Using aquatichealth.Net to detect emerging trends in aquatic animal health

Agriculture (Switzerland)

Volumn 3, Issue 2, 2013, Pages 299-309

  Lyon, Aidan ^a   Mooney, Allan ^b   Grossel, Geoff ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b Fisheries and Forestry ^*  (Australia)

Author keywords

Aquaculture; Aquatic animal health; Biosecurity; Digital disease detection; Disease; Intelligence; Social epistemology

Indexed keywords

EID: 84984677779     PISSN: None     EISSN: 20770472     Source Type: Journal    
DOI: 10.3390/agriculture3020299     Document Type: Article

References (6)

1. Lyon, A.; Grossel, G.; Burgman, M.; Nunn, M. Using internet intelligence to manage biosecurity risks: A case study for aquatic animal health. Divers. Distrib. 2013, in press.
2. Brownstein, J.S.; Freifeld, C.C.; Madoff, L.C. Digital disease detection—Harnessing the Web for public health surveillance. New Engl. J. Med. 2009, 360, 2153–2157.
3. Chalmers, D. The Singularity: A Philosophical Analysis. J. Conscious. Stud. 2010, 17, 7–65.
4. Floridi, L. Web 2.0 vs. the Semantic Web: A philosophical assessment. Episteme 2009, 6, 25–37.
5. Grossel, G.; Lyon, A.; Nunn, M. Open-Intelligence Gathering and Analysis for Biosecurity, Risk-Based Decisions for Biological Threats; Walshe, T., Ed.; Cambridge University Press: Cambridge, UK, 2013.
6. China Shrimp Report details problems of 2010, says demand for imported shrimp will continue in 2011. Available online: Http://033a4a2.netsolhost.com/news_details.php?news_id=8 (accessed on 04 March 2011).