Socio-economic pandemic modelling: case of Spain

Autores
Snellman, Jan E.; Barreiro, Nadia Luisina; Barrio, Rafael Ángel; Ventura, Cecilia Ileana; Govezensky, Tzipe; Kaski, Kimmo K.; Korpi Lagg, Maarit J.
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Snellman, Jan E.. Aalto University; Finlandia
Fil: Barreiro, Nadia Luisina. Ministerio de Defensa. Instituto de Investigaciones Científicas y Técnicas para la Defensa; Argentina
Fil: Barrio, Rafael Ángel. Universidad Nacional Autónoma de México; México
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
Fil: Govezensky, Tzipe. Universidad Nacional Autónoma de México; México
Fil: Kaski, Kimmo K.. Aalto University; Finlandia
Fil: Korpi Lagg, Maarit J.. Stockholms Universitet; Suecia
Materia
PHYSICS OF COMPLEX SYSTEMS
EPIDEMIOLOGICAL MODELLING
DISEASE PROPAGATION
COVID PANDEMIC IN SPAIN
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/240764
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Socio-economic pandemic modelling: case of SpainSnellman, Jan E.Barreiro, Nadia LuisinaBarrio, Rafael ÁngelVentura, Cecilia IleanaGovezensky, TzipeKaski, Kimmo K.Korpi Lagg, Maarit J.PHYSICS OF COMPLEX SYSTEMSEPIDEMIOLOGICAL MODELLINGDISEASE PROPAGATIONCOVID PANDEMIC IN SPAINhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1A 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.Fil: Snellman, Jan E.. Aalto University; FinlandiaFil: Barreiro, Nadia Luisina. Ministerio de Defensa. Instituto de Investigaciones Científicas y Técnicas para la Defensa; ArgentinaFil: Barrio, Rafael Ángel. Universidad Nacional Autónoma de México; MéxicoFil: 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; ArgentinaFil: Govezensky, Tzipe. Universidad Nacional Autónoma de México; MéxicoFil: Kaski, Kimmo K.. Aalto University; FinlandiaFil: Korpi Lagg, Maarit J.. Stockholms Universitet; SueciaNature2023-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/240764Snellman, 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; 1-102045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-023-44637-yinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T09:44:21Zoai:ri.conicet.gov.ar:11336/240764instacron: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:34982025-11-05 09:44:22.009CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Socio-economic pandemic modelling: case of Spain
title Socio-economic pandemic modelling: case of Spain
spellingShingle Socio-economic pandemic modelling: case of Spain
Snellman, Jan E.
PHYSICS OF COMPLEX SYSTEMS
EPIDEMIOLOGICAL MODELLING
DISEASE PROPAGATION
COVID PANDEMIC IN SPAIN
title_short Socio-economic pandemic modelling: case of Spain
title_full Socio-economic pandemic modelling: case of Spain
title_fullStr Socio-economic pandemic modelling: case of Spain
title_full_unstemmed Socio-economic pandemic modelling: case of Spain
title_sort Socio-economic pandemic modelling: case of Spain
dc.creator.none.fl_str_mv Snellman, Jan E.
Barreiro, Nadia Luisina
Barrio, Rafael Ángel
Ventura, Cecilia Ileana
Govezensky, Tzipe
Kaski, Kimmo K.
Korpi Lagg, Maarit J.
author Snellman, Jan E.
author_facet Snellman, Jan E.
Barreiro, Nadia Luisina
Barrio, Rafael Ángel
Ventura, Cecilia Ileana
Govezensky, Tzipe
Kaski, Kimmo K.
Korpi Lagg, Maarit J.
author_role author
author2 Barreiro, Nadia Luisina
Barrio, Rafael Ángel
Ventura, Cecilia Ileana
Govezensky, Tzipe
Kaski, Kimmo K.
Korpi Lagg, Maarit J.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv PHYSICS OF COMPLEX SYSTEMS
EPIDEMIOLOGICAL MODELLING
DISEASE PROPAGATION
COVID PANDEMIC IN SPAIN
topic PHYSICS OF COMPLEX SYSTEMS
EPIDEMIOLOGICAL MODELLING
DISEASE PROPAGATION
COVID PANDEMIC IN SPAIN
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Snellman, Jan E.. Aalto University; Finlandia
Fil: Barreiro, Nadia Luisina. Ministerio de Defensa. Instituto de Investigaciones Científicas y Técnicas para la Defensa; Argentina
Fil: Barrio, Rafael Ángel. Universidad Nacional Autónoma de México; México
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
Fil: Govezensky, Tzipe. Universidad Nacional Autónoma de México; México
Fil: Kaski, Kimmo K.. Aalto University; Finlandia
Fil: Korpi Lagg, Maarit J.. Stockholms Universitet; Suecia
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-10
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/11336/240764
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
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/240764
identifier_str_mv 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
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-023-44637-y
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature
publisher.none.fl_str_mv Nature
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
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score 13.087074

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