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dc.contributor.authorBellomo, N.
dc.contributor.authorBrezzi, F.
dc.contributor.authorChaplain, M. A. J.
dc.identifier.citationBellomo , N , Brezzi , F & Chaplain , M A J 2021 , ' Modeling virus pandemics in a globally connected world a challenge towards a mathematics for living systems ' , Mathematical Models and Methods in Applied Sciences , vol. Online Ready , pp. 1-7 .
dc.identifier.otherPURE: 276240495
dc.identifier.otherPURE UUID: dc2cc1a0-4883-42b0-9c80-03801f102d16
dc.identifier.otherJisc: fe15f0d238054fa59f30edd1387e9957
dc.identifier.otherORCID: /0000-0001-5727-2160/work/101581637
dc.identifier.otherScopus: 85116728056
dc.identifier.otherWOS: 000741403100001
dc.description.abstractThis editorial paper presents the papers published in a special issue devoted to the modeling and simulation of mutating virus pandemics in a globally connected world. The presentation is proposed in three parts. First, motivations and objectives are presented according to the idea that mathematical models should go beyond deterministic population dynamics by considering the multiscale, heterogeneous features of the complex system under consideration. Subsequently, the contents of the papers in this issue are presented referring to the aforementioned complexity features. Finally, a critical analysis of the overall contents of the issue is proposed, with the aim of providing a forward look to research perspectives.
dc.relation.ispartofMathematical Models and Methods in Applied Sciencesen
dc.rightsCopyright © 2021 World Scientific Publishing Co Pte Ltd. 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
dc.subjectActive particlesen
dc.subjectMultiscale visionen
dc.subjectVirus contagion and mutationsen
dc.subjectQA Mathematicsen
dc.subjectQR355 Virologyen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titleModeling virus pandemics in a globally connected world a challenge towards a mathematics for living systemsen
dc.typeJournal itemen
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.description.statusPeer revieweden

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