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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19661
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dc.contributor.authorBradhurst, Richard Alanen
dc.contributor.authorKwan, Paulen
dc.contributor.authorGarner, Graemeen
dc.contributor.authorSajeev, Abudulkadiren
dc.date.accessioned2016-11-27T15:54:00Z-
dc.date.created2015en
dc.date.issued2016-
dc.identifier.urihttps://hdl.handle.net/1959.11/19661-
dc.description.abstractThis thesis presents the Australian Animal DISease (AADIS) model - a new disease modelling approach to support emergency livestock disease preparedness and planning in Australia. AADIS expands the livestock disease modelling capabilities of the Australian Government Department of Agriculture and Water Resources from regional to national-scale. The test case disease for AADIS is foot-and-mouth disease (FMD), which is well-known for its contagiousness and economic importance.en
dc.languageenen
dc.titleModelling the spatiotemporal spread and control of viral disease in livestock using a hybrid equation-based and agent-based approachen
dc.typeThesis Doctoralen
dcterms.accessRightsUNE Greenen
dc.subject.keywordsSimulation and Modellingen
dc.subject.keywordsSoftware Engineeringen
dc.subject.keywordsComputer System Securityen
local.contributor.firstnameRichard Alanen
local.contributor.firstnamePaulen
local.contributor.firstnameGraemeen
local.contributor.firstnameAbudulkadiren
local.subject.for2008080309 Software Engineeringen
local.subject.for2008080110 Simulation and Modellingen
local.subject.for2008080303 Computer System Securityen
local.subject.seo2008890201 Application Software Packages (excl. Computer Games)en
dcterms.RightsStatementCopyright 2015 - Richard Alan Bradhursten
dc.date.conferred2016en
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailrbradhur@myune.edu.auen
local.profile.emailwkwan2@une.edu.auen
local.profile.emailmgarner3@une.edu.auen
local.profile.emailasajeev@une.edu.auen
local.output.categoryT2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune_thesis-20150610-134321en
local.access.fulltextYesen
local.contributor.lastnameBradhursten
local.contributor.lastnameKwanen
local.contributor.lastnameGarneren
local.contributor.lastnameSajeeven
dc.identifier.staffune-id:rbradhuren
dc.identifier.staffune-id:wkwan2en
dc.identifier.staffune-id:mgarner3en
dc.identifier.staffune-id:asajeeven
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:19851en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleModelling the spatiotemporal spread and control of viral disease in livestock using a hybrid equation-based and agent-based approachen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.relation.urlhttp://www.mssanz.org.au/modsim2013/A6/bradhurst.pdfen
local.thesis.borndigitalyesen
local.search.authorBradhurst, Richard Alanen
local.search.supervisorKwan, Paulen
local.search.supervisorGarner, Graemeen
local.search.supervisorSajeev, Abudulkadiren
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/1772da8f-4153-4ba1-81d2-1279d2d8cc04en
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/76d03e5d-4c1d-4ede-b8ee-b45f53e52818en
local.uneassociationYesen
local.year.conferred2016en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/1772da8f-4153-4ba1-81d2-1279d2d8cc04en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/76d03e5d-4c1d-4ede-b8ee-b45f53e52818en
local.subject.for2020461201 Automated software engineeringen
local.subject.for2020460207 Modelling and simulationen
local.subject.for2020460499 Cybersecurity and privacy not elsewhere classifieden
local.subject.seo2020220401 Application software packagesen
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