Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/343017
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampYang, Hyun Mo-
dc.typeArtigopt_BR
dc.titleBiological view of vaccination described by mathematical modellings: from rubella to dengue vaccinespt_BR
dc.contributor.authorYang, H.M.-
dc.contributor.authorFreitas, A.R.R.-
dc.subjectVacinaspt_BR
dc.subjectModelos matemáticospt_BR
dc.subject.otherlanguageVaccinespt_BR
dc.subject.otherlanguageMathematical modelspt_BR
dc.description.abstractThe only rubella vaccine available in North America is the RA27/3 strain (isolated from the kidney of a rubella-infected fetus and attenuated) licensed in 1979, which substituted HPV77/DE5 strain vaccine due to concerns about waning immunity. The first dengue vaccine (Dengvaxia CYD-TDV) was first registered in Mexico in December, 2015, which is a live recombinant tetravalent dengue vaccine. Rubella vaccine was applied since 1969, but tetravalent dengue vaccine is being used in large scale nowadays. In the past, based on unavailable information regarded to rubella vaccine, mathematical models were used to design vaccination schemes in order to avoid congenital rubella syndrome (CRS). Currently, knowing that vaccine does not result in CRS, rubella vaccination is modelled as usual childhood infection. This experience of updated biological knowledge that influenced mathematical modellings of rubella vaccination is taken into account to reflect about the tetravalent dengue vaccine. We also address a discussion about the security of vaccination strategies.pt_BR
dc.relation.ispartofMathematical biosciences and engineeringpt_BR
dc.relation.ispartofabbreviationMBEpt_BR
dc.publisher.citySpringfield, MOpt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherAmerican Institute of Mathematical Sciences (AIMS)pt_BR
dc.date.issued2019-
dc.date.monthofcirculationApr.pt_BR
dc.language.isoengpt_BR
dc.description.volume16pt_BR
dc.description.issuenumber5pt_BR
dc.description.firstpage3195pt_BR
dc.description.lastpage3214pt_BR
dc.rightsFechadopt_BR
dc.sourceScopuspt_BR
dc.identifier.issn1547-1063pt_BR
dc.identifier.eissn1551-0018pt_BR
dc.identifier.doi10.3934/mbe.2019159pt_BR
dc.identifier.urlhttps://www.aimspress.com/article/10.3934/mbe.2019159pt_BR
dc.date.available2020-06-09T18:14:50Z-
dc.date.accessioned2020-06-09T18:14:50Z-
dc.description.provenanceSubmitted by Bruna Maria Campos da Cunha (bcampos@unicamp.br) on 2020-06-09T18:14:50Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-09-03T11:56:07Z : No. of bitstreams: 1 2-s2.0-85064893858.pdf: 777542 bytes, checksum: 06202c4bf7250537b73af26538b7fd8c (MD5)en
dc.description.provenanceMade available in DSpace on 2020-06-09T18:14:50Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/343017-
dc.contributor.departmentDepartamento de Matemática Aplicadapt_BR
dc.contributor.unidadeInstituto de Matemática, Estatística e Computação Científicapt_BR
dc.subject.keywordAntibodies, Viralpt_BR
dc.subject.keywordDenguept_BR
dc.subject.keywordDengue vaccinespt_BR
dc.subject.keywordModels, Theoreticalpt_BR
dc.subject.keywordRubellapt_BR
dc.subject.keywordRubella vaccinept_BR
dc.identifier.source2-s2.0-85064893858pt_BR
dc.creator.orcidorcid.org/0000-0002-1711-363Xpt_BR
dc.type.formArtigo de pesquisapt_BR
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