Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23544
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dc.contributor.authorEnright, Jessica-
dc.contributor.authorKao, Rowland R-
dc.date.accessioned2016-11-21T22:13:51Z-
dc.date.available2016-11-21T22:13:51Z-
dc.date.issued2016-09-
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.isoen-
dc.publisherElsevier-
dc.relationEnright J & Kao RR (2016) A fast algorithm for calculating an expected outbreak size on dynamic contagion networks, Epidemics, 16, pp. 56-62.-
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/)-
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.doihttp://dx.doi.org/10.1016/j.epidem.2016.05.002-
dc.identifier.pmid27379615-
dc.citation.jtitleEpidemics-
dc.citation.issn1755-4365-
dc.citation.volume16-
dc.citation.spage56-
dc.citation.epage62-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusPublisher version (final published refereed version)-
dc.author.emailjae@cs.stir.ac.uk-
dc.citation.date24/05/2016-
dc.contributor.affiliationMathematics - CSM Dept-
dc.contributor.affiliationUniversity of Glasgow-
dc.identifier.isi000384841400008-
Appears in Collections:Computing Science and Mathematics Journal Articles

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