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Using internet intelligence to manage biosecurity risks: a case study for aquatic animal health

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dc.contributor.authorLyon, Aidan
dc.contributor.authorGrossel, Geoff
dc.contributor.authorBurgmann, M A
dc.contributor.authorNunn, Mike
dc.date.accessioned2015-12-07T22:50:53Z
dc.date.issued2013
dc.date.updated2016-06-14T09:14:05Z
dc.identifier.issn1366-9516
dc.identifier.urihttp://hdl.handle.net/1885/27203
dc.publisherBlackwell Publishing Ltd
dc.sourceDiversity and Distributions
dc.subjectKeywords: aquatic community; automation; biosafety; disease incidence; forecasting method; health monitoring; Internet; risk assessment; taxonomy; Australia; Australian Capital Territory; Canberra; Maryland; United States Aggregation; Aquatic animal health; Biosecurity; Crowdsourcing; Intelligence; Risk analysis
dc.titleUsing internet intelligence to manage biosecurity risks: a case study for aquatic animal health
dc.typeJournal article
local.bibliographicCitation.issue5-6
local.bibliographicCitation.lastpage650
local.bibliographicCitation.startpage640
local.contributor.affiliationLyon, Aidan, College of Arts and Social Sciences, ANU
local.contributor.affiliationGrossel, Geoff, Department of Agriculture, Fisheries and Forestry
local.contributor.affiliationBurgmann, M A, University of Melbourne
local.contributor.affiliationNunn, Mike, Department of Agriculture, Fisheries and Forestry
local.contributor.authoruidLyon, Aidan, u4281198
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor070401 - Aquaculture
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo960903 - Coastal and Estuarine Water Management
local.identifier.absseo960604 - Environmental Management Systems
local.identifier.ariespublicationU5395746xPUB49
local.identifier.citationvolume19
local.identifier.doi10.1111/ddi.12057
local.identifier.scopusID2-s2.0-84877337072
local.type.statusPublished Version

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