Your browser doesn't support javascript.
loading
Genomic assessment of invasion dynamics of SARS-CoV-2 Omicron BA.1.
Tsui, Joseph L-H; McCrone, John T; Lambert, Ben; Bajaj, Sumali; Inward, Rhys P D; Bosetti, Paolo; Pena, Rosario Evans; Tegally, Houriiyah; Hill, Verity; Zarebski, Alexander E; Peacock, Thomas P; Liu, Luyang; Wu, Neo; Davis, Megan; Bogoch, Isaac I; Khan, Kamran; Kall, Meaghan; Abdul Aziz, Nurin Iwani Binti; Colquhoun, Rachel; O'Toole, Áine; Jackson, Ben; Dasgupta, Abhishek; Wilkinson, Eduan; de Oliveira, Tulio; Connor, Thomas R; Loman, Nicholas J; Colizza, Vittoria; Fraser, Christophe; Volz, Erik; Ji, Xiang; Gutierrez, Bernardo; Chand, Meera; Dellicour, Simon; Cauchemez, Simon; Raghwani, Jayna; Suchard, Marc A; Lemey, Philippe; Rambaut, Andrew; Pybus, Oliver G; Kraemer, Moritz U G.
Afiliación
  • Tsui JL; Department of Biology, University of Oxford, Oxford, UK.
  • McCrone JT; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.
  • Lambert B; Helix, San Mateo, CA 94401, USA.
  • Bajaj S; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.
  • Inward RPD; Department of Biology, University of Oxford, Oxford, UK.
  • Bosetti P; Department of Biology, University of Oxford, Oxford, UK.
  • Pena RE; Institut Pasteur, Université Paris Cité, CNRS, Paris, France.
  • Tegally H; Department of Biology, University of Oxford, Oxford, UK.
  • Hill V; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
  • Zarebski AE; Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Peacock TP; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.
  • Liu L; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06511, USA.
  • Wu N; Department of Biology, University of Oxford, Oxford, UK.
  • Davis M; Department of Infectious Disease, Imperial College London, London, UK.
  • Bogoch II; UK Health Security Agency, London, UK.
  • Khan K; Google Research, Mountain View, CA 94043, USA.
  • Kall M; Google Research, Mountain View, CA 94043, USA.
  • Abdul Aziz NIB; BlueDot, Toronto, Canada.
  • Colquhoun R; Department of Medicine, Division of Infectious Diseases, University of Toronto, Toronto, Canada.
  • O'Toole Á; BlueDot, Toronto, Canada.
  • Jackson B; Department of Medicine, Division of Infectious Diseases, University of Toronto, Toronto, Canada.
  • Dasgupta A; UK Health Security Agency, London, UK.
  • Wilkinson E; UK Health Security Agency, London, UK.
  • de Oliveira T; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.
  • Connor TR; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.
  • Loman NJ; Department of Biology, University of Oxford, Oxford, UK.
  • Colizza V; Doctoral Training Centre, University of Oxford, Oxford, UK.
  • Fraser C; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
  • Volz E; Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Ji X; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
  • Gutierrez B; Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Dellicour S; Pathogen Genomics Unit, Public Health Wales NHS Trust, Cardiff, UK.
  • Cauchemez S; School of Biosciences, The Sir Martin Evans Building, Cardiff University, Cardiff, UK.
  • Raghwani J; Quadram Institute, Norwich, UK.
  • Suchard MA; Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK.
  • Lemey P; Sorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP), Paris, France.
  • Rambaut A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, UK.
  • Pybus OG; Pandemic Sciences Institute, University of Oxford, Oxford, UK.
  • Kraemer MUG; MRC Centre of Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
Science ; 381(6655): 336-343, 2023 07 21.
Article en En | MEDLINE | ID: mdl-37471538
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) now arise in the context of heterogeneous human connectivity and population immunity. Through a large-scale phylodynamic analysis of 115,622 Omicron BA.1 genomes, we identified >6,000 introductions of the antigenically distinct VOC into England and analyzed their local transmission and dispersal history. We find that six of the eight largest English Omicron lineages were already transmitting when Omicron was first reported in southern Africa (22 November 2021). Multiple datasets show that importation of Omicron continued despite subsequent restrictions on travel from southern Africa as a result of export from well-connected secondary locations. Initiation and dispersal of Omicron transmission lineages in England was a two-stage process that can be explained by models of the country's human geography and hierarchical travel network. Our results enable a comparison of the processes that drive the invasion of Omicron and other VOCs across multiple spatial scales.
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Science Año: 2023 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Science Año: 2023 Tipo del documento: Article