Disease and information spreading at different speeds in multiplex networks

Autores
Velasquez Rojas, Fatima Zoriana Eloisa; Ventura, Paulo Cesar; Connaughton, Colm; Moreno, Yamir; Rodrigues, Francisco A.; Vazquez, Federico
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Nowadays, one of the challenges we face when carrying out modeling of epidemic spreading is to develop methods to control disease transmission. In this article we study how the spreading of knowledge of a disease affects the propagation of that disease in a population of interacting individuals. For that, we analyze the interaction between two different processes on multiplex networks: the propagation of an epidemic using the susceptible-infected-susceptible dynamics and the dissemination of information about the disease?and its prevention methods?using the unaware-aware-unaware dynamics, so that informed individuals are less likely to be infected. Unlike previous related models where disease and information spread at the same time scale, we introduce here a parameter that controls the relative speed between the propagation of the two processes. We study the behavior of this model using a mean-field approach that gives results in good agreement with Monte Carlo simulations on homogeneous complex networks. We find that increasing the rate of information dissemination reduces the disease prevalence, as one may expect. However, increasing the speed of the information process as compared to that of the epidemic process has the counterintuitive effect of increasing the disease prevalence. This result opens an interesting discussion about the effects of information spreading on disease propagation.
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: Ventura, Paulo Cesar. Universidade de Sao Paulo; Brasil
Fil: Connaughton, Colm. University of Warwick; Reino Unido
Fil: Moreno, Yamir. Universidad de Zaragoza; España
Fil: Rodrigues, Francisco A.. Universidade de Sao Paulo; Brasil
Fil: Vazquez, Federico. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina
Materia
EPIDEMIC SPREADING
MULTIPLEX NETWORKS
INFORMATION SPREADING
MATHEMATICAL MODELING
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:11336/154315
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/154315
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network_name_str CONICET Digital (CONICET)
spelling Disease and information spreading at different speeds in multiplex networksVelasquez Rojas, Fatima Zoriana EloisaVentura, Paulo CesarConnaughton, ColmMoreno, YamirRodrigues, Francisco A.Vazquez, FedericoEPIDEMIC SPREADINGMULTIPLEX NETWORKSINFORMATION SPREADINGMATHEMATICAL MODELINGhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Nowadays, one of the challenges we face when carrying out modeling of epidemic spreading is to develop methods to control disease transmission. In this article we study how the spreading of knowledge of a disease affects the propagation of that disease in a population of interacting individuals. For that, we analyze the interaction between two different processes on multiplex networks: the propagation of an epidemic using the susceptible-infected-susceptible dynamics and the dissemination of information about the disease?and its prevention methods?using the unaware-aware-unaware dynamics, so that informed individuals are less likely to be infected. Unlike previous related models where disease and information spread at the same time scale, we introduce here a parameter that controls the relative speed between the propagation of the two processes. We study the behavior of this model using a mean-field approach that gives results in good agreement with Monte Carlo simulations on homogeneous complex networks. We find that increasing the rate of information dissemination reduces the disease prevalence, as one may expect. However, increasing the speed of the information process as compared to that of the epidemic process has the counterintuitive effect of increasing the disease prevalence. This result opens an interesting discussion about the effects of information spreading on disease propagation.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; ArgentinaFil: Ventura, Paulo Cesar. Universidade de Sao Paulo; BrasilFil: Connaughton, Colm. University of Warwick; Reino UnidoFil: Moreno, Yamir. Universidad de Zaragoza; EspañaFil: Rodrigues, Francisco A.. Universidade de Sao Paulo; BrasilFil: Vazquez, Federico. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; ArgentinaAmerican Physical Society2020-08-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/154315Velasquez Rojas, Fatima Zoriana Eloisa; Ventura, Paulo Cesar; Connaughton, Colm; Moreno, Yamir; Rodrigues, Francisco A.; et al.; Disease and information spreading at different speeds in multiplex networks; American Physical Society; Physical Review E; 102; 2; 24-8-2020; 1-102470-00452470-0053CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.aps.org/doi/10.1103/PhysRevE.102.022312info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.102.022312info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:30:38Zoai:ri.conicet.gov.ar:11336/154315instacron: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:34982025-09-29 10:30:38.692CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Disease and information spreading at different speeds in multiplex networks
title Disease and information spreading at different speeds in multiplex networks
spellingShingle Disease and information spreading at different speeds in multiplex networks
Velasquez Rojas, Fatima Zoriana Eloisa
EPIDEMIC SPREADING
MULTIPLEX NETWORKS
INFORMATION SPREADING
MATHEMATICAL MODELING
title_short Disease and information spreading at different speeds in multiplex networks
title_full Disease and information spreading at different speeds in multiplex networks
title_fullStr Disease and information spreading at different speeds in multiplex networks
title_full_unstemmed Disease and information spreading at different speeds in multiplex networks
title_sort Disease and information spreading at different speeds in multiplex networks
dc.creator.none.fl_str_mv Velasquez Rojas, Fatima Zoriana Eloisa
Ventura, Paulo Cesar
Connaughton, Colm
Moreno, Yamir
Rodrigues, Francisco A.
Vazquez, Federico
author Velasquez Rojas, Fatima Zoriana Eloisa
author_facet Velasquez Rojas, Fatima Zoriana Eloisa
Ventura, Paulo Cesar
Connaughton, Colm
Moreno, Yamir
Rodrigues, Francisco A.
Vazquez, Federico
author_role author
author2 Ventura, Paulo Cesar
Connaughton, Colm
Moreno, Yamir
Rodrigues, Francisco A.
Vazquez, Federico
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv EPIDEMIC SPREADING
MULTIPLEX NETWORKS
INFORMATION SPREADING
MATHEMATICAL MODELING
topic EPIDEMIC SPREADING
MULTIPLEX NETWORKS
INFORMATION SPREADING
MATHEMATICAL MODELING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Nowadays, one of the challenges we face when carrying out modeling of epidemic spreading is to develop methods to control disease transmission. In this article we study how the spreading of knowledge of a disease affects the propagation of that disease in a population of interacting individuals. For that, we analyze the interaction between two different processes on multiplex networks: the propagation of an epidemic using the susceptible-infected-susceptible dynamics and the dissemination of information about the disease?and its prevention methods?using the unaware-aware-unaware dynamics, so that informed individuals are less likely to be infected. Unlike previous related models where disease and information spread at the same time scale, we introduce here a parameter that controls the relative speed between the propagation of the two processes. We study the behavior of this model using a mean-field approach that gives results in good agreement with Monte Carlo simulations on homogeneous complex networks. We find that increasing the rate of information dissemination reduces the disease prevalence, as one may expect. However, increasing the speed of the information process as compared to that of the epidemic process has the counterintuitive effect of increasing the disease prevalence. This result opens an interesting discussion about the effects of information spreading on disease propagation.
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: Ventura, Paulo Cesar. Universidade de Sao Paulo; Brasil
Fil: Connaughton, Colm. University of Warwick; Reino Unido
Fil: Moreno, Yamir. Universidad de Zaragoza; España
Fil: Rodrigues, Francisco A.. Universidade de Sao Paulo; Brasil
Fil: Vazquez, Federico. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina
description Nowadays, one of the challenges we face when carrying out modeling of epidemic spreading is to develop methods to control disease transmission. In this article we study how the spreading of knowledge of a disease affects the propagation of that disease in a population of interacting individuals. For that, we analyze the interaction between two different processes on multiplex networks: the propagation of an epidemic using the susceptible-infected-susceptible dynamics and the dissemination of information about the disease?and its prevention methods?using the unaware-aware-unaware dynamics, so that informed individuals are less likely to be infected. Unlike previous related models where disease and information spread at the same time scale, we introduce here a parameter that controls the relative speed between the propagation of the two processes. We study the behavior of this model using a mean-field approach that gives results in good agreement with Monte Carlo simulations on homogeneous complex networks. We find that increasing the rate of information dissemination reduces the disease prevalence, as one may expect. However, increasing the speed of the information process as compared to that of the epidemic process has the counterintuitive effect of increasing the disease prevalence. This result opens an interesting discussion about the effects of information spreading on disease propagation.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-24
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/11336/154315
Velasquez Rojas, Fatima Zoriana Eloisa; Ventura, Paulo Cesar; Connaughton, Colm; Moreno, Yamir; Rodrigues, Francisco A.; et al.; Disease and information spreading at different speeds in multiplex networks; American Physical Society; Physical Review E; 102; 2; 24-8-2020; 1-10
2470-0045
2470-0053
CONICET Digital
CONICET
url http://hdl.handle.net/11336/154315
identifier_str_mv Velasquez Rojas, Fatima Zoriana Eloisa; Ventura, Paulo Cesar; Connaughton, Colm; Moreno, Yamir; Rodrigues, Francisco A.; et al.; Disease and information spreading at different speeds in multiplex networks; American Physical Society; Physical Review E; 102; 2; 24-8-2020; 1-10
2470-0045
2470-0053
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.102.022312
info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.102.022312
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
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_ 1844614315130224640
score 13.070432

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