Evidence map›Paper›PMID 42518665›Full record

ArticleLancet regional health. Americas2026

Socioeconomic dynamics and tuberculosis mortality in São Paulo: a population-level analysis using spatial modeling.

Yan Mathias Alves, Reginaldo Bazon Vaz Tavares, Nathalia Zini, Tatiana Pestana Barbosa, Maria Eduarda Pagano Pelodan, Antônio Carlos Vieira Ramos, Tatiana Ferraz de Araújo Alecrim, Jaqueline Garcia de Almeida Ballestero, Bruno de Bezerril Andrade, Jason Edward Farley and 1 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 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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0citing papers in PubMed
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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

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5 · Who and what money

Authors and funding

11 authors.

Yan Mathias AlvesDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.
Reginaldo Bazon Vaz TavaresDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.
Nathalia ZiniDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.
Tatiana Pestana BarbosaDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.
Maria Eduarda Pagano PelodanDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.
Antônio Carlos Vieira RamosDepartment of Nursing, State University of Minas Gerais, Passos Câmpus, Passos, Minas Gerais, Brazil.
Tatiana Ferraz de Araújo AlecrimDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.
Jaqueline Garcia de Almeida BallesteroDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.
Bruno de Bezerril AndradeDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
Jason Edward FarleyJohns Hopkins University School of Nursing, Baltimore, MD, United States of America.
Ricardo Alexandre ArcêncioDepartment of Maternal-Infant and Public Health Nursing, Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculosis remains a major cause of preventable mortality in Brazil, marked by pronounced social and territorial inequalities. Evidence remains limited on how socioeconomic conditions and health system characteristics are associated with tuberculosis mortality across age groups in high-burden settings such as São Paulo state. This study aimed to examine the spatial and temporal associations of these factors with tuberculosis mortality across municipalities in the State of São Paulo, Brazil. Methods: We conducted a population-based ecological study in São Paulo, Brazil. All TB deaths reported to the Mortality Information System from 2020 to 2024 were included. Socioeconomic, demographic and health system factors were selected based on a conceptual framework. Variables associated with TB mortality were assessed using Generalized Additive Models for Location, Scale, and Shape, with spatial smoothing. Findings: The analysis included 38,700 municipality-month observations. In the final spatial GAMLSS model, proportions of household crowding (>2 residents/bedroom) and elderly population (>59 years) were associated with 3.25% and 5.92% increases in expected TB mortality for each one percentage-point increase, respectively. In contrast, each one percentage-point increase in primary health care coverage was associated with a 0.30% decrease in expected TB mortality. The fitted spatial effect indicated higher expected TB mortality along coastal and central regions, and lower expected mortality in the northwestern region. Interpretation: Tuberculosis mortality in São Paulo is shaped by persistent socioeconomic and territorial inequalities, with distinct patterns across age groups. These findings highlight the need for strategies that address structural vulnerability and strengthen primary health care to reduce avoidable tuberculosis-related deaths. Funding: This work was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil and São Paulo State Research Foundation (FAPESP).

Indexed as

Primary healthcareSocial determinants of healthSpatial-temporal modelingTuberculosis mortality

Identifiers

PMID42518665
PMCPMC13382474

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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.