Agriculture 2013, 3(2), 299-309; doi:10.3390/agriculture3020299
Article

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

1 Philosophy Department, University of Maryland, College Park, MD 20742, USA 2 Department of Agriculture, Fisheries and Forestry, London Circuit, Canberra, Australian Capital Territory 0200, Australia
* Author to whom correspondence should be addressed.
Received: 22 February 2013; in revised form: 27 April 2013 / Accepted: 28 April 2013 / Published: 17 May 2013
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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.
Keywords: aquaculture; intelligence; disease; biosecurity; aquatic animal health; digital disease detection; social epistemology

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MDPI and ACS Style

Lyon, A.; Mooney, A.; Grossel, G. Using AquaticHealth.net to Detect Emerging Trends in Aquatic Animal Health. Agriculture 2013, 3, 299-309.

AMA Style

Lyon A, Mooney A, Grossel G. Using AquaticHealth.net to Detect Emerging Trends in Aquatic Animal Health. Agriculture. 2013; 3(2):299-309.

Chicago/Turabian Style

Lyon, Aidan; Mooney, Allan; Grossel, Geoff. 2013. "Using AquaticHealth.net to Detect Emerging Trends in Aquatic Animal Health." Agriculture 3, no. 2: 299-309.

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