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dc.contributor.authorBellomo, Nicola
dc.contributor.authorBingham, Richard
dc.contributor.authorChaplain, Mark A. J.
dc.contributor.authorDosi, Giovanni
dc.contributor.authorForni, Guido
dc.contributor.authorKnopoff, Damian A.
dc.contributor.authorLowengrub, John
dc.contributor.authorTwarock, Reidun
dc.contributor.authorVirgillito, Maria Enrica
dc.date.accessioned2020-11-13T16:30:06Z
dc.date.available2020-11-13T16:30:06Z
dc.date.issued2020-08-19
dc.identifier.citationBellomo , N , Bingham , R , Chaplain , M A J , Dosi , G , Forni , G , Knopoff , D A , Lowengrub , J , Twarock , R & Virgillito , M E 2020 , ' A multiscale model of virus pandemic : heterogeneous interactive entities in a globally connected world ' , Mathematical Models and Methods in Applied Sciences , vol. 30 , no. 08 , pp. 1591-1651 . https://doi.org/10.1142/s0218202520500323en
dc.identifier.issn0218-2025
dc.identifier.otherPURE: 271218410
dc.identifier.otherPURE UUID: 15165bf9-a69c-45e8-a4e4-25ace11d232b
dc.identifier.otherJisc: b1d556a797954ca7a6c06601803329bd
dc.identifier.otherScopus: 85090991017
dc.identifier.otherORCID: /0000-0001-5727-2160/work/83481899
dc.identifier.otherWOS: 000569327900005
dc.identifier.urihttp://hdl.handle.net/10023/20974
dc.descriptionFunding: Mark Chaplain acknowledges the assistance of the Rapid Assistance in Modelling the Pandemic Project coordinated by the Royal Society.en
dc.description.abstractThis paper is devoted to the multidisciplinary modelling of a pandemic initiated by an aggressive virus, specifically the so-called SARS–CoV–2 Severe Acute Respiratory Syndrome, corona virus n.2. The study is developed within a multiscale framework accounting for the interaction of different spatial scales, from the small scale of the virus itself and cells, to the large scale of individuals and further up to the collective behaviour of populations. An interdisciplinary vision is developed thanks to the contributions of epidemiologists, immunologists and economists as well as those of mathematical modellers. The first part of the contents is devoted to understanding the complex features of the system and to the design of a modelling rationale. The modelling approach is treated in the second part of the paper by showing both how the virus propagates into infected individuals, successfully and not successfully recovered, and also the spatial patterns, which are subsequently studied by kinetic and lattice models. The third part reports the contribution of research in the fields of virology, epidemiology, immune competition, and economy focussed also on social behaviours. Finally, a critical analysis is proposed looking ahead to research perspectives.
dc.format.extent61
dc.language.isoeng
dc.relation.ispartofMathematical Models and Methods in Applied Sciencesen
dc.rightsCopyright © The Author(s). This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en
dc.subjectCOVID-19en
dc.subjectLiving systemsen
dc.subjectImmune competitionen
dc.subjectComplexityen
dc.subjectMultiscale problemsen
dc.subjectSpatial patternsen
dc.subjectNetworksen
dc.subjectIntracellular infection dynamicsen
dc.subjectViral quasispeciesen
dc.subjectVirus structure modellingen
dc.subjectSARS-CoV-2en
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectQR355 Virologyen
dc.subjectT-NDASen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.subject.lccQR355en
dc.titleA multiscale model of virus pandemic : heterogeneous interactive entities in a globally connected worlden
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews.Applied Mathematicsen
dc.identifier.doihttps://doi.org/10.1142/s0218202520500323
dc.description.statusPeer revieweden


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