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What to know before forecasting the flu

Author

Listed:
  • Prithwish Chakraborty
  • Bryan Lewis
  • Stephen Eubank
  • John S Brownstein
  • Madhav Marathe
  • Naren Ramakrishnan

Abstract

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Suggested Citation

  • Prithwish Chakraborty & Bryan Lewis & Stephen Eubank & John S Brownstein & Madhav Marathe & Naren Ramakrishnan, 2018. "What to know before forecasting the flu," PLOS Computational Biology, Public Library of Science, vol. 14(10), pages 1-7, October.
    • Handle: RePEc:plo:pcbi00:1005964
    DOI: 10.1371/journal.pcbi.1005964
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    References listed on IDEAS

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    1. Logan C Brooks & David C Farrow & Sangwon Hyun & Ryan J Tibshirani & Roni Rosenfeld, 2015. "Flexible Modeling of Epidemics with an Empirical Bayes Framework," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-18, August.
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    Cited by:

    1. Prashant Rangarajan & Sandeep K Mody & Madhav Marathe, 2019. "Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data," PLOS Computational Biology, Public Library of Science, vol. 15(11), pages 1-24, November.
    2. Yu-Chih Wei & Yan-Ling Ou & Jianqiang Li & Wei-Chen Wu, 2022. "Forecasting the Potential Number of Influenza-like Illness Cases by Fusing Internet Public Opinion," Sustainability, MDPI, vol. 14(5), pages 1-24, February.
    3. Roger A Morbey & Andre Charlett & Iain Lake & James Mapstone & Richard Pebody & James Sedgwick & Gillian E Smith & Alex J Elliot, 2020. "Can syndromic surveillance help forecast winter hospital bed pressures in England?," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-11, February.

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