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Emergence and pandemic potential of swine-origin H1N1 influenza virus

Author

Listed:
  • Gabriele Neumann

    (University of Wisconsin-Madison, Madison, Wisconsin 53711, USA)

  • Takeshi Noda

    (International Research Center for Infectious Diseases,)

  • Yoshihiro Kawaoka

    (University of Wisconsin-Madison, Madison, Wisconsin 53711, USA
    International Research Center for Infectious Diseases,
    Institute of Medical Science, University of Tokyo
    ERATO Infection-Induced Host Responses Project, Japan Science and Technology Agency)

Abstract

Swine flu so far: the emergence of pandemic H1N1 With the swine-origin H1N1 influenza outbreak now officially a global pandemic, Gabriele Neumann, Takeshi Noda and Yoshihiro Kawaoka take stock of our knowledge of the emergence of the H1N1 virus, and compare its antigenic and pathologic properties with those of previously circulating influenza strains. They conclude that the world was ill-prepared to cope with the pandemic. On the prospects for better preparedness in future, they say that although much has been learned, we need to know more about interspecies transmission, reassortment and human-to-human transmission. A Nature paper published online last week, underlines the importance of surveillance of flu viruses in swine as a means of detecting strains with pandemic potential.

Suggested Citation

  • Gabriele Neumann & Takeshi Noda & Yoshihiro Kawaoka, 2009. "Emergence and pandemic potential of swine-origin H1N1 influenza virus," Nature, Nature, vol. 459(7249), pages 931-939, June.
    • Handle: RePEc:nat:nature:v:459:y:2009:i:7249:d:10.1038_nature08157
    DOI: 10.1038/nature08157
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    Cited by:

    1. Folinas, Sotiris & Metaxas, Theodore, 2020. "‘Tourism: The Great Patient of Coronavirus COVID-2019’," MPRA Paper 99666, University Library of Munich, Germany.
    2. Ricardo Aguas & Neil M Ferguson, 2013. "Feature Selection Methods for Identifying Genetic Determinants of Host Species in RNA Viruses," PLOS Computational Biology, Public Library of Science, vol. 9(10), pages 1-10, October.
    3. Michael George Roberts & Hiroshi Nishiura, 2011. "Early Estimation of the Reproduction Number in the Presence of Imported Cases: Pandemic Influenza H1N1-2009 in New Zealand," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-9, May.
    4. Christian Sieben & Erdinc Sezgin & Christian Eggeling & Suliana Manley, 2020. "Influenza A viruses use multivalent sialic acid clusters for cell binding and receptor activation," PLOS Pathogens, Public Library of Science, vol. 16(7), pages 1-27, July.
    5. Lee, Choong-Ki & Song, Hak-Jun & Bendle, Lawrence J. & Kim, Myung-Ja & Han, Heesup, 2012. "The impact of non-pharmaceutical interventions for 2009 H1N1 influenza on travel intentions: A model of goal-directed behavior," Tourism Management, Elsevier, vol. 33(1), pages 89-99.
    6. Tobias S Brett & Pejman Rohani, 2020. "Dynamical footprints enable detection of disease emergence," PLOS Biology, Public Library of Science, vol. 18(5), pages 1-20, May.
    7. Tony Marion & Husni Elbahesh & Paul G Thomas & John P DeVincenzo & Richard Webby & Klaus Schughart, 2016. "Respiratory Mucosal Proteome Quantification in Human Influenza Infections," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-16, April.
    8. Suman R Das & Pere Puigbò & Scott E Hensley & Darrell E Hurt & Jack R Bennink & Jonathan W Yewdell, 2010. "Glycosylation Focuses Sequence Variation in the Influenza A Virus H1 Hemagglutinin Globular Domain," PLOS Pathogens, Public Library of Science, vol. 6(11), pages 1-13, November.

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