A fuzzy cellular automata for SIR compartmental models

Detalhes bibliográficos
Autor(a) principal: Da Costa, Walley
Data de Publicação: 2013
Outros Autores: Medeiros, Líliam [UNESP], Sandri, Sandra
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-319-03200-9_24
http://hdl.handle.net/11449/220070
Resumo: We propose a representation of the dynamics of epidemics through a compartmental SIR (Susceptible - Infected - Recovered) model, with the combined use of geo-referenced cellular automata and fuzzy systems. In this model, each cell does not correspond to an individual, but to groups of individuals inhabiting the physical space corresponding to the cell. The temporal evolution of the transmission consider is modeled by changes in the size of groups of individuals in each category (susceptible, infected and recovered). We applied our model on the spread of dengue in a region in Southeast Brazil. The application shows that the proposed model, using only a small set of simple fuzzy rules, is able to represent qualitatively the behavior of an epidemiological SIR mode, a rather complex problem. © Springer International Publishing 2013.
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spelling A fuzzy cellular automata for SIR compartmental modelsCellular automataDengueFuzzy systemsInfectious diseasesSIRWe propose a representation of the dynamics of epidemics through a compartmental SIR (Susceptible - Infected - Recovered) model, with the combined use of geo-referenced cellular automata and fuzzy systems. In this model, each cell does not correspond to an individual, but to groups of individuals inhabiting the physical space corresponding to the cell. The temporal evolution of the transmission consider is modeled by changes in the size of groups of individuals in each category (susceptible, infected and recovered). We applied our model on the spread of dengue in a region in Southeast Brazil. The application shows that the proposed model, using only a small set of simple fuzzy rules, is able to represent qualitatively the behavior of an epidemiological SIR mode, a rather complex problem. © Springer International Publishing 2013.Instituto Nacional de Pesquisas Espaciais - INPE, 12201-970, São José dos Campos, SPUniversidade Estadual Paulista - Unesp, 12245-000, São José dos Campos, SPUniversidade Estadual Paulista - Unesp, 12245-000, São José dos Campos, SPInstituto Nacional de Pesquisas Espaciais - INPEUniversidade Estadual Paulista (UNESP)Da Costa, WalleyMedeiros, Líliam [UNESP]Sandri, Sandra2022-04-28T18:59:24Z2022-04-28T18:59:24Z2013-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject234-247http://dx.doi.org/10.1007/978-3-319-03200-9_24Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8256 LNAI, p. 234-247.0302-97431611-3349http://hdl.handle.net/11449/22007010.1007/978-3-319-03200-9_242-s2.0-84893816816Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)info:eu-repo/semantics/openAccess2022-04-28T18:59:24Zoai:repositorio.unesp.br:11449/220070Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:20:20.575968Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A fuzzy cellular automata for SIR compartmental models
title A fuzzy cellular automata for SIR compartmental models
spellingShingle A fuzzy cellular automata for SIR compartmental models
Da Costa, Walley
Cellular automata
Dengue
Fuzzy systems
Infectious diseases
SIR
title_short A fuzzy cellular automata for SIR compartmental models
title_full A fuzzy cellular automata for SIR compartmental models
title_fullStr A fuzzy cellular automata for SIR compartmental models
title_full_unstemmed A fuzzy cellular automata for SIR compartmental models
title_sort A fuzzy cellular automata for SIR compartmental models
author Da Costa, Walley
author_facet Da Costa, Walley
Medeiros, Líliam [UNESP]
Sandri, Sandra
author_role author
author2 Medeiros, Líliam [UNESP]
Sandri, Sandra
author2_role author
author
dc.contributor.none.fl_str_mv Instituto Nacional de Pesquisas Espaciais - INPE
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Da Costa, Walley
Medeiros, Líliam [UNESP]
Sandri, Sandra
dc.subject.por.fl_str_mv Cellular automata
Dengue
Fuzzy systems
Infectious diseases
SIR
topic Cellular automata
Dengue
Fuzzy systems
Infectious diseases
SIR
description We propose a representation of the dynamics of epidemics through a compartmental SIR (Susceptible - Infected - Recovered) model, with the combined use of geo-referenced cellular automata and fuzzy systems. In this model, each cell does not correspond to an individual, but to groups of individuals inhabiting the physical space corresponding to the cell. The temporal evolution of the transmission consider is modeled by changes in the size of groups of individuals in each category (susceptible, infected and recovered). We applied our model on the spread of dengue in a region in Southeast Brazil. The application shows that the proposed model, using only a small set of simple fuzzy rules, is able to represent qualitatively the behavior of an epidemiological SIR mode, a rather complex problem. © Springer International Publishing 2013.
publishDate 2013
dc.date.none.fl_str_mv 2013-12-01
2022-04-28T18:59:24Z
2022-04-28T18:59:24Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-3-319-03200-9_24
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8256 LNAI, p. 234-247.
0302-9743
1611-3349
http://hdl.handle.net/11449/220070
10.1007/978-3-319-03200-9_24
2-s2.0-84893816816
url http://dx.doi.org/10.1007/978-3-319-03200-9_24
http://hdl.handle.net/11449/220070
identifier_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8256 LNAI, p. 234-247.
0302-9743
1611-3349
10.1007/978-3-319-03200-9_24
2-s2.0-84893816816
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 234-247
dc.source.none.fl_str_mv Scopus
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_ 1808128793548685312

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