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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/59076
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dc.creatorPedro Amaralpt_BR
dc.creatorLucas Resende de Carvalhopt_BR
dc.creatorThiago Augusto Hernandes Rochapt_BR
dc.creatorNúbia Cristina da Silvapt_BR
dc.creatorJoão Ricardo Nickenig Vissocipt_BR
dc.date.accessioned2023-10-02T21:36:05Z-
dc.date.available2023-10-02T21:36:05Z-
dc.date.issued2019-
dc.citation.volume26pt_BR
dc.citation.issue2019pt_BR
dc.citation.spage1pt_BR
dc.citation.epage11pt_BR
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0222668pt_BR
dc.identifier.issn1932-6203pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/59076-
dc.description.resumoMicrocephaly and Zika Virus infection (ZIKV) were declared Public Health Emergencies of International Concern by the World Health Organization in 2016. Brazil was considered the epicenter of the outbreak. However, the occurrence of both ZIKV and microcephaly in Brazil was not evenly distributed across the country. To better understand this phenomenon, we investigate regional characteristics at the municipal level that can be associated with the incidence of microcephaly, our response variable, and its relationship with ZIKV and other predictors. All epidemiological data in this study was provided by the Ministry of Health official database (DATASUS). Microcephaly was only confirmed after birth and the diagnostic was made regardless of the mother’s ZIKV status. Using exploratory spatial data analysis and spatial autoregressive Tobit models, our results show that microcephaly incidence is significantly, at 95% confidence level, related not only to ZIKV, but also to access to primary care, population size, gross national product, mobility and environmental attributes of the municipalities. There is also a significant spatial autocorrelation of the dependent variable. The results indicate that municipalities that show a high incidence of microcephaly tend to be clustered in space and that incidence of microcephaly varies considerably across regions when correlated only with ZIKV, i.e. that ZIKV alone cannot explain the differences in microcephaly across regions and their correlation is mediated by regional attributes.pt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentFCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofPLOS ONE-
dc.rightsAcesso Abertopt_BR
dc.subjectMicrocephalypt_BR
dc.subjectZika Virus infectionpt_BR
dc.subject.otherZika Viruspt_BR
dc.subject.otherMicrocefaliapt_BR
dc.titleGeospatial modeling of microcephaly and zika virus spread patterns in Brazilpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0222668pt_BR
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