Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18291
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBradhurst, Richard Aen
dc.contributor.authorRoche, S Een
dc.contributor.authorEast, I Jen
dc.contributor.authorKwan, Paul Hen
dc.contributor.authorGarner, M Gen
dc.date.accessioned2015-12-22T16:02:00Z
dc.date.issued2016en
dc.identifier.citationEnvironmental Modelling & Software, v.77, p. 1-12en
dc.identifier.issn1873-6726en
dc.identifier.issn1364-8152en
dc.identifier.urihttps://hdl.handle.net/1959.11/18291en
dc.description.abstractAgent-based models (ABMs) are well suited to representing the spatiotemporal spread and control of disease in a population. The explicit modelling of individuals in a large population, however, can be computationally intensive, especially when models are stochastic and/or spatially-explicit. Large-scale ABMs often require a highly parallel platform such as a high-performance computing cluster, which tends to confine their utility to university, defence and scientific research environments. This poses a challenge for those interested in modelling the spread of disease on a large scale with access only to modest hardware platforms. The Australian Animal DISease (AADIS) model is a spatiotemporal ABM of livestock disease spread and control. The AADIS ABM is able to complete complex national-scale simulations of disease spread and control on a personal computer. Computational efficiency is achieved through a hybrid model architecture that embeds equation-based models inside herd agents, an asynchronous software architecture, and a grid-based spatial indexing scheme.en
dc.languageenen
dc.publisherPergamon Pressen
dc.relation.ispartofEnvironmental Modelling & Softwareen
dc.titleImproving the computational efficiency of an agent-based spatiotemporal model of livestock disease spread and controlen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.envsoft.2015.11.015en
dc.subject.keywordsVeterinary Epidemiologyen
dc.subject.keywordsSimulation and Modellingen
dc.subject.keywordsArtificial Lifeen
local.contributor.firstnameRichard Aen
local.contributor.firstnameS Een
local.contributor.firstnameI Jen
local.contributor.firstnamePaul Hen
local.contributor.firstnameM Gen
local.subject.for2008070704 Veterinary Epidemiologyen
local.subject.for2008080102 Artificial Lifeen
local.subject.for2008080110 Simulation and Modellingen
local.subject.seo2008970108 Expanding Knowledge in the Information and Computing Sciencesen
local.subject.seo2008960405 Control of Pests, Diseases and Exotic Species at Regional or Larger Scalesen
local.subject.seo2008890201 Application Software Packages (excl. Computer Games)en
local.profile.schoolSchool of Science and Technologyen
local.profile.emailrbradhu2@une.edu.auen
local.profile.emailwkwan2@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20151213-074744en
local.publisher.placeOxford, United Kingdomen
local.format.startpage1en
local.format.endpage12en
local.peerreviewedYesen
local.identifier.volume77en
local.contributor.lastnameBradhursten
local.contributor.lastnameRocheen
local.contributor.lastnameEasten
local.contributor.lastnameKwanen
local.contributor.lastnameGarneren
dc.identifier.staffune-id:rbradhu2en
dc.identifier.staffune-id:wkwan2en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:18495en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleImproving the computational efficiency of an agent-based spatiotemporal model of livestock disease spread and controlen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.description.statisticsepubsVisitors: 230<br />Views: 283<br />Downloads: 0en
local.search.authorBradhurst, Richard Aen
local.search.authorRoche, S Een
local.search.authorEast, I Jen
local.search.authorKwan, Paul Hen
local.search.authorGarner, M Gen
Appears in Collections:Journal Article
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

5
checked on Nov 26, 2018

Page view(s)

38
checked on Feb 6, 2019
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.