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

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dc.contributor.authorLyon, Aidan
dc.contributor.authorMooney, Allan
dc.contributor.authorGrossel, Geoff
dc.date.accessioned2024-01-30T17:00:19Z
dc.date.available2024-01-30T17:00:19Z
dc.date.issued2013-05-17
dc.description.abstractAquaticHealth.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.
dc.description.urihttps://doi.org/10.3390/agriculture3020299
dc.identifierhttps://doi.org/10.13016/dspace/xlge-a61t
dc.identifier.citationLyon, A.; Mooney, A.; Grossel, G. Using AquaticHealth.net to Detect Emerging Trends in Aquatic Animal Health. Agriculture 2013, 3, 299-309.
dc.identifier.urihttp://hdl.handle.net/1903/31613
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtCollege of Arts & Humanitiesen_us
dc.relation.isAvailableAtPhilosophyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectaquaculture
dc.subjectintelligence
dc.subjectdisease
dc.subjectbiosecurity
dc.subjectaquatic animal health
dc.subjectdigital disease detection
dc.subjectsocial epistemology
dc.titleUsing AquaticHealth.net to Detect Emerging Trends in Aquatic Animal Health
dc.typeArticle
local.equitableAccessSubmissionNo

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