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

Aidan Lyon, Allan Mooney and Geoff Grossel
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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

Agriculture, 2013, vol. 3, issue 2, 1-11

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 (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2013
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