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dc.contributor.author
Aguiar, Maíra
dc.contributor.author
Dosi, Giovanni
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Knopoff, Damián Alejandro
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dc.contributor.author
Virgillito, Maria Enrica
dc.date.available
2022-10-12T16:46:18Z
dc.date.issued
2021-11
dc.identifier.citation
Aguiar, Maíra; Dosi, Giovanni; Knopoff, Damián Alejandro; Virgillito, Maria Enrica; A multiscale network-based model of contagion dynamics: Heterogeneity, spatial distancing and vaccination; World Scientific; Mathematical Models And Methods In Applied Sciences; 31; 12; 11-2021; 2425-2454
dc.identifier.issn
0218-2025
dc.identifier.uri
http://hdl.handle.net/11336/172725
dc.description.abstract
Lockdown and vaccination policies have been the major concern in the last year in order to contain the SARS-CoV-2 infection during the COVID-19 pandemic. In this paper, we present a model able to evaluate alternative lockdown policies and vaccination strategies. Our approach integrates and refines the multiscale model proposed by Bellomo et al., 2020, analyzing alternative network structures and bridging two perspectives to study complexity of living systems. Inside different matrices of contacts we explore the impact of closures of distinct nodes upon the overall contagion dynamics. Social distancing is shown to be more effective when targeting the reduction of contacts among and inside the most vulnerable nodes, namely hospitals/nursing homes. Moreover, our results suggest that school closures alone would not significantly affect the infection dynamics and the number of deaths in the population. Finally, we investigate a scenario with immunization in order to understand the effectiveness of targeted vaccination policies towards the most vulnerable individuals. Our model agrees with the current proposed vaccination strategy prioritizing the most vulnerable segment of the population to reduce severe cases and deaths.
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-nd/2.5/ar/
dc.subject
ACTIVE PARTICLES
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COVID-19
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EPIDEMIOLOGICAL MODELS
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HEALTH POLICIES
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KINETIC THEORY
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NETWORKS
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PANDEMIC
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SPATIAL PATTERNS
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VACCINATION
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Matemática Aplicada
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dc.subject.classification
Matemáticas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
A multiscale network-based model of contagion dynamics: Heterogeneity, spatial distancing and vaccination
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-19T16:06:45Z
dc.journal.volume
31
dc.journal.number
12
dc.journal.pagination
2425-2454
dc.journal.pais
Singapur
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dc.description.fil
Fil: Aguiar, Maíra. Università Di Trento; Italia. Basque Center For Applied Mathematics (bcam); España. Ikerbasque, Basque Foundation For Science; España
dc.description.fil
Fil: Dosi, Giovanni. Sant'anna Scuola Universitaria Superiore Pisa; Italia
dc.description.fil
Fil: Knopoff, Damián Alejandro. Universidad Nacional de Córdoba; Argentina. Basque Center For Applied Mathematics; España. 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
dc.description.fil
Fil: Virgillito, Maria Enrica. Sant'anna Scuola Universitaria Superiore Pisa; Italia
dc.journal.title
Mathematical Models And Methods In Applied Sciences
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1142/S0218202521500524
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/abs/10.1142/S0218202521500524
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