Evidence map›Paper›PMID 41430721›Full record

ArticleInfectious diseases of poverty2025

Projecting tuberculosis control progress in metropolitan and non-metropolitan areas of Brazil, 2001-2035: a Bayesian age-period-cohort analysis.

José Mário Nunes da Silva, Fredi Alexander Diaz-Quijano, Mauro Niskier Sanchez, Walter Massa Ramalho

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Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

José Mário Nunes da SilvaCenter for Tropical Medicine, School of Medicine, University of Brasília, Brasília, DF, Brazil. zemariu@hotmail.com.ORCID http://orcid.org/0000-0002-6674-0939
Fredi Alexander Diaz-QuijanoDepartament of Epidemiology - Laboratório de Inferência Causal em Epidemiologia (LINCE-USP), School of Public Health, University of São Paulo, São Paulo, SP, Brazil.
Mauro Niskier SanchezCenter for Tropical Medicine, School of Medicine, University of Brasília, Brasília, DF, Brazil.
Walter Massa RamalhoCenter for Tropical Medicine, School of Medicine, University of Brasília, Brasília, DF, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 444969/2023-3
6 · The paper itself

Abstract

backgroundDespite advancements in tuberculosis (TB) control policies in Brazil, the disease remains a significant public health concern. This study aimed to analyze long-term trends and projections of pulmonary tuberculosis (PTB) incidence rates in metropolitan and non-metropolitan areas of Brazil from 2001 to 2035, as well as to quantify the contributions of demographic and epidemiological changes to these patterns.

methodsThis ecological study used national PTB case notification data reported to Brazil's Notifiable Diseases Information System from 2001 to 2020. Joinpoint regression was applied to identify changes in temporal trends. Age-period-cohort models were employed to examine the effects of age, period, and birth cohort on disease risk. A decomposition analysis was then conducted to assess the contributions of population aging, demographic growth, and epidemiological changes. Finally, Bayesian age-period-cohort models were used to project the TB burden through 2035, stratified by sex and area.

resultsBetween 2001 and 2020, PTB incidence declined by an average of - 2.67% (95% CI - 3.43, - 2.08) per year in metropolitan areas and - 2.54% (95% CI - 2.92, - 2.16) in non-metropolitan areas of Brazil. However, decomposition analysis showed that the absolute number of PTB cases in metropolitan areas increased, primarily driven by population growth (+ 21,610 cases in men; + 10,545 in women), with a smaller contribution from population aging (+ 2649 and + 521 cases, respectively). In non-metropolitan areas, reductions were mainly explained by epidemiological improvements (- 8314 cases in men; - 6663 in women) and population decline (- 4972 and - 2380 cases, respectively), outweighing the effects of aging. Looking ahead, projections indicate that PTB incidence will rise in metropolitan areas, from 52.6 in 2015 to 62.4 [95% credible interval (CrI): 37.1-87.8] per 100,000 by 2035, while stabilizing at relatively high levels in non-metropolitan areas, increasing from 28.4 to 33.8 per 100,000 (95% CrI: 19.3-48.3) among men.

conclusionMetropolitan areas are projected to experience substantial increases in PTB incidence, while non-metropolitan regions are expected to stabilize at persistently high levels, particularly among men. The findings indicate that current TB control efforts in Brazil need to be strengthened for the country to meet the 2035 targets, especially in metropolitan areas.

Indexed as

Tuberculosis, PulmonaryAdolescentAdultAgedAged, 80 and overBayes TheoremBrazilChildChild, PreschoolCitiesCohort StudiesFemaleHumansIncidenceInfantInfant, NewbornBayesian age-period-cohortIncidenceProjectionsPulmonary tuberculosisTrendUrban population

Identifiers

PMID41430721
PMCPMC12720469

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.