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Using “outbreak science” to strengthen the use of models during epidemics

Author

Listed:
  • Caitlin Rivers

    (Johns Hopkins Center for Health Security)

  • Jean-Paul Chretien

    (Department of Defense)

  • Steven Riley

    (School of Public Health, Imperial College)

  • Julie A. Pavlin

    (Engineering, and Medicine)

  • Alexandra Woodward

    (Cherokee Nation Strategic Programs
    Armed Forces Health Surveillance Branch)

  • David Brett-Major

    (Uniformed Services University)

  • Irina Maljkovic Berry

    (Walter Reed Army Institute of Research)

  • Lindsay Morton

    (Cherokee Nation Strategic Programs
    Armed Forces Health Surveillance Branch
    George Washington University)

  • Richard G. Jarman

    (Walter Reed Army Institute of Research)

  • Matthew Biggerstaff

    (Centers for Disease Control & Prevention)

  • Michael A. Johansson

    (Centers for Disease Control & Prevention)

  • Nicholas G. Reich

    (University of Massachusetts Amherst School of Public Health and Health Sciences)

  • Diane Meyer

    (Johns Hopkins Center for Health Security)

  • Michael R. Snyder

    (Johns Hopkins Center for Health Security)

  • Simon Pollett

    (Uniformed Services University
    Walter Reed Army Institute of Research
    University of Sydney)

Abstract

Infectious disease modeling has played a prominent role in recent outbreaks, yet integrating these analyses into public health decision-making has been challenging. We recommend establishing ‘outbreak science’ as an inter-disciplinary field to improve applied epidemic modeling.

Suggested Citation

  • Caitlin Rivers & Jean-Paul Chretien & Steven Riley & Julie A. Pavlin & Alexandra Woodward & David Brett-Major & Irina Maljkovic Berry & Lindsay Morton & Richard G. Jarman & Matthew Biggerstaff & Micha, 2019. "Using “outbreak science” to strengthen the use of models during epidemics," Nature Communications, Nature, vol. 10(1), pages 1-3, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11067-2
    DOI: 10.1038/s41467-019-11067-2
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    Cited by:

    1. Gamze Bayın Donar & Seda Aydan, 2022. "Association of COVID‐19 with lifestyle behaviours and socio‐economic variables in Turkey: An analysis of Google Trends," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(1), pages 281-300, January.

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