Controlling distant contacts to reduce disease spreading on disordered complex networks

Autores
Pérez, Ignacio Augusto; Trunfio, Paul A.; la Rocca, Cristian Ernesto; Braunstein, Lidia Adriana
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In real social networks, person-to-person interactions are known to be heterogeneous, which can affect the way a disease spreads through a population, reaches a tipping point in the fraction of infected individuals, and becomes an epidemic. This property, called disorder, is usually associated with contact times between individuals and can be modeled by a weighted network, where the weights are related to normalized contact times ω. In this paper, we study the SIR model for disease spreading when both close and distant types of interactions are present. We develop a mitigation strategy that reduces only the time duration of distant contacts, which are easier to alter in practice. Using branching theory, supported by simulations, we found that the effectiveness of the strategy increases when the density f1 of close contacts decreases. Moreover, we found a threshold f̃1=Tc∕β below which the strategy can bring the system from an epidemic to a non-epidemic phase, even when close contacts have the longest time durations.
Fil: Pérez, Ignacio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Trunfio, Paul A.. Boston University; Estados Unidos
Fil: la Rocca, Cristian Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados Unidos
Fil: Braunstein, Lidia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados Unidos
Materia
COMPLEX NETWORK
EPIDEMIC MODELING
PERCOLATION
SIR MODEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/150506
Acceder
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spelling Controlling distant contacts to reduce disease spreading on disordered complex networksPérez, Ignacio AugustoTrunfio, Paul A.la Rocca, Cristian ErnestoBraunstein, Lidia AdrianaCOMPLEX NETWORKEPIDEMIC MODELINGPERCOLATIONSIR MODELhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1In real social networks, person-to-person interactions are known to be heterogeneous, which can affect the way a disease spreads through a population, reaches a tipping point in the fraction of infected individuals, and becomes an epidemic. This property, called disorder, is usually associated with contact times between individuals and can be modeled by a weighted network, where the weights are related to normalized contact times ω. In this paper, we study the SIR model for disease spreading when both close and distant types of interactions are present. We develop a mitigation strategy that reduces only the time duration of distant contacts, which are easier to alter in practice. Using branching theory, supported by simulations, we found that the effectiveness of the strategy increases when the density f1 of close contacts decreases. Moreover, we found a threshold f̃1=Tc∕β below which the strategy can bring the system from an epidemic to a non-epidemic phase, even when close contacts have the longest time durations.Fil: Pérez, Ignacio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; ArgentinaFil: Trunfio, Paul A.. Boston University; Estados UnidosFil: la Rocca, Cristian Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados UnidosFil: Braunstein, Lidia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados UnidosElsevier Science2020-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/150506Pérez, Ignacio Augusto; Trunfio, Paul A.; la Rocca, Cristian Ernesto; Braunstein, Lidia Adriana; Controlling distant contacts to reduce disease spreading on disordered complex networks; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 545; 5-2020; 1-180378-4371CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0378437119320655info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2019.123709info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1908.06147info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:11:45Zoai:ri.conicet.gov.ar:11336/150506instacron: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:34982025-09-03 10:11:45.879CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Controlling distant contacts to reduce disease spreading on disordered complex networks
title Controlling distant contacts to reduce disease spreading on disordered complex networks
spellingShingle Controlling distant contacts to reduce disease spreading on disordered complex networks
Pérez, Ignacio Augusto
COMPLEX NETWORK
EPIDEMIC MODELING
PERCOLATION
SIR MODEL
title_short Controlling distant contacts to reduce disease spreading on disordered complex networks
title_full Controlling distant contacts to reduce disease spreading on disordered complex networks
title_fullStr Controlling distant contacts to reduce disease spreading on disordered complex networks
title_full_unstemmed Controlling distant contacts to reduce disease spreading on disordered complex networks
title_sort Controlling distant contacts to reduce disease spreading on disordered complex networks
dc.creator.none.fl_str_mv Pérez, Ignacio Augusto
Trunfio, Paul A.
la Rocca, Cristian Ernesto
Braunstein, Lidia Adriana
author Pérez, Ignacio Augusto
author_facet Pérez, Ignacio Augusto
Trunfio, Paul A.
la Rocca, Cristian Ernesto
Braunstein, Lidia Adriana
author_role author
author2 Trunfio, Paul A.
la Rocca, Cristian Ernesto
Braunstein, Lidia Adriana
author2_role author
author
author
dc.subject.none.fl_str_mv COMPLEX NETWORK
EPIDEMIC MODELING
PERCOLATION
SIR MODEL
topic COMPLEX NETWORK
EPIDEMIC MODELING
PERCOLATION
SIR MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In real social networks, person-to-person interactions are known to be heterogeneous, which can affect the way a disease spreads through a population, reaches a tipping point in the fraction of infected individuals, and becomes an epidemic. This property, called disorder, is usually associated with contact times between individuals and can be modeled by a weighted network, where the weights are related to normalized contact times ω. In this paper, we study the SIR model for disease spreading when both close and distant types of interactions are present. We develop a mitigation strategy that reduces only the time duration of distant contacts, which are easier to alter in practice. Using branching theory, supported by simulations, we found that the effectiveness of the strategy increases when the density f1 of close contacts decreases. Moreover, we found a threshold f̃1=Tc∕β below which the strategy can bring the system from an epidemic to a non-epidemic phase, even when close contacts have the longest time durations.
Fil: Pérez, Ignacio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Trunfio, Paul A.. Boston University; Estados Unidos
Fil: la Rocca, Cristian Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados Unidos
Fil: Braunstein, Lidia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados Unidos
description In real social networks, person-to-person interactions are known to be heterogeneous, which can affect the way a disease spreads through a population, reaches a tipping point in the fraction of infected individuals, and becomes an epidemic. This property, called disorder, is usually associated with contact times between individuals and can be modeled by a weighted network, where the weights are related to normalized contact times ω. In this paper, we study the SIR model for disease spreading when both close and distant types of interactions are present. We develop a mitigation strategy that reduces only the time duration of distant contacts, which are easier to alter in practice. Using branching theory, supported by simulations, we found that the effectiveness of the strategy increases when the density f1 of close contacts decreases. Moreover, we found a threshold f̃1=Tc∕β below which the strategy can bring the system from an epidemic to a non-epidemic phase, even when close contacts have the longest time durations.
publishDate 2020
dc.date.none.fl_str_mv 2020-05
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/11336/150506
Pérez, Ignacio Augusto; Trunfio, Paul A.; la Rocca, Cristian Ernesto; Braunstein, Lidia Adriana; Controlling distant contacts to reduce disease spreading on disordered complex networks; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 545; 5-2020; 1-18
0378-4371
CONICET Digital
CONICET
url http://hdl.handle.net/11336/150506
identifier_str_mv Pérez, Ignacio Augusto; Trunfio, Paul A.; la Rocca, Cristian Ernesto; Braunstein, Lidia Adriana; Controlling distant contacts to reduce disease spreading on disordered complex networks; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 545; 5-2020; 1-18
0378-4371
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.sciencedirect.com/science/article/abs/pii/S0378437119320655
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2019.123709
info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1908.06147
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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 13.13397

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