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dc.contributor.authorSantos, Diego Viali dospt_BR
dc.contributor.authorSilva, Gustavo de Sousa ept_BR
dc.contributor.authorWeber, Eliseu Josept_BR
dc.contributor.authorHasenack, Heinrichpt_BR
dc.contributor.authorGroff, Fernando Henrique Sautterpt_BR
dc.contributor.authorTodeschini, Bernardopt_BR
dc.contributor.authorBorba, Mauro Riegertpt_BR
dc.contributor.authorMedeiros, Antonio Augusto Rosapt_BR
dc.contributor.authorLeotti, Vanessa Bielefeldtpt_BR
dc.contributor.authorCanal, Cláudio Wageckpt_BR
dc.contributor.authorCorbellini, Luis Gustavopt_BR
dc.date.accessioned2017-11-04T02:30:50Zpt_BR
dc.date.issued2017pt_BR
dc.identifier.issn1932-6203pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/170027pt_BR
dc.description.abstractFoot and mouth disease (FMD) is a highly infectious disease that affects cloven-hoofed livestock and wildlife. FMD has been a problem for decades, which has led to various measures to control, eradicate and prevent FMD by National Veterinary Services worldwide. Currently, the identification of areas that are at risk of FMD virus incursion and spread is a priority for FMD target surveillance after FMD is eradicated from a given country or region. In our study, a knowledge-driven spatial model was built to identify risk areas for FMD occurrence and to evaluate FMD surveillance performance in Rio Grande do Sul state, Brazil. For this purpose, multi-criteria decision analysis was used as a tool to seek multiple and conflicting criteria to determine a preferred course of action. Thirteen South American experts analyzed 18 variables associated with FMD introduction and dissemination pathways in Rio Grande do Sul. As a result, FMD higher risk areas were identified at international borders and in the central region of the state. The final model was expressed as a raster surface. The predictive ability of the model assessed by comparing, for each cell of the raster surface, the computed model risk scores with a binary variable representing the presence or absence of an FMD outbreak in that cell during the period 1985 to 2015. Current FMD surveillance performance was assessed, and recommendations were made to improve surveillance activities in critical areas.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofPLoS ONE. San Francisco. Vol. 12, no. 5 (May 2017), e0178464, 19 p.pt_BR
dc.rightsOpen Accessen
dc.subjectEstatística médicapt_BR
dc.subjectFebre aftosapt_BR
dc.subjectAnálise multicritériopt_BR
dc.titleIdentification of foot and mouth disease risk areas using a multi-criteria analysis approachpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001048054pt_BR
dc.type.originEstrangeiropt_BR


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