Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
20 08 2021
Historique:
received: 16 04 2021
accepted: 12 07 2021
pubmed: 25 7 2021
medline: 28 8 2021
entrez: 24 7 2021
Statut: ppublish

Résumé

Understanding the causes and consequences of the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern is crucial to pandemic control yet difficult to achieve because they arise in the context of variable human behavior and immunity. We investigated the spatial invasion dynamics of lineage B.1.1.7 by jointly analyzing UK human mobility, virus genomes, and community-based polymerase chain reaction data. We identified a multistage spatial invasion process in which early B.1.1.7 growth rates were associated with mobility and asymmetric lineage export from a dominant source location, enhancing the effects of B.1.1.7's increased intrinsic transmissibility. We further explored how B.1.1.7 spread was shaped by nonpharmaceutical interventions and spatial variation in previous attack rates. Our findings show that careful accounting of the behavioral and epidemiological context within which variants of concern emerge is necessary to interpret correctly their observed relative growth rates.

Identifiants

pubmed: 34301854
pii: science.abj0113
doi: 10.1126/science.abj0113
pmc: PMC9269003
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

889-895

Subventions

Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19027
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S019510/1
Pays : United Kingdom

Informations de copyright

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Auteurs

Moritz U G Kraemer (MUG)

Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil. a.rambaut@ed.ac.uk moritz.kraemer@zoo.ox.ac.uk s.scarpino@northeastern.edu oliver.pybus@zoo.ox.ac.uk.
Department of Zoology, University of Oxford, Oxford, UK.

Verity Hill (V)

Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.

Christopher Ruis (C)

Department of Zoology, University of Oxford, Oxford, UK.
Molecular Immunity Unit, Department of Medicine, Cambridge University, Cambridge, UK.

Simon Dellicour (S)

Network Science Institute, Northeastern University, Boston, USA.
Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.
Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.

Sumali Bajaj (S)

Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.
Department of Zoology, University of Oxford, Oxford, UK.

John T McCrone (JT)

Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.

Guy Baele (G)

Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, UK.
Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.

Kris V Parag (KV)

Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Anya Lindström Battle (AL)

Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.
MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
Department of Plant Sciences, University of Oxford, Oxford, UK.

Bernardo Gutierrez (B)

Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.
Department of Plant Sciences, University of Oxford, Oxford, UK.
Department of Zoology, University of Oxford, Oxford, UK.

Ben Jackson (B)

Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.

Rachel Colquhoun (R)

Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.

Áine O'Toole (Á)

Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.

Brennan Klein (B)

Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Network Science Institute, Northeastern University, Boston, USA.

Alessandro Vespignani (A)

Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Network Science Institute, Northeastern University, Boston, USA.

Erik Volz (E)

Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

Nuno R Faria (NR)

Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
Department of Zoology, University of Oxford, Oxford, UK.
MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.

David M Aanensen (DM)

Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.
Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, UK.
Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Nicholas J Loman (NJ)

Molecular Immunity Unit, Department of Medicine, Cambridge University, Cambridge, UK.
Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK.

Louis du Plessis (L)

Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.
Department of Zoology, University of Oxford, Oxford, UK.

Simon Cauchemez (S)

Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK.
Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.

Andrew Rambaut (A)

Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France. a.rambaut@ed.ac.uk moritz.kraemer@zoo.ox.ac.uk s.scarpino@northeastern.edu oliver.pybus@zoo.ox.ac.uk.
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.

Samuel V Scarpino (SV)

Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium. a.rambaut@ed.ac.uk moritz.kraemer@zoo.ox.ac.uk s.scarpino@northeastern.edu oliver.pybus@zoo.ox.ac.uk.
Network Science Institute, Northeastern University, Boston, USA.
Vermont Complex Systems Center, University of Vermont, Burlington, USA.
Santa Fe Institute, Santa Fe, USA.

Oliver G Pybus (OG)

Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil. a.rambaut@ed.ac.uk moritz.kraemer@zoo.ox.ac.uk s.scarpino@northeastern.edu oliver.pybus@zoo.ox.ac.uk.
Department of Zoology, University of Oxford, Oxford, UK.
Department of Pathobiology and Population Sciences, Royal Veterinary College London, London, UK.

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