Research ArticleInfluenza

Evolution-informed forecasting of seasonal influenza A (H3N2)

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Science Translational Medicine  25 Oct 2017:
Vol. 9, Issue 413, eaan5325
DOI: 10.1126/scitranslmed.aan5325

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  • Influenza virus disease and time series
    • Carlos Polanco, Postdoctoral Researcher, Universidad Nacional Autónoma de México

    To the editor:

    Influenza virus disease and time series

    The interesting manuscript by Du and colleagues (1) [Evolution-informed forecasting of seasonal influenza A (H3N2), Science], shows important results, based on Time Series (10 years) applied to influenza outbreaks (2016/2017).

    In my view, a predictive model that uses time series could be improved if their data were obtained from subjects with any of the symptoms; distributing electronic devices that collect the data, or using websites where a significant number of individuals enter this information.

    Sincerely yours,
    Carlos Polanco, Ph.D., D.Sc.
    Universidad Nacional Autónoma de México, México City, México.

    Carlos Polanco is an Associate Professor at the Department of Mathematics in the Universidad Nacional Autónoma de México, México city, México. (polanco@unam.mx).

    References
    1. Du X, King AA, Woods Rj, Pascual M. Evolution-informed forecasting of seasonal influenza A (H3N2). Sci Transl Med. 2017;9. pii:eaan5325. Doi: 10.1126/scitranslmed.aan5325.

    Competing Interests: None declared.