A fuzzy cellular automata for SIR compartmental models

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dc.contributor.authorDa Costa, Walley
dc.contributor.authorMedeiros, Líliam [UNESP]
dc.contributor.authorSandri, Sandra
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais - INPE
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T18:59:24Z
dc.date.available2022-04-28T18:59:24Z
dc.date.issued2013-12-01
dc.description.abstractWe 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.en
dc.description.affiliationInstituto Nacional de Pesquisas Espaciais - INPE, 12201-970, São José dos Campos, SP
dc.description.affiliationUniversidade Estadual Paulista - Unesp, 12245-000, São José dos Campos, SP
dc.description.affiliationUnespUniversidade Estadual Paulista - Unesp, 12245-000, São José dos Campos, SP
dc.format.extent234-247
dc.identifierhttp://dx.doi.org/10.1007/978-3-319-03200-9_24
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8256 LNAI, p. 234-247.
dc.identifier.doi10.1007/978-3-319-03200-9_24
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.scopus2-s2.0-84893816816
dc.identifier.urihttp://hdl.handle.net/11449/220070
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.sourceScopus
dc.subjectCellular automata
dc.subjectDengue
dc.subjectFuzzy systems
dc.subjectInfectious diseases
dc.subjectSIR
dc.titleA fuzzy cellular automata for SIR compartmental modelsen
dc.typeTrabalho apresentado em evento

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