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Using AquaticHealth.net to Detect Emerging Trends in Aquatic Animal Health

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Author Info

  • Aidan Lyon

    ()
    (Philosophy Department, University of Maryland, College Park, MD 20742, USA)

  • Allan Mooney

    ()
    (Department of Agriculture, Fisheries and Forestry, London Circuit, Canberra, Australian Capital Territory 0200, Australia)

  • Geoff Grossel

    ()
    (Department of Agriculture, Fisheries and Forestry, London Circuit, Canberra, Australian Capital Territory 0200, Australia)

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    Abstract

    AquaticHealth.net is an open-source aquatic biosecurity intelligence application. By combining automated data collection and human analysis, AquaticHealth.net provides fast and accurate disease outbreak detection and forecasts, accompanied with nuanced explanations. The system has been online and open to the public since 1 January 2010, it has over 200 registered expert users around the world, and it typically publishes about seven daily reports and two weekly disease alerts. We document the major trends in aquatic animal health that the system has detected over these two years, and conclude with some forecasts for the future.

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    File URL: http://www.mdpi.com/2077-0472/3/2/299/pdf
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    Bibliographic Info

    Article provided by MDPI, Open Access Journal in its journal Agriculture.

    Volume (Year): 3 (2013)
    Issue (Month): 2 (May)
    Pages: 299-309

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    Handle: RePEc:gam:jagris:v:3:y:2013:i:2:p:299-309:d:25820

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    Web page: http://www.mdpi.com/

    Related research

    Keywords: aquaculture; intelligence; disease; biosecurity; aquatic animal health; digital disease detection; social epistemology;

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