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Global circulation patterns of seasonal influenza viruses vary with antigenic drift

Author

Listed:
  • Trevor Bedford

    (Fred Hutchinson Cancer Research Center)

  • Steven Riley

    (MRC Centre for Outbreak Analysis and Modelling, School of Public Health, Imperial College London
    Fogarty International Center, National Institutes of Health)

  • Ian G. Barr

    (World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza)

  • Shobha Broor

    (SGT Medical College, Hospital and Research Institute)

  • Mandeep Chadha

    (National Institute of Virology)

  • Nancy J. Cox

    (WHO Collaborating Center for Reference and Research on Influenza, Centers for Disease Control and Prevention)

  • Rodney S. Daniels

    (WHO Collaborating Center for Reference and Research on Influenza, Medical Research Council National Institute for Medical Research (NIMR))

  • C. Palani Gunasekaran

    (King Institute of Preventive Medicine and Research, Guindy)

  • Aeron C. Hurt

    (World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza
    Melbourne School of Population and Global Health, University of Melbourne)

  • Anne Kelso

    (World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza)

  • Alexander Klimov

    (WHO Collaborating Center for Reference and Research on Influenza, Centers for Disease Control and Prevention)

  • Nicola S. Lewis

    (University of Cambridge)

  • Xiyan Li

    (WHO Collaborating Center for Reference and Research on Influenza, National Institute for Viral Disease Control and Prevention, China CDC)

  • John W. McCauley

    (WHO Collaborating Center for Reference and Research on Influenza, Medical Research Council National Institute for Medical Research (NIMR))

  • Takato Odagiri

    (WHO Collaborating Center for Reference and Research on Influenza, National Institute of Infectious Diseases)

  • Varsha Potdar

    (National Institute of Virology)

  • Andrew Rambaut

    (Fogarty International Center, National Institutes of Health
    Institute of Evolutionary Biology, University of Edinburgh
    Centre for Immunology, Infection and Evolution, University of Edinburgh)

  • Yuelong Shu

    (WHO Collaborating Center for Reference and Research on Influenza, National Institute for Viral Disease Control and Prevention, China CDC)

  • Eugene Skepner

    (University of Cambridge)

  • Derek J. Smith

    (University of Cambridge
    Erasmus Medical Center)

  • Marc A. Suchard

    (UCLA Fielding School of Public Health, University of California
    David Geffen School of Medicine at UCLA, University of California
    David Geffen School of Medicine at UCLA, University of California)

  • Masato Tashiro

    (WHO Collaborating Center for Reference and Research on Influenza, National Institute of Infectious Diseases)

  • Dayan Wang

    (WHO Collaborating Center for Reference and Research on Influenza, National Institute for Viral Disease Control and Prevention, China CDC)

  • Xiyan Xu

    (WHO Collaborating Center for Reference and Research on Influenza, Centers for Disease Control and Prevention)

  • Philippe Lemey

    (Rega Institute, KU Leuven – University of Leuven)

  • Colin A. Russell

    (University of Cambridge)

Abstract

The analysis of more than 9,000 haemagglutinin sequences of human seasonal influenza viruses over a 12-year time period shows that the global circulation patterns of A/H1N1 and B viruses are different from those of the well characterised A/H3N2 viruses; in particular the A/H1N1 and B viruses are shown to persist locally across several seasons and do not display the same degree of global movement as the H3N2 viruses.

Suggested Citation

  • Trevor Bedford & Steven Riley & Ian G. Barr & Shobha Broor & Mandeep Chadha & Nancy J. Cox & Rodney S. Daniels & C. Palani Gunasekaran & Aeron C. Hurt & Anne Kelso & Alexander Klimov & Nicola S. Lewis, 2015. "Global circulation patterns of seasonal influenza viruses vary with antigenic drift," Nature, Nature, vol. 523(7559), pages 217-220, July.
    • Handle: RePEc:nat:nature:v:523:y:2015:i:7559:d:10.1038_nature14460
    DOI: 10.1038/nature14460
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    Cited by:

    1. Amanda C. Perofsky & Chelsea L. Hansen & Roy Burstein & Shanda Boyle & Robin Prentice & Cooper Marshall & David Reinhart & Ben Capodanno & Melissa Truong & Kristen Schwabe-Fry & Kayla Kuchta & Brian P, 2024. "Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre- and post-COVID-19 pandemic years," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Deka, Aniruddha & Bhattacharyya, Samit, 2022. "The effect of human vaccination behaviour on strain competition in an infectious disease: An imitation dynamic approach," Theoretical Population Biology, Elsevier, vol. 143(C), pages 62-76.
    3. Jingzhi Lou & Weiwen Liang & Lirong Cao & Inchi Hu & Shi Zhao & Zigui Chen & Renee Wan Yi Chan & Peter Pak Hang Cheung & Hong Zheng & Caiqi Liu & Qi Li & Marc Ka Chun Chong & Yexian Zhang & Eng-kiong , 2024. "Predictive evolutionary modelling for influenza virus by site-based dynamics of mutations," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    4. Adam Kucharski, 2022. "Adam Kucharski's invited discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 143-144, November.
    5. Sissy Therese Sonnleitner & Martina Prelog & Stefanie Sonnleitner & Eva Hinterbichler & Hannah Halbfurter & Dominik B. C. Kopecky & Giovanni Almanzar & Stephan Koblmüller & Christian Sturmbauer & Leon, 2022. "Cumulative SARS-CoV-2 mutations and corresponding changes in immunity in an immunocompromised patient indicate viral evolution within the host," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    6. Eben Kenah & Tom Britton & M Elizabeth Halloran & Ira M Longini Jr, 2016. "Molecular Infectious Disease Epidemiology: Survival Analysis and Algorithms Linking Phylogenies to Transmission Trees," PLOS Computational Biology, Public Library of Science, vol. 12(4), pages 1-29, April.
    7. Bonacina Francesco & Lopez Olivier & Thomas Maud, 2025. "Tree-based conditional copula estimation," Dependence Modeling, De Gruyter, vol. 13(1), pages 1-25.

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