Uma investigação epidemiológica baseada em autômato celular probabilista assíncrono

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dc.contributor.advisorMonteiro, Luiz Henrique Alves
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/1820487447148268por
dc.contributor.authorChaves, Luciano Lucindo
dc.creator.Latteshttp://lattes.cnpq.br/0415840194964324por
dc.date.accessioned2018-09-17T11:33:05Z
dc.date.accessioned2020-05-28T18:08:02Z
dc.date.available2020-05-28T18:08:02Z
dc.date.issued2018-05-30
dc.description.abstractIn epidemiology, analytical and computational models are used to study the dynamics of the spreading of contagious diseases. The goal is to predict the temporal evolution of the number of sick individuals and to evaluate the effectiveness of control measures. There are several epidemiological models based on cellular automata, differential equations and difference equations. When cellular automata are employed, a synchronous update is usually performed, so that the states of all the individuals composing the lattice are updated simultaneously at each step of time. In this thesis, the dynamics of SIS (susceptible-infected-susceptible) epidemiological models based on asynchronous probabilistic cellular automata are investigated. Equivalent models written in terms of difference equations are proposed and analyzed in order to understand the numerical results of cellular automata. In these models, the population is divided into groups of different habits. The first group, more socially active, has its states updated in the usual way, at each step of time. The other groups, with less social activity, undergo periodic updating only after a determined number of time steps. Such models may be suitable for studying sexually transmitted diseases, such as gonorrhea, chlamydia, and syphilis, and for studying the propagation of hepatitis C. t is shown that groups of individuals with distinct social habits, as well as the spatial distribution of these groups, can cause oscillation in the number of infected individuals. Until then, for SIS models, studies had shown that possible causes of oscillation are migration, seasonality and delay.eng
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dc.identifier.citationCHAVES, Luciano Lucindo. Uma investigação epidemiológica baseada em autômato celular probabilista assíncrono. 2018. 101 f. Tese( Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24287
dc.keywordsdynamical systemseng
dc.keywordsepidemiologyeng
dc.keywordsprobabilistic cellular automatoneng
dc.keywordsselfsustained oscillationeng
dc.keywordsSIS modeleng
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Restritopor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectautômato celular propabilistapor
dc.subjectepidemiologiapor
dc.subjectmodelo SISpor
dc.subjectoscilação autossustentadapor
dc.subjectsistemas dinâmicospor
dc.subject.cnpqCNPQ::ENGENHARIASpor
dc.subject.cnpqCNPQ::CIENCIAS DA SAUDE::SAUDE COLETIVA::EPIDEMIOLOGIApor
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAOpor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/16984/LUCIANO%20LUCINDO%20CHAVES.pdf.jpg*
dc.titleUma investigação epidemiológica baseada em autômato celular probabilista assíncronopor
dc.typeTesepor
local.contributor.board1Omar, Nizam
local.contributor.board1Latteshttp://lattes.cnpq.br/2067336430076971por
local.contributor.board2Oliveira, Pedro Paulo Balbi de
local.contributor.board2Latteshttp://lattes.cnpq.br/9556738277476279por
local.contributor.board3Caldas, Iberê Luiz
local.contributor.board3Latteshttp://lattes.cnpq.br/2279792280361552por
local.contributor.board4Berlinck, José Guilherme de Souza Chaui Mattos
local.contributor.board4Latteshttp://lattes.cnpq.br/1485621700443009por
local.publisher.countryBrasilpor
local.publisher.departmentFaculdade de Computação e Informática (FCI)por
local.publisher.initialsUPMpor
local.publisher.programEngenharia Elétricapor
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