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dc.contributor.authorMann, Peter Stephen
dc.contributor.authorSmith, V.A.
dc.contributor.authorMitchell, John B. O.
dc.contributor.authorDobson, Simon Andrew
dc.date.accessioned2021-06-18T08:30:02Z
dc.date.available2021-06-18T08:30:02Z
dc.date.issued2021-06-17
dc.identifier.citationMann , P S , Smith , V A , Mitchell , J B O & Dobson , S A 2021 , ' Two-pathogen model with competition on clustered networks ' , Physical Review. E, Statistical, nonlinear, and soft matter physics , vol. 103 , no. 6 , 062308 . https://doi.org/10.1103/PhysRevE.103.062308en
dc.identifier.issn1539-3755
dc.identifier.otherPURE: 274300187
dc.identifier.otherPURE UUID: ae2a860e-9771-481d-8b74-ad456bb2c801
dc.identifier.otherORCID: /0000-0002-0379-6097/work/95772310
dc.identifier.otherORCID: /0000-0002-0487-2469/work/95772395
dc.identifier.otherORCID: /0000-0001-9633-2103/work/95772422
dc.identifier.otherWOS: 000663307700002
dc.identifier.otherScopus: 85108739937
dc.identifier.urihttp://hdl.handle.net/10023/23386
dc.description.abstractNetworks provide a mathematically rich framework to represent social contacts sufficient for the transmission of disease. Social networks are often highly clustered and fail to be locally tree-like. In this paper, we study the effects of clustering on the spread of sequential strains of a pathogen using the generating function formulation under a complete cross-immunity coupling, deriving conditions for the threshold of coexistence of the second strain. We show that clustering reduces the coexistence threshold of the second strain and its outbreak size in Poisson networks, whilst exhibiting the opposite effects on uniform-degree models. We conclude that clustering within a population must increase the ability of the second wave of an epidemic to spread over a network. We apply our model to the study of multilayer clustered networks and observe the fracturing of the residual graph at two distinct transmissibilities.
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofPhysical Review. E, Statistical, nonlinear, and soft matter physicsen
dc.rightsCopyright © 2021 American Physical Society. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1103/PhysRevE.103.062308.en
dc.subjectComplex networksen
dc.subjectPercolationen
dc.subjectEpidemic spreadingen
dc.subjectCo-infectionen
dc.subjectClustered networksen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.subject.lccRA0421en
dc.titleTwo-pathogen model with competition on clustered networksen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Chemistryen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews.Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews.EaSTCHEMen
dc.contributor.institutionUniversity of St Andrews.Biomedical Sciences Research Complexen
dc.contributor.institutionUniversity of St Andrews.Office of the Principalen
dc.contributor.institutionUniversity of St Andrews.St Andrews Centre for Exoplanet Scienceen
dc.contributor.institutionUniversity of St Andrews.Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews.Centre for Higher Education Researchen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.St Andrews Bioinformatics Uniten
dc.identifier.doihttps://doi.org/10.1103/PhysRevE.103.062308
dc.description.statusPeer revieweden
dc.identifier.urlhttps://arxiv.org/abs/2007.03287en


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