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

Moritz U. G. Kraemer(University of Oxford), Verity Hill(University of Edinburgh), Christopher Ruis(University of Cambridge), Simon Dellicour(Université Libre de Bruxelles), Sumali Bajaj(University of Oxford), John T. McCrone(University of Edinburgh), Guy Baele(Rega Institute for Medical Research), Kris V. Parag(Imperial College London), Anya Lindström Battle(University of Oxford), Bernardo Gutiérrez(University of Oxford), Ben Jackson(University of Edinburgh), Rachel Colquhoun(University of Edinburgh), Áine O’Toole(University of Edinburgh), Brennan Klein(Northeastern University), Alessandro Vespignani(Northeastern University), Erik Volz(Imperial College London), Nuno R. Faria(Universidade de São Paulo), David M. Aanensen(University of Oxford), Nicholas J. Loman(University of Birmingham), Louis du Plessis(University of Oxford), Simon Cauchemez(Centre National de la Recherche Scientifique), Andrew Rambaut(University of Edinburgh), Samuel V. Scarpino(University of Vermont), Oliver G. Pybus(Royal Veterinary College)
Science
July 22, 2021
Cited by 239Open Access
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Abstract

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.


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