The Temporal Trends of Mortality Due to Tuberculosis in Brazil: Tracing the Coronavirus Disease 2019 (COVID-19) Pandemic’s Effect Through a Bayesian Approach and Unmasking Disparities

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dc.contributor.authorTavares, Reginaldo
dc.contributor.authorGomes, Dulce
dc.contributor.authorBerra, Thaís Zamboni
dc.contributor.authorAlves, Yan
dc.contributor.authorRamos, Antônio
dc.contributor.authorPopolin, Marcela
dc.contributor.authorAbade, André
dc.contributor.authorZini, Natália
dc.contributor.authorTártaro, Ariela
dc.contributor.authorAlves, Josilene
dc.contributor.authorCosta, Fernanda
dc.contributor.authorPelodan, Maria
dc.contributor.authorVigato, Beatriz
dc.contributor.authorPinheiro, Daniele
dc.contributor.authorPaiva, Juliana
dc.contributor.authorSouza, Clara
dc.contributor.authorArcêncio, Ricardo Alexandre
dc.contributor.editorPando, Rogelio Hernández
dc.date.accessioned2025-11-05T10:12:38Z
dc.date.available2025-11-05T10:12:38Z
dc.date.issued2025-05-16
dc.description.abstractAn ecological study of TB deaths recorded in the Mortality Information System (SIM) from 2012 to 2022 was conducted. Trends and percentage changes in the mortality were estimated. A Bayesian Structural Time Series model combined with an Autoregressive Integrated Moving Average model was used to assess the pandemic’s effect on TB.por
dc.identifier.authoremailreginaldobazon@usp.br
dc.identifier.authoremaildmog@uevora.pt
dc.identifier.authoremailthaiszamboni@live.com
dc.identifier.authoremailyan.alves@usp.br
dc.identifier.authoremailnd
dc.identifier.authoremailmarcela.popolin@mail.uft.edu.br
dc.identifier.authoremailnd
dc.identifier.authoremailnathalia_zini@hotmail.com
dc.identifier.authoremailariela.ft@usp.br
dc.identifier.authoremailnd
dc.identifier.authoremailfernandabruzadelli@gmail.com
dc.identifier.authoremailmpelodan@usp.br
dc.identifier.authoremailbeatrizfornazierovigato@usp.br
dc.identifier.authoremaildani.mpinheiro@usp.br
dc.identifier.authoremailjqrochapaiva@yahoo.com.br
dc.identifier.authoremailclarafsouza0211@gmail.com
dc.identifier.authoremailricardo@eerp.usp.br;
dc.identifier.citationTavares, R.B.V.; Gomes, D.; Berra, T.Z.; Alves, Y.M.; Ramos, A.C.V.; Popolin, M.A.P.; Abade, A.d.S.; Zini, N.; Tártaro, A.F.; Alves, J.D.; et al. The Temporal Trends of Mortality Due to Tuberculosis in Brazil: Tracing the Coronavirus Disease 2019 (COVID-19) Pandemic’s Effect Through a Bayesian Approach and Unmasking Disparities. Microorganisms 2025, 13, 1145. https:// doi.org/10.3390/microorganisms13051145por
dc.identifier.doihttps:// doi.org/10.3390/microorganisms13051145por
dc.identifier.scientificarea239por
dc.identifier.urihttps://www.mdpi.com/2076-2607/13/5/1145
dc.identifier.urihttp://hdl.handle.net/10174/39559
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherMicroorganismspor
dc.rightsopenAccesspor
dc.subjectTuberculosispor
dc.subjectCOVID-19por
dc.subjectTemporal Time Series Trendspor
dc.subjectBayesian Structural Time Seriespor
dc.titleThe Temporal Trends of Mortality Due to Tuberculosis in Brazil: Tracing the Coronavirus Disease 2019 (COVID-19) Pandemic’s Effect Through a Bayesian Approach and Unmasking Disparitiespor
dc.typearticlepor

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