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dc.contributor.authorFRONZA, C. F.pt_BR
dc.contributor.authorANSELMO, J.pt_BR
dc.contributor.authorMARQUES, J. L. B.pt_BR
dc.contributor.authorPINTARELLI, G. B.pt_BR
dc.contributor.authorCASTRO, A. dept_BR
dc.date.accessioned2014-07-11T11:11:11Zpt_BR
dc.date.available2014-07-11T11:11:11Zpt_BR
dc.date.created2014-07-11pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationInternational Journal of Engineering Research and Applications, Delhi, v. 4, n. 6, p. 233-238, June 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/990390pt_BR
dc.descriptionIn this paper we present an extension of an automata approach proposed by S. Blower (1998) to describe the tuberculosis progression in a bi-dimensional space. In our extended model, the vaccination was included as an inhibitory variable in order to study its influence on the behavior of the tuberculosis spread. Our simulations showed that the earlier the vaccine is administered in the population, the lower the number of infected individuals, as expected for an in vivo system. However, our results also indicated that although the usual vaccination processes help reducing the strength of infection, the disease is not extinct, remaining the endemic state at low levels. These results strongly suggest that further actions are needed to increase the effectiveness of immunizations.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectCellular automatapt_BR
dc.titleA Blower-like approach to predict the effectiveness of vaccines in a TB dynamic.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2014-07-23T11:11:11Zpt_BR
dc.subject.thesagroTuberculosept_BR
dc.subject.thesagroSimulaçãopt_BR
dc.subject.nalthesaurusTuberculosispt_BR
dc.subject.nalthesaurusComputer simulationpt_BR
riaa.ainfo.id990390pt_BR
riaa.ainfo.lastupdate2014-07-23pt_BR
dc.contributor.institutionCARLOS FREDERICO FRONZA, UFSC; JANIO ANSELMO, UFSC; JEFFERSON LUIZ BRUM MARQUES, UFSC; GUILHERME BRASIL PINTARELLI, UFSC; ALEXANDRE DE CASTRO, CNPTIA.pt_BR
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