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Using to Detect Emerging Trends in Aquatic Animal Health

Author(s): Aidan Lyon | Allan Mooney | Geoff Grossel

Journal: Agriculture (Basel)
ISSN 2077-0472

Volume: 3;
Issue: 2;
Start page: 299;
Date: 2013;
Original page

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

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.
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