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dc.contributor.author
Bellomo, Nicola
dc.contributor.author
Bingham, Richard
dc.contributor.author
Chaplain, Mark A. J.
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Dosi, Giovanni
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Forni, Guido
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Knopoff, Damián Alejandro
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dc.contributor.author
Lowengrub, John
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Twarock, Reidun
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Virgillito, Maria Enrica
dc.date.available
2020-07-24T15:17:48Z
dc.date.issued
2020-06
dc.identifier.citation
Bellomo, Nicola; Bingham, Richard; Chaplain, Mark A. J.; Dosi, Giovanni; Forni, Guido; et al.; A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World; World Scientific; Mathematical Models And Methods In Applied Sciences; 6-2020; 1-64
dc.identifier.issn
0218-2025
dc.identifier.uri
http://hdl.handle.net/11336/110177
dc.description.abstract
This paper is devoted to the multidisciplinary modelling of a pandemic initiated byan aggressive virus, specifically the so-called SARS?CoV?2 Severe Acute RespiratorySyndrome, corona virus n.2. The study is developed within a multiscale framework ac-counting for the interaction of different spatial scales, from the small scale of the virusitself and cells, to the large scale of individuals and further up to the collective behaviourof populations. An interdisciplinary vision is developed thanks to the contributions ofepidemiologists, immunologists and economists as well as those of mathematical mod-ellers. The first part of the contents is devoted to understanding the complex features ofthe system and to the design of a modelling rationale. The modelling approach is treatedin the second part of the paper by showing both how the virus propagates into infectedindividuals, successfully and not successfully recovered, and also the spatial patterns,which are subsequently studied by kinetic and lattice models. The third part reportsthe contribution of research in the fields of virology, epidemiology, immune competition,and economy focused also on social behaviours. Finally, a critical analysis is proposed looking ahead to research perspectives.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
World Scientific
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
COVID-19
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LIVING SYSTEMS
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IMMUNE COMPETITION
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COMPLEXITY
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MULTISCALE PROBLEMS
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SPATIAL PATTERNS
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NETWORKS
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INTRACELLULAR INFECTION DYNAMICS
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VIRAL QUASISPECIES
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VIRUS STRUCTURE MODELLING
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SARS-COV-2
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Matemática Aplicada
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Matemáticas
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CIENCIAS NATURALES Y EXACTAS
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Epidemiología
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Ciencias de la Salud
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CIENCIAS MÉDICAS Y DE LA SALUD
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Inmunología
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Medicina Básica
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CIENCIAS MÉDICAS Y DE LA SALUD
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dc.title
A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-07-24T14:39:38Z
dc.journal.pagination
1-64
dc.journal.pais
Singapur
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dc.conicet.avisoEditorial
Electronic version of an article published as [Mathematical Models and Methods in Applied Sciences, Accepted Papers, 2020] [10.1142/S0218202520500323] © [copyright World Scientific Publishing Company] [https://www.worldscientific.com/toc/m3as/0/ja]
dc.description.fil
Fil: Bellomo, Nicola. Universidad de Granada; España
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Fil: Bingham, Richard. University of York; Reino Unido
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Fil: Chaplain, Mark A. J.. University of St. Andrews; Reino Unido
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Fil: Dosi, Giovanni. Scuola Superiore Sant’Anna; Italia
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Fil: Forni, Guido. Accademia Nazionale dei Lincei; Italia
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Fil: Knopoff, Damián Alejandro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina
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Fil: Lowengrub, John. University of California at Irvine; Estados Unidos
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Fil: Twarock, Reidun. University of York; Reino Unido
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Fil: Virgillito, Maria Enrica. Scuola Superiore Sant’Anna; Italia
dc.journal.title
Mathematical Models And Methods In Applied Sciences
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/abs/10.1142/S0218202520500323
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1142/S0218202520500323
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