Using symbolic networks to analyse dynamical properties of disease outbreaks

Detalhes bibliográficos
Autor(a) principal: Herrera-Diestra, Jose L. [UNESP]
Data de Publicação: 2020
Outros Autores: Buldu, Javier M., Chavez, Mario, Martinez, Johann H. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1098/rspa.2019.0777
http://hdl.handle.net/11449/196854
Resumo: We introduce a new methodology, which is based on the construction of epidemic networks, to analyse the evolution of epidemic time series. First, we translate the time series into ordinal patterns containing information about local fluctuations in disease prevalence. Each pattern is associated with a node of a network, whose (directed) connections arise from consecutive appearances in the series. The analysis of the network structure and the role of each pattern allows them to be classified according to the enhancement of entropy/complexity along the series, giving a different point of view about the evolution of a given disease.
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spelling Using symbolic networks to analyse dynamical properties of disease outbreakscomplex networksordinal patternsentropytime seriesepidemicsWe introduce a new methodology, which is based on the construction of epidemic networks, to analyse the evolution of epidemic time series. First, we translate the time series into ordinal patterns containing information about local fluctuations in disease prevalence. Each pattern is associated with a node of a network, whose (directed) connections arise from consecutive appearances in the series. The analysis of the network structure and the role of each pattern allows them to be classified according to the enhancement of entropy/complexity along the series, giving a different point of view about the evolution of a given disease.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)MINECOUniv Estadual Paulista, Inst Fis Teor, ICTP South Amer Inst Fundamental Res, Sao Paulo, BrazilUniv Los Andes, CeSiMo, Fac Ingn, Merida, VenezuelaGrp Interdisciplinar Sistemas Complejos GISC, Madrid, SpainCtr Biomed Technol UPM, Lab Biol Networks, Madrid, SpainUniv Rey Juan Carlos, Complex Syst Grp, Mostoles, SpainHop La Pitie Salpetriere, CNRS, UMR7225, Paris, FranceUniv Los Andes, Dept Biomed Engn, Bogota, ColombiaUniv Estadual Paulista, Inst Fis Teor, ICTP South Amer Inst Fundamental Res, Sao Paulo, BrazilFAPESP: 2016/01343-7FAPESP: 2017/05770-0MINECO: FIS201784151-PRoyal SocUniversidade Estadual Paulista (Unesp)Univ Los AndesGrp Interdisciplinar Sistemas Complejos GISCCtr Biomed Technol UPMUniv Rey Juan CarlosHop La Pitie SalpetriereHerrera-Diestra, Jose L. [UNESP]Buldu, Javier M.Chavez, MarioMartinez, Johann H. [UNESP]2020-12-10T19:58:17Z2020-12-10T19:58:17Z2020-04-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18http://dx.doi.org/10.1098/rspa.2019.0777Proceedings Of The Royal Society A-mathematical Physical And Engineering Sciences. London: Royal Soc, v. 476, n. 2236, 18 p., 2020.1364-5021http://hdl.handle.net/11449/19685410.1098/rspa.2019.0777WOS:000530375100004Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings Of The Royal Society A-mathematical Physical And Engineering Sciencesinfo:eu-repo/semantics/openAccess2021-10-23T08:46:54Zoai:repositorio.unesp.br:11449/196854Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:07:15.759406Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Using symbolic networks to analyse dynamical properties of disease outbreaks
title Using symbolic networks to analyse dynamical properties of disease outbreaks
spellingShingle Using symbolic networks to analyse dynamical properties of disease outbreaks
Herrera-Diestra, Jose L. [UNESP]
complex networks
ordinal patterns
entropy
time series
epidemics
title_short Using symbolic networks to analyse dynamical properties of disease outbreaks
title_full Using symbolic networks to analyse dynamical properties of disease outbreaks
title_fullStr Using symbolic networks to analyse dynamical properties of disease outbreaks
title_full_unstemmed Using symbolic networks to analyse dynamical properties of disease outbreaks
title_sort Using symbolic networks to analyse dynamical properties of disease outbreaks
author Herrera-Diestra, Jose L. [UNESP]
author_facet Herrera-Diestra, Jose L. [UNESP]
Buldu, Javier M.
Chavez, Mario
Martinez, Johann H. [UNESP]
author_role author
author2 Buldu, Javier M.
Chavez, Mario
Martinez, Johann H. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Univ Los Andes
Grp Interdisciplinar Sistemas Complejos GISC
Ctr Biomed Technol UPM
Univ Rey Juan Carlos
Hop La Pitie Salpetriere
dc.contributor.author.fl_str_mv Herrera-Diestra, Jose L. [UNESP]
Buldu, Javier M.
Chavez, Mario
Martinez, Johann H. [UNESP]
dc.subject.por.fl_str_mv complex networks
ordinal patterns
entropy
time series
epidemics
topic complex networks
ordinal patterns
entropy
time series
epidemics
description We introduce a new methodology, which is based on the construction of epidemic networks, to analyse the evolution of epidemic time series. First, we translate the time series into ordinal patterns containing information about local fluctuations in disease prevalence. Each pattern is associated with a node of a network, whose (directed) connections arise from consecutive appearances in the series. The analysis of the network structure and the role of each pattern allows them to be classified according to the enhancement of entropy/complexity along the series, giving a different point of view about the evolution of a given disease.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-10T19:58:17Z
2020-12-10T19:58:17Z
2020-04-29
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1098/rspa.2019.0777
Proceedings Of The Royal Society A-mathematical Physical And Engineering Sciences. London: Royal Soc, v. 476, n. 2236, 18 p., 2020.
1364-5021
http://hdl.handle.net/11449/196854
10.1098/rspa.2019.0777
WOS:000530375100004
url http://dx.doi.org/10.1098/rspa.2019.0777
http://hdl.handle.net/11449/196854
identifier_str_mv Proceedings Of The Royal Society A-mathematical Physical And Engineering Sciences. London: Royal Soc, v. 476, n. 2236, 18 p., 2020.
1364-5021
10.1098/rspa.2019.0777
WOS:000530375100004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings Of The Royal Society A-mathematical Physical And Engineering Sciences
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 18
dc.publisher.none.fl_str_mv Royal Soc
publisher.none.fl_str_mv Royal Soc
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129393919262720

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