Evidence map›Paper›PMID 41767605›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2026

Spatiotemporal trends in and challenges of addressing tuberculosis in Brazil before and after the COVID-19 pandemic, 2001-2023.

Daiane Alves da Silva, Rodrigo de Macedo Couto, Layana Costa Alves, João Vitor Perez de Souza, Kleydson Bonfim Andrade Alves, Patrícia Bartholomay, Ghabriela Boitrago, Núbia Cristina da Silva, Fernanda Dockhorn Costa, Gerson Fernando Pereira and 3 more

Abstract read
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Daiane Alves da SilvaUniversidade Estadual de Maringá Maringá, Paraná Brazil Universidade Estadual de Maringá, Maringá, Paraná, Brazil.ORCID https://orcid.org/0000-0002-2840-3798
Rodrigo de Macedo CoutoUniversidade Estadual de Maringá Maringá, Paraná Brazil Universidade Estadual de Maringá, Maringá, Paraná, Brazil.ORCID https://orcid.org/0000-0003-2598-5830
Layana Costa AlvesMinistério da Saúde Secretaria de Vigilância em Saúde Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS Brasília Brazil Ministério da Saúde, Secretaria de Vigilância em Saúde, Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS, Brasília, Brazil.ORCID https://orcid.org/0000-0003-3512-7872
João Vitor Perez de SouzaUniversidade Estadual de Maringá Maringá, Paraná Brazil Universidade Estadual de Maringá, Maringá, Paraná, Brazil.ORCID https://orcid.org/0000-0003-4863-0071
Kleydson Bonfim Andrade AlvesMinistério da Saúde Secretaria de Vigilância em Saúde Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS Brasília Brazil Ministério da Saúde, Secretaria de Vigilância em Saúde, Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS, Brasília, Brazil.ORCID https://orcid.org/0000-0002-0905-3358
Patrícia BartholomayMinistério da Saúde Secretaria de Vigilância em Saúde Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS Brasília Brazil Ministério da Saúde, Secretaria de Vigilância em Saúde, Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS, Brasília, Brazil.ORCID https://orcid.org/0000-0002-4881-0630
Ghabriela BoitragoUniversidade Federal de Brasília Brasília Brazil Universidade Federal de Brasília, Brasília, Brazil.ORCID https://orcid.org/0000-0002-3710-6437
Núbia Cristina da SilvaConsórcio Métodos Analíticos e Tecnologia para Saúde (MATH) Belo Horizonte Brazil Consórcio Métodos Analíticos e Tecnologia para Saúde (MATH), Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0003-4422-974X
Fernanda Dockhorn CostaMinistério da Saúde Secretaria de Vigilância em Saúde Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS Brasília Brazil Ministério da Saúde, Secretaria de Vigilância em Saúde, Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS, Brasília, Brazil.ORCID https://orcid.org/0000-0002-1762-9484
Gerson Fernando PereiraMinistério da Saúde Secretaria de Vigilância em Saúde Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS Brasília Brazil Ministério da Saúde, Secretaria de Vigilância em Saúde, Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias não Tuberculosas/DAET/SVS/MS, Brasília, Brazil.ORCID https://orcid.org/0000-0001-8886-1662
Catherine StatonDuke Global Health Institute Duke University Durham, NC USA Duke Global Health Institute, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0002-6468-2894
João Ricardo Nickenig VissociDuke Global Health Institute Duke University Durham, NC USA Duke Global Health Institute, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0001-7276-0402
Thiago Augusto Hernandes RochaDuke Global Health Institute Duke University Durham, NC USA Duke Global Health Institute, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0002-6262-3276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify spatiotemporal patterns and clusters of tuberculosis (TB) in Brazil between 2001 and 2023, assess the impact of the COVID-19 pandemic on TB trends, and provide recommendations for targeted interventions. Methods: This ecological study analyzed secondary data from Brazil's Notifiable Diseases Information System (known as SINAN), which covers all confirmed TB cases during the study period. Three main indicators were analyzed: TB incidence and two treatment outcomes - cure and loss to follow up. Spatiotemporal cluster analysis was conducted using the Emerging Hot Spot Analysis tool in ArcGIS Pro 2.8 (Esri, Redlands, CA, USA), based on the Getis-Ord Gi* statistic. Results: An average of 74 057 TB cases were reported annually. TB incidence declined until 2016 but increased afterward, peaking in 2023. Cure rates declined after 2016, especially following the COVID-19 pandemic, while the rates of loss to follow up increased. Hot spots for incidence and loss to follow up were concentrated in the North, Southeast, and Central-West regions. The South region showed cold spots for cure and loss to follow up. These spatial trends revealed persistent regional disparities in TB outcomes that are closely related to indicators associated with socioeconomic status and access to health care. Conclusions: TB continues to present critical public health challenges in Brazil, particularly since the COVID-19 pandemic. Spatiotemporal analysis revealed significant regional clusters of TB burden. Strengthening surveillance systems and improving early diagnosis and treatment adherence strategies, especially in high-burden regions, are essential to mitigate the post-pandemic resurgence of TB and to achieve the World Health Organization's goal of eliminating TB by 2035.

Indexed as

COVID-19 pandemicpublic healthspatio-temporal analysisTuberculosis

Identifiers

PMID41767605
PMCPMC12947295

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.