期刊论文详细信息
Agriculture
Using AquaticHealth.net to Detect Emerging Trends in Aquatic Animal Health
Aidan Lyon2  Allan Mooney1 
[1] Department of Agriculture, Fisheries and Forestry, London Circuit, Canberra, Australian Capital Territory 0200, Australia; E-Mails:;Philosophy Department, University of Maryland, College Park, MD 20742, USA
关键词: aquaculture;    intelligence;    disease;    biosecurity;    aquatic animal health;    digital disease detection;    social epistemology;   
DOI  :  10.3390/agriculture3020299
来源: mdpi
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【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.

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