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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23544
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dc.contributor.authorEnright, Jessicaen_UK
dc.contributor.authorKao, Rowland Ren_UK
dc.date.accessioned2016-11-21T22:13:51Z-
dc.date.available2016-11-21T22:13:51Z-
dc.date.issued2016-09en_UK
dc.identifier.urihttp://hdl.handle.net/1893/23544-
dc.description.abstractCalculation of expected outbreak size of a simple contagion on a known contact network is a common and important epidemiological task, and is typically carried out by computationally intensive simulation. We describe an efficient exact method to calculate the expected outbreak size of a contagion on an outbreak-invariant network that is a directed and acyclic, allowing us to model all dynamically changing networks when contagion can only travel forward in time. We describe our algorithm and its use in pseudocode, as well as showing examples of its use on disease relevant, data-derived networks.en_UK
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relationEnright J & Kao RR (2016) A fast algorithm for calculating an expected outbreak size on dynamic contagion networks. Epidemics, 16, pp. 56-62. https://doi.org/10.1016/j.epidem.2016.05.002en_UK
dc.rights© 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectNetwork modellingen_UK
dc.subjectContagion on networksen_UK
dc.titleA fast algorithm for calculating an expected outbreak size on dynamic contagion networksen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.epidem.2016.05.002en_UK
dc.identifier.pmid27379615en_UK
dc.citation.jtitleEpidemicsen_UK
dc.citation.issn1755-4365en_UK
dc.citation.volume16en_UK
dc.citation.spage56en_UK
dc.citation.epage62en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailjae@cs.stir.ac.uken_UK
dc.citation.date24/05/2016en_UK
dc.contributor.affiliationMathematicsen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.identifier.isiWOS:000384841400008en_UK
dc.identifier.scopusid2-s2.0-84976517649en_UK
dc.identifier.wtid559606en_UK
dc.contributor.orcid0000-0002-0266-3292en_UK
dc.date.accepted2016-05-18en_UK
dcterms.dateAccepted2016-05-18en_UK
dc.date.filedepositdate2016-07-05en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorEnright, Jessica|0000-0002-0266-3292en_UK
local.rioxx.authorKao, Rowland R|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2016-07-05en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2016-07-05|en_UK
local.rioxx.filenameEnright_and_Kao_Epidemics_2016.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1755-4365en_UK
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