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.
Agriculture 2013, 3(2), 299-309; https://doi.org/10.3390/agriculture3020299
Received: 22 February 2013 / Revised: 27 April 2013 / Accepted: 28 April 2013 / Published: 17 May 2013
(This article belongs to the Special Issue Animal Diseases in Agriculture Production Systems: Trends and Impacts)
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.
View Full-Text
Keywords:
aquaculture; intelligence; disease; biosecurity; aquatic animal health; digital disease detection; social epistemology
This is an open access article distributed under the Creative Commons Attribution License
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 StyleLyon, Aidan; Mooney, Allan; Grossel, Geoff. 2013. "Using AquaticHealth.net to Detect Emerging Trends in Aquatic Animal Health" Agriculture 3, no. 2: 299-309.
Find Other Styles
Search more from Scilit
