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

Using to Detect Emerging Trends in Aquatic Animal Health

1,* email, 2email and 2email
Received: 22 February 2013; in revised form: 27 April 2013 / Accepted: 28 April 2013 / Published: 17 May 2013
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: is an open-source aquatic biosecurity intelligence application. By combining automated data collection and human analysis, 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 to Detect Emerging Trends in Aquatic Animal Health. Agriculture 2013, 3, 299-309.

AMA Style

Lyon A, Mooney A, Grossel G. Using 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 to Detect Emerging Trends in Aquatic Animal Health." Agriculture 3, no. 2: 299-309.

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