A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World

Autores
Bellomo, Nicola; Bingham, Richard; Chaplain, Mark A. J.; Dosi, Giovanni; Forni, Guido; Knopoff, Damián Alejandro; Lowengrub, John; Twarock, Reidun; Virgillito, Maria Enrica
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Bellomo, Nicola. Universidad de Granada; España
Fil: Bingham, Richard. University of York; Reino Unido
Fil: Chaplain, Mark A. J.. University of St. Andrews; Reino Unido
Fil: Dosi, Giovanni. Scuola Superiore Sant’Anna; Italia
Fil: Forni, Guido. Accademia Nazionale dei Lincei; Italia
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
Fil: Lowengrub, John. University of California at Irvine; Estados Unidos
Fil: Twarock, Reidun. University of York; Reino Unido
Fil: Virgillito, Maria Enrica. Scuola Superiore Sant’Anna; Italia
Materia
COVID-19
LIVING SYSTEMS
IMMUNE COMPETITION
COMPLEXITY
MULTISCALE PROBLEMS
SPATIAL PATTERNS
NETWORKS
INTRACELLULAR INFECTION DYNAMICS
VIRAL QUASISPECIES
VIRUS STRUCTURE MODELLING
SARS-COV-2
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/110177
Acceder
id CONICETDig_e7669d0901b2eb98fb719cc115193e86
oai_identifier_str oai:ri.conicet.gov.ar:11336/110177
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected WorldBellomo, NicolaBingham, RichardChaplain, Mark A. J.Dosi, GiovanniForni, GuidoKnopoff, Damián AlejandroLowengrub, JohnTwarock, ReidunVirgillito, Maria EnricaCOVID-19LIVING SYSTEMSIMMUNE COMPETITIONCOMPLEXITYMULTISCALE PROBLEMSSPATIAL PATTERNSNETWORKSINTRACELLULAR INFECTION DYNAMICSVIRAL QUASISPECIESVIRUS STRUCTURE MODELLINGSARS-COV-2https://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1https://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3https://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3This 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.Fil: Bellomo, Nicola. Universidad de Granada; EspañaFil: Bingham, Richard. University of York; Reino UnidoFil: Chaplain, Mark A. J.. University of St. Andrews; Reino UnidoFil: Dosi, Giovanni. Scuola Superiore Sant’Anna; ItaliaFil: Forni, Guido. Accademia Nazionale dei Lincei; ItaliaFil: 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; ArgentinaFil: Lowengrub, John. University of California at Irvine; Estados UnidosFil: Twarock, Reidun. University of York; Reino UnidoFil: Virgillito, Maria Enrica. Scuola Superiore Sant’Anna; ItaliaWorld Scientific2020-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/110177Bellomo, 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; 1-640218-2025CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/abs/10.1142/S0218202520500323info:eu-repo/semantics/altIdentifier/doi/10.1142/S0218202520500323info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:48:17Zoai:ri.conicet.gov.ar:11336/110177instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:48:17.892CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World
title A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World
spellingShingle A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World
Bellomo, Nicola
COVID-19
LIVING SYSTEMS
IMMUNE COMPETITION
COMPLEXITY
MULTISCALE PROBLEMS
SPATIAL PATTERNS
NETWORKS
INTRACELLULAR INFECTION DYNAMICS
VIRAL QUASISPECIES
VIRUS STRUCTURE MODELLING
SARS-COV-2
title_short A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World
title_full A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World
title_fullStr A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World
title_full_unstemmed A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World
title_sort A Multi-Scale Model of Virus Pandemic: Heterogeneous Interactive Entities in a Globally Connected World
dc.creator.none.fl_str_mv Bellomo, Nicola
Bingham, Richard
Chaplain, Mark A. J.
Dosi, Giovanni
Forni, Guido
Knopoff, Damián Alejandro
Lowengrub, John
Twarock, Reidun
Virgillito, Maria Enrica
author Bellomo, Nicola
author_facet Bellomo, Nicola
Bingham, Richard
Chaplain, Mark A. J.
Dosi, Giovanni
Forni, Guido
Knopoff, Damián Alejandro
Lowengrub, John
Twarock, Reidun
Virgillito, Maria Enrica
author_role author
author2 Bingham, Richard
Chaplain, Mark A. J.
Dosi, Giovanni
Forni, Guido
Knopoff, Damián Alejandro
Lowengrub, John
Twarock, Reidun
Virgillito, Maria Enrica
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv COVID-19
LIVING SYSTEMS
IMMUNE COMPETITION
COMPLEXITY
MULTISCALE PROBLEMS
SPATIAL PATTERNS
NETWORKS
INTRACELLULAR INFECTION DYNAMICS
VIRAL QUASISPECIES
VIRUS STRUCTURE MODELLING
SARS-COV-2
topic COVID-19
LIVING SYSTEMS
IMMUNE COMPETITION
COMPLEXITY
MULTISCALE PROBLEMS
SPATIAL PATTERNS
NETWORKS
INTRACELLULAR INFECTION DYNAMICS
VIRAL QUASISPECIES
VIRUS STRUCTURE MODELLING
SARS-COV-2
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv 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.
Fil: Bellomo, Nicola. Universidad de Granada; España
Fil: Bingham, Richard. University of York; Reino Unido
Fil: Chaplain, Mark A. J.. University of St. Andrews; Reino Unido
Fil: Dosi, Giovanni. Scuola Superiore Sant’Anna; Italia
Fil: Forni, Guido. Accademia Nazionale dei Lincei; Italia
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
Fil: Lowengrub, John. University of California at Irvine; Estados Unidos
Fil: Twarock, Reidun. University of York; Reino Unido
Fil: Virgillito, Maria Enrica. Scuola Superiore Sant’Anna; Italia
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/110177
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
0218-2025
CONICET Digital
CONICET
url http://hdl.handle.net/11336/110177
identifier_str_mv 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
0218-2025
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/abs/10.1142/S0218202520500323
info:eu-repo/semantics/altIdentifier/doi/10.1142/S0218202520500323
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv World Scientific
publisher.none.fl_str_mv World Scientific
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613500636233728
score 13.070432

Publicaciones similares