Distribution of tuberculosis cases in the state of Paraná: an ecological study, Brazil, 2018-2021

OBJECTIVE: to analyze the distribution of tuberculosis cases in the state of Paraná, Brazil, between 2018 and 2021. METHODS: this was an ecological study using secondary data obtained from compulsory notifications; detection rates per 100,000 inhabitants were described according to health regions in...

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Detalles Bibliográficos
Autores principales: de Lima, Lucas Vinícius, Pavinati, Gabriel, Ohta, Andressa Aya, Gil, Nelly Lopes de Moraes, Moura, Débora Regina de Oliveira, Magnabosco, Gabriela Tavares
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Secretaria de Vigilância em Saúde e Ambiente - Ministério da Saúde do Brasil 2023
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283478/
https://www.ncbi.nlm.nih.gov/pubmed/37341230
http://dx.doi.org/10.1590/S2237-96222023000200010
Descripción
Sumario:OBJECTIVE: to analyze the distribution of tuberculosis cases in the state of Paraná, Brazil, between 2018 and 2021. METHODS: this was an ecological study using secondary data obtained from compulsory notifications; detection rates per 100,000 inhabitants were described according to health regions in the state; percentage changes between 2018-2019 and 2020-2021 were calculated. RESULTS: a total of 7,099 cases were registered. The highest rates were observed in the health regions of Paranaguá (52.4/100,000 in 2018-2019; 38.2/100,000 in 2020-2021) and Foz do Iguaçu (34.4/100,000 in 2018-2019; 20.5/100,000 in 2020-2021), and the lowest rates in Irati (6.3/100,000 in 2018-2019; 8.8/100,000 in 2020-2021) and Francisco Beltrão (8.5/100,000 in 2018-2019; 7.6/100,000 in 2020-2021); in 2020-2021, it could be seen a decrease in percentage changes in 18 health regions, while there was an increase in four of them, especially Foz do Iguaçu (-40.5%) and Cianorte (+53.6%). CONCLUSION: high rates were found in the coastal and triple border regions; and there was a decline in detection rates in the pandemic period.

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