Epidemic spreading with awareness and different timescales in multiplex networks

Autores
Silva, Paulo Cesar Ventura da; Velasquez Rojas, Fatima Zoriana Eloisa; Connaughton, Colm; Vazquez, Federico; Moreno, Yamir; Rodrigues, Francisco A.
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
One of the major issues in theoretical modeling of epidemic spreading is the development of methods to control the transmission of an infectious agent. Human behavior plays a fundamental role in the spreading dynamics and can be used to stop a disease from spreading or to reduce its burden, as individuals aware of the presence of a disease can take measures to reduce their exposure to contagion. In this paper, we propose a mathematical model for the spread of diseases with awareness in complex networks. Unlike previous models, the information is propagated following a generalized Maki-Thompson rumor model. Flexibility on the timescale between information and disease spreading is also included. We verify that the velocity characterizing the diffusion of information awareness greatly influences the disease prevalence. We also show that a reduction in the fraction of unaware individuals does not always imply a decrease of the prevalence, as the relative timescale between disease and awareness spreading plays a crucial role in the systems’ dynamics. This result is shown to be independent of the network topology. We finally calculate the epidemic threshold of our model, and show that it does not depend on the relative timescale. Our results provide a new view on how information influence disease spreading and can be used for the development of more efficient methods for disease control.
Fil: Silva, Paulo Cesar Ventura da. Universidade de Sao Paulo; Brasil
Fil: Velasquez Rojas, Fatima Zoriana Eloisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Fil: Connaughton, Colm. University of Warwick; Reino Unido
Fil: Vazquez, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina
Fil: Moreno, Yamir. Universidad de Zaragoza; España. Institute for Scientific Interchange; Italia
Fil: Rodrigues, Francisco A.. Universidade de Sao Paulo; Brasil. University of Warwick; Reino Unido
Materia
Epidemic Spreading
Dynamics of networks
Multiplex networks
Social networks
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:11336/121470
Acceder
id CONICETDig_aa4e4300f5129d0fa3fcf2257b299be3
oai_identifier_str oai:ri.conicet.gov.ar:11336/121470
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Epidemic spreading with awareness and different timescales in multiplex networksSilva, Paulo Cesar Ventura daVelasquez Rojas, Fatima Zoriana EloisaConnaughton, ColmVazquez, FedericoMoreno, YamirRodrigues, Francisco A.Epidemic SpreadingDynamics of networksMultiplex networksSocial networkshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1One of the major issues in theoretical modeling of epidemic spreading is the development of methods to control the transmission of an infectious agent. Human behavior plays a fundamental role in the spreading dynamics and can be used to stop a disease from spreading or to reduce its burden, as individuals aware of the presence of a disease can take measures to reduce their exposure to contagion. In this paper, we propose a mathematical model for the spread of diseases with awareness in complex networks. Unlike previous models, the information is propagated following a generalized Maki-Thompson rumor model. Flexibility on the timescale between information and disease spreading is also included. We verify that the velocity characterizing the diffusion of information awareness greatly influences the disease prevalence. We also show that a reduction in the fraction of unaware individuals does not always imply a decrease of the prevalence, as the relative timescale between disease and awareness spreading plays a crucial role in the systems’ dynamics. This result is shown to be independent of the network topology. We finally calculate the epidemic threshold of our model, and show that it does not depend on the relative timescale. Our results provide a new view on how information influence disease spreading and can be used for the development of more efficient methods for disease control.Fil: Silva, Paulo Cesar Ventura da. Universidade de Sao Paulo; BrasilFil: Velasquez Rojas, Fatima Zoriana Eloisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; ArgentinaFil: Connaughton, Colm. University of Warwick; Reino UnidoFil: Vazquez, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; ArgentinaFil: Moreno, Yamir. Universidad de Zaragoza; España. Institute for Scientific Interchange; ItaliaFil: Rodrigues, Francisco A.. Universidade de Sao Paulo; Brasil. University of Warwick; Reino UnidoAmerican Physical Society2019-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/121470Silva, Paulo Cesar Ventura da; Velasquez Rojas, Fatima Zoriana Eloisa; Connaughton, Colm; Vazquez, Federico; Moreno, Yamir; et al.; Epidemic spreading with awareness and different timescales in multiplex networks; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 100; 032313; 9-2019; 1-122470-00532470-0045CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.aps.org/doi/10.1103/PhysRevE.100.032313info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.100.032313info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1812.01386info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:59:35Zoai:ri.conicet.gov.ar:11336/121470instacron: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 09:59:35.583CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Epidemic spreading with awareness and different timescales in multiplex networks
title Epidemic spreading with awareness and different timescales in multiplex networks
spellingShingle Epidemic spreading with awareness and different timescales in multiplex networks
Silva, Paulo Cesar Ventura da
Epidemic Spreading
Dynamics of networks
Multiplex networks
Social networks
title_short Epidemic spreading with awareness and different timescales in multiplex networks
title_full Epidemic spreading with awareness and different timescales in multiplex networks
title_fullStr Epidemic spreading with awareness and different timescales in multiplex networks
title_full_unstemmed Epidemic spreading with awareness and different timescales in multiplex networks
title_sort Epidemic spreading with awareness and different timescales in multiplex networks
dc.creator.none.fl_str_mv Silva, Paulo Cesar Ventura da
Velasquez Rojas, Fatima Zoriana Eloisa
Connaughton, Colm
Vazquez, Federico
Moreno, Yamir
Rodrigues, Francisco A.
author Silva, Paulo Cesar Ventura da
author_facet Silva, Paulo Cesar Ventura da
Velasquez Rojas, Fatima Zoriana Eloisa
Connaughton, Colm
Vazquez, Federico
Moreno, Yamir
Rodrigues, Francisco A.
author_role author
author2 Velasquez Rojas, Fatima Zoriana Eloisa
Connaughton, Colm
Vazquez, Federico
Moreno, Yamir
Rodrigues, Francisco A.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Epidemic Spreading
Dynamics of networks
Multiplex networks
Social networks
topic Epidemic Spreading
Dynamics of networks
Multiplex networks
Social networks
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv One of the major issues in theoretical modeling of epidemic spreading is the development of methods to control the transmission of an infectious agent. Human behavior plays a fundamental role in the spreading dynamics and can be used to stop a disease from spreading or to reduce its burden, as individuals aware of the presence of a disease can take measures to reduce their exposure to contagion. In this paper, we propose a mathematical model for the spread of diseases with awareness in complex networks. Unlike previous models, the information is propagated following a generalized Maki-Thompson rumor model. Flexibility on the timescale between information and disease spreading is also included. We verify that the velocity characterizing the diffusion of information awareness greatly influences the disease prevalence. We also show that a reduction in the fraction of unaware individuals does not always imply a decrease of the prevalence, as the relative timescale between disease and awareness spreading plays a crucial role in the systems’ dynamics. This result is shown to be independent of the network topology. We finally calculate the epidemic threshold of our model, and show that it does not depend on the relative timescale. Our results provide a new view on how information influence disease spreading and can be used for the development of more efficient methods for disease control.
Fil: Silva, Paulo Cesar Ventura da. Universidade de Sao Paulo; Brasil
Fil: Velasquez Rojas, Fatima Zoriana Eloisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Fil: Connaughton, Colm. University of Warwick; Reino Unido
Fil: Vazquez, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina
Fil: Moreno, Yamir. Universidad de Zaragoza; España. Institute for Scientific Interchange; Italia
Fil: Rodrigues, Francisco A.. Universidade de Sao Paulo; Brasil. University of Warwick; Reino Unido
description One of the major issues in theoretical modeling of epidemic spreading is the development of methods to control the transmission of an infectious agent. Human behavior plays a fundamental role in the spreading dynamics and can be used to stop a disease from spreading or to reduce its burden, as individuals aware of the presence of a disease can take measures to reduce their exposure to contagion. In this paper, we propose a mathematical model for the spread of diseases with awareness in complex networks. Unlike previous models, the information is propagated following a generalized Maki-Thompson rumor model. Flexibility on the timescale between information and disease spreading is also included. We verify that the velocity characterizing the diffusion of information awareness greatly influences the disease prevalence. We also show that a reduction in the fraction of unaware individuals does not always imply a decrease of the prevalence, as the relative timescale between disease and awareness spreading plays a crucial role in the systems’ dynamics. This result is shown to be independent of the network topology. We finally calculate the epidemic threshold of our model, and show that it does not depend on the relative timescale. Our results provide a new view on how information influence disease spreading and can be used for the development of more efficient methods for disease control.
publishDate 2019
dc.date.none.fl_str_mv 2019-09
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/11336/121470
Silva, Paulo Cesar Ventura da; Velasquez Rojas, Fatima Zoriana Eloisa; Connaughton, Colm; Vazquez, Federico; Moreno, Yamir; et al.; Epidemic spreading with awareness and different timescales in multiplex networks; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 100; 032313; 9-2019; 1-12
2470-0053
2470-0045
CONICET Digital
CONICET
url http://hdl.handle.net/11336/121470
identifier_str_mv Silva, Paulo Cesar Ventura da; Velasquez Rojas, Fatima Zoriana Eloisa; Connaughton, Colm; Vazquez, Federico; Moreno, Yamir; et al.; Epidemic spreading with awareness and different timescales in multiplex networks; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 100; 032313; 9-2019; 1-12
2470-0053
2470-0045
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://link.aps.org/doi/10.1103/PhysRevE.100.032313
info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.100.032313
info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1812.01386
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 American Physical Society
publisher.none.fl_str_mv American Physical Society
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_ 1842269589115764736
score 13.13397

Publicaciones similares