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

The COVID-19 pandemic disrupted tuberculosis (TB) control, increasing mortality and potentially worsening disparities. This study aimed to analyze the temporal trends of TB mortality in Brazil and to trace the COVID-19 pandemic’s effect using a Bayesian approach, focusing on nationwide data. An ecol...

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Bibliographic Details
Main Authors:	Reginaldo Bazon Vaz Tavares, Dulce Gomes, Thaís Zamboni Berra, Yan Mathias Alves, Antônio Carlos Vieira Ramos, Marcela Antunes Paschoal Popolin, André da Silva Abade, Nathalia Zini, Ariela Fehr Tártaro, Josilene Dália Alves, Fernanda Bruzadelli Paulino da Costa, Maria Eduarda Pagano Pelodan, Beatriz Fornaziero Vigato, Daniele de Moraes Pinheiro, Juliana Queiroz Rocha de Paiva, Clara Ferreira de Souza, Ricardo Alexandre Arcêncio
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Microorganisms
Subjects:	tuberculosis mortality disparities time series studies Bayesian analysis ecological studies
Online Access:	https://www.mdpi.com/2076-2607/13/5/1145
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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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