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dc.contributor.author
Snellman, Jan E.
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Barreiro, Nadia Luisina
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Barrio, Rafael Ángel
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Ventura, Cecilia Ileana
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Govezensky, Tzipe
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Kaski, Kimmo K.
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Korpi Lagg, Maarit J.
dc.date.available
2024-07-24T14:28:53Z
dc.date.issued
2023-10
dc.identifier.citation
Snellman, Jan E.; Barreiro, Nadia Luisina; Barrio, Rafael Ángel; Ventura, Cecilia Ileana; Govezensky, Tzipe; et al.; Socio-economic pandemic modelling: case of Spain; Nature; Scientific Reports; 14; 1; 10-2023; 1-10
dc.identifier.issn
2045-2322
dc.identifier.uri
http://hdl.handle.net/11336/240764
dc.description.abstract
A global disaster, such as the recent Covid-19 pandemic, afects every aspect of our lives and there is a need to investigate these highly complex phenomena if one aims to diminish their impact in the health of the population, as well as their socio-economic stability. In this paper we present an attempt to understand the role of the governmental authorities and the response of the rest of the population facing such emergencies. We present a mathematical model that takes into account the epidemiological features of the pandemic and also the actions of people responding to it, focusing only on three aspects of the system, namely, the fear of catching this serious disease, the impact on the economic activities and the compliance of the people to the mitigating measures adopted by the authorities. We apply the model to the specifc case of Spain, since there are accurate data available about these three features. We focused on tourism as an example of the economic activity, since this sector of economy is one of the most likely to be afected by the restrictions imposed by the authorities, and because it represents an important part of Spanish economy. The results of numerical calculations agree with the empirical data in such a way that we can acquire a better insight of the diferent processes at play in such a complex situation, and also in other diferent circumstances.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Nature
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
PHYSICS OF COMPLEX SYSTEMS
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EPIDEMIOLOGICAL MODELLING
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DISEASE PROPAGATION
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COVID PANDEMIC IN SPAIN
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Otras Ciencias Físicas
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
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Otros Tópicos Biológicos
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Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Socio-economic pandemic modelling: case of Spain
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-07-22T13:11:04Z
dc.journal.volume
14
dc.journal.number
1
dc.journal.pagination
1-10
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Snellman, Jan E.. Aalto University; Finlandia
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Fil: Barreiro, Nadia Luisina. Ministerio de Defensa. Instituto de Investigaciones Científicas y Técnicas para la Defensa; Argentina
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Fil: Barrio, Rafael Ángel. Universidad Nacional Autónoma de México; México
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Fil: Ventura, Cecilia Ileana. Universidad Nacional de Río Negro; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigación y Aplicaciones No Nucleares. Gerencia de Física (Centro Atómico Bariloche); Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
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Fil: Govezensky, Tzipe. Universidad Nacional Autónoma de México; México
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Fil: Kaski, Kimmo K.. Aalto University; Finlandia
dc.description.fil
Fil: Korpi Lagg, Maarit J.. Stockholms Universitet; Suecia
dc.journal.title
Scientific Reports
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1038/s41598-023-44637-y
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