaac I; Khan, Kamran; du Plessis, Louis; Barrett, Jeffrey C; Aanensen, David M; Barclay, Wendy S; Chand, Meera; Connor, Thomas; Loman, Nicholas J; Suchard, Marc A; Pybus, Oliver G; Rambaut, Andrew; Kraemer, Moritz U G.
Afiliação
  • McCrone JT; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
  • Hill V; contributed equally as first authors.
  • Bajaj S; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
  • Pena RE; contributed equally as first authors.
  • Lambert BC; Department of Zoology, University of Oxford, Oxford, UK.
  • Inward R; contributed equally as first authors.
  • Bhatt S; Department of Zoology, University of Oxford, Oxford, UK.
  • Volz E; contributed equally as first authors.
  • Ruis C; Department of Computer Science, University of Oxford, Oxford, UK.
  • Dellicour S; Department of Zoology, University of Oxford, Oxford, UK.
  • Baele G; MRC Centre of Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Zarebski AE; MRC Centre of Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Sadilek A; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
  • Wu N; MRC Centre of Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Schneider A; Molecular Immunity Unit, Department of Medicine, Cambridge University, Cambridge, UK.
  • Ji X; Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.
  • Raghwani J; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
  • Jackson B; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
  • Colquhoun R; Department of Zoology, University of Oxford, Oxford, UK.
  • O'Toole Á; Google, Mountain View, CA, USA.
  • Peacock TP; Google, Mountain View, CA, USA.
  • Twohig K; Google, Mountain View, CA, USA.
  • Thelwall S; Department of Mathematics, School of Science & Engineering, Tulane University, New Orleans, LA, USA.
  • Dabrera G; Department of Zoology, University of Oxford, Oxford, UK.
  • Myers R; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
  • Faria NR; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
  • Huber C; Department of Infectious Disease, Imperial College London, London, UK.
  • Bogoch II; UK Health Security Agency, London, UK.
  • Khan K; UK Health Security Agency, London, UK.
  • du Plessis L; UK Health Security Agency, London, UK.
  • Barrett JC; UK Health Security Agency, London, UK.
  • Aanensen DM; UK Health Security Agency, London, UK.
  • Chand M; Department of Zoology, University of Oxford, Oxford, UK.
  • Connor T; MRC Centre of Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Loman NJ; Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.
  • Suchard MA; BlueDot, Toronto, Canada.
  • Pybus OG; Divisions of Internal Medicine & Infectious Diseases, Toronto General Hospital, University Health Network, Toronto, Canada.
  • Rambaut A; Department of Medicine, Division of Infectious Diseases, University of Toronto, ON, Canada.
  • Kraemer MUG; BlueDot, Toronto, Canada.
medRxiv ; 2021 Dec 21.
Article em En | MEDLINE | ID: mdl-34981069
ABSTRACT
The Delta variant of concern of SARS-CoV-2 has spread globally causing large outbreaks and resurgences of COVID-19 cases 1-3 . The emergence of Delta in the UK occurred on the background of a heterogeneous landscape of immunity and relaxation of non-pharmaceutical interventions 4,5 . Here we analyse 52,992 Delta genomes from England in combination with 93,649 global genomes to reconstruct the emergence of Delta, and quantify its introduction to and regional dissemination across England, in the context of changing travel and social restrictions. Through analysis of human movement, contact tracing, and virus genomic data, we find that the focus of geographic expansion of Delta shifted from India to a more global pattern in early May 2021. In England, Delta lineages were introduced >1,000 times and spread nationally as non-pharmaceutical interventions were relaxed. We find that hotel quarantine for travellers from India reduced onward transmission from importations; however the transmission chains that later dominated the Delta wave in England had been already seeded before restrictions were introduced. In England, increasing inter-regional travel drove Delta's nationwide dissemination, with some cities receiving >2,000 observable lineage introductions from other regions. Subsequently, increased levels of local population mixing, not the number of importations, was associated with faster relative growth of Delta. Among US states, we find that regions that previously experienced large waves also had faster Delta growth rates, and a model including interactions between immunity and human behaviour could accurately predict the rise of Delta there. Delta's invasion dynamics depended on fine scale spatial heterogeneity in immunity and contact patterns and our findings will inform optimal spatial interventions to reduce transmission of current and future VOCs such as Omicron.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article