Disease Spreading through Complex Small World Networks

Autores
Benítez, H. E.; Cornes, Fernando Ezequiel; Dorso, Claudio Oscar; Frank, Guillermo Alberto
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The end of the COVID-19 pandemic allows an analysis in retrospect of the spread and early containment scenarios of the disease. Today we can weigh the diversity of results imposed by highly heterogeneous urban landscapes (both geographical and social). In this research, we address scenarios of one or more communities (neighborhoods) formed by small structures with strong connectivity among themselves (families). Special attention was paid to the early containment of the epidemic. After simulating many scenarios, it was observed that early isolation of the infected individuals is more efficient than the isolation of their entire family. But we also noted that the containment of the disease loses effectiveness if the clinical tests for its detection are reported late (from 1 to 4 days). On the other hand, the existence of neighborhoods (with high population density) complicates the disease containment strategies, since (a) the disease spreads faster due to the highly dense environment, and (b) these act as “hubs of contagion”, even if the disease itself is of low contagiousness.
Fil: Benítez, H. E.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Cornes, Fernando Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Dorso, Claudio Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Frank, Guillermo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires. Unidad de Investigación y Desarrollo de las Ingenierías; Argentina
Materia
COMPLEX NETWORKS
SMALL WORLD
COVID-19
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:11336/256961
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Disease Spreading through Complex Small World NetworksBenítez, H. E.Cornes, Fernando EzequielDorso, Claudio OscarFrank, Guillermo AlbertoCOMPLEX NETWORKSSMALL WORLDCOVID-19https://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The end of the COVID-19 pandemic allows an analysis in retrospect of the spread and early containment scenarios of the disease. Today we can weigh the diversity of results imposed by highly heterogeneous urban landscapes (both geographical and social). In this research, we address scenarios of one or more communities (neighborhoods) formed by small structures with strong connectivity among themselves (families). Special attention was paid to the early containment of the epidemic. After simulating many scenarios, it was observed that early isolation of the infected individuals is more efficient than the isolation of their entire family. But we also noted that the containment of the disease loses effectiveness if the clinical tests for its detection are reported late (from 1 to 4 days). On the other hand, the existence of neighborhoods (with high population density) complicates the disease containment strategies, since (a) the disease spreads faster due to the highly dense environment, and (b) these act as “hubs of contagion”, even if the disease itself is of low contagiousness.Fil: Benítez, H. E.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: Cornes, Fernando Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: Dorso, Claudio Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: Frank, Guillermo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires. Unidad de Investigación y Desarrollo de las Ingenierías; ArgentinaEuropean Society of Medicine2024-08info: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/11336/256961Benítez, H. E.; Cornes, Fernando Ezequiel; Dorso, Claudio Oscar; Frank, Guillermo Alberto; Disease Spreading through Complex Small World Networks; European Society of Medicine; Medical Research Archives; 12; 8; 8-2024; 1-152375-19162375-1924CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://esmed.org/MRA/mra/article/view/5706info:eu-repo/semantics/altIdentifier/doi/10.18103/mra.v12i8.5706info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:44:01Zoai:ri.conicet.gov.ar:11336/256961instacron: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 10:44:01.3CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Disease Spreading through Complex Small World Networks
title Disease Spreading through Complex Small World Networks
spellingShingle Disease Spreading through Complex Small World Networks
Benítez, H. E.
COMPLEX NETWORKS
SMALL WORLD
COVID-19
title_short Disease Spreading through Complex Small World Networks
title_full Disease Spreading through Complex Small World Networks
title_fullStr Disease Spreading through Complex Small World Networks
title_full_unstemmed Disease Spreading through Complex Small World Networks
title_sort Disease Spreading through Complex Small World Networks
dc.creator.none.fl_str_mv Benítez, H. E.
Cornes, Fernando Ezequiel
Dorso, Claudio Oscar
Frank, Guillermo Alberto
author Benítez, H. E.
author_facet Benítez, H. E.
Cornes, Fernando Ezequiel
Dorso, Claudio Oscar
Frank, Guillermo Alberto
author_role author
author2 Cornes, Fernando Ezequiel
Dorso, Claudio Oscar
Frank, Guillermo Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv COMPLEX NETWORKS
SMALL WORLD
COVID-19
topic COMPLEX NETWORKS
SMALL WORLD
COVID-19
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The end of the COVID-19 pandemic allows an analysis in retrospect of the spread and early containment scenarios of the disease. Today we can weigh the diversity of results imposed by highly heterogeneous urban landscapes (both geographical and social). In this research, we address scenarios of one or more communities (neighborhoods) formed by small structures with strong connectivity among themselves (families). Special attention was paid to the early containment of the epidemic. After simulating many scenarios, it was observed that early isolation of the infected individuals is more efficient than the isolation of their entire family. But we also noted that the containment of the disease loses effectiveness if the clinical tests for its detection are reported late (from 1 to 4 days). On the other hand, the existence of neighborhoods (with high population density) complicates the disease containment strategies, since (a) the disease spreads faster due to the highly dense environment, and (b) these act as “hubs of contagion”, even if the disease itself is of low contagiousness.
Fil: Benítez, H. E.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Cornes, Fernando Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Dorso, Claudio Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Frank, Guillermo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires. Unidad de Investigación y Desarrollo de las Ingenierías; Argentina
description The end of the COVID-19 pandemic allows an analysis in retrospect of the spread and early containment scenarios of the disease. Today we can weigh the diversity of results imposed by highly heterogeneous urban landscapes (both geographical and social). In this research, we address scenarios of one or more communities (neighborhoods) formed by small structures with strong connectivity among themselves (families). Special attention was paid to the early containment of the epidemic. After simulating many scenarios, it was observed that early isolation of the infected individuals is more efficient than the isolation of their entire family. But we also noted that the containment of the disease loses effectiveness if the clinical tests for its detection are reported late (from 1 to 4 days). On the other hand, the existence of neighborhoods (with high population density) complicates the disease containment strategies, since (a) the disease spreads faster due to the highly dense environment, and (b) these act as “hubs of contagion”, even if the disease itself is of low contagiousness.
publishDate 2024
dc.date.none.fl_str_mv 2024-08
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/11336/256961
Benítez, H. E.; Cornes, Fernando Ezequiel; Dorso, Claudio Oscar; Frank, Guillermo Alberto; Disease Spreading through Complex Small World Networks; European Society of Medicine; Medical Research Archives; 12; 8; 8-2024; 1-15
2375-1916
2375-1924
CONICET Digital
CONICET
url http://hdl.handle.net/11336/256961
identifier_str_mv Benítez, H. E.; Cornes, Fernando Ezequiel; Dorso, Claudio Oscar; Frank, Guillermo Alberto; Disease Spreading through Complex Small World Networks; European Society of Medicine; Medical Research Archives; 12; 8; 8-2024; 1-15
2375-1916
2375-1924
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://esmed.org/MRA/mra/article/view/5706
info:eu-repo/semantics/altIdentifier/doi/10.18103/mra.v12i8.5706
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 European Society of Medicine
publisher.none.fl_str_mv European Society of Medicine
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 13.070432

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