Evidence map›Paper›PMID 35077447›Full record

ArticlePloS one

Time trend, social vulnerability, and identification of risk areas for tuberculosis in Brazil: An ecological study.

João Paulo Silva de Paiva, Mônica Avelar Figueiredo Mafra Magalhães, Thiago Cavalcanti Leal, Leonardo Feitosa da Silva, Lucas Gomes da Silva, Rodrigo Feliciano do Carmo, Carlos Dornels Freire de Souza

Open access · goldAbstract read
In one paragraph

Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% of its field
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  16. Temporal trends in incidence and mortality from pulmonary tuberculosis: time series study, Sul da Bahia, 2010-2023.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
    Article
  17. Article
  18. A Profile of Drug-Resistant Mutations inIndian journal of microbiology · 2024
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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

7 authors at 3 institutions in 1 country.

João Paulo Silva de PaivaDepartment of Medicine, Federal University of Alagoas, Arapiraca, AL, Brazil.
Mônica Avelar Figueiredo Mafra MagalhãesHealth Information Laboratory, GIS Laboratory, Institute of Scientific and Technological Information and Communication in Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.
Thiago Cavalcanti LealDepartment of Medicine, Federal University of Alagoas, Arapiraca, AL, Brazil.
Leonardo Feitosa da SilvaDepartment of Medicine, Federal University of Alagoas, Arapiraca, AL, Brazil.
Lucas Gomes da SilvaDepartment of Medicine, Federal University of Alagoas, Arapiraca, AL, Brazil.
Rodrigo Feliciano do CarmoPostgraduate Program in Health and Biological Sciences, Federal University of Vale do São Francisco (UNIVASF), Petrolina, PE, Brazil.ORCID https://orcid.org/0000-0001-9601-6995
Carlos Dornels Freire de SouzaDepartment of Medicine, Federal University of Alagoas, Arapiraca, AL, Brazil.ORCID https://orcid.org/0000-0001-7995-1893
Universidade Federal de Alagoas · BRFundação Oswaldo Cruz · BRUniversidade Federal do Vale do São Francisco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTuberculosis is one of the ten leading causes of death and the leading infectious cause worldwide. The disease represents a challenge to health systems around the world. In 2018, it is estimated that 10 million people were affected by tuberculosis, and approximately 1.5 million people died due to the disease worldwide, including 251,000 patients coinfected with HIV. In Brazil, the disease caused 4,490 deaths, with rate of 2.2 deaths per 100,000 inhabitants. The objective of this study was to analyze the time behavior, spatial, spatial-temporal distribution, and the effects of social vulnerability on the incidence of TB in Brazil during the period from 2001 to 2017. MATERIALS AND

methodsA spatial-temporal ecological study was conducted, including all new cases of tuberculosis registered in Brazil during the period from 2001 to 2017. The following variables were analyzed: incidence rate of tuberculosis, the Social Vulnerability Index, its subindices, its 16 indicators, and an additional 14 variables available on the Atlas of Social Vulnerability. The statistical treatment of the data consisted of the following three stages: a) time trend analysis with a joinpoint regression model; b) spatial analysis and identification of risk areas based on smoothing of the incidence rate by local empirical Bayesian model, application of global and local Moran statistics, and, finally, spatial-temporal scan statistics; and c) analysis of association between the incidence rate and the indicators of social vulnerability.

resultsBrazil reduced the incidence of tuberculosis from 42.8 per 100,000 to 35.2 per 100,000 between 2001 and 2017. Only the state of Minas Gerais showed an increasing trend, whereas nine other states showed a stationary trend. A total of 326 Brazilian municipalities were classified as high priority, and 22 high-risk spatial-temporal clusters were identified. The overall Social Vulnerability Index and the subindices of Human Capital and Income and Work were associated with the incidence of tuberculosis. It was also observed that the incidence rates were greater in municipalities with greater social vulnerability.

conclusionsThis study identified clusters with high risk of TB in Brazil. A significant association was observed between the incidence rate of TB and the indices of social vulnerability.

Indexed as

Bayes TheoremBrazilComorbidityHIV InfectionsHumansIncidenceMortalityRegression AnalysisSocial VulnerabilitySpatio-Temporal AnalysisTuberculosis

Identifiers

PMID35077447
PMCPMC8789117
OpenAlexW4226295834

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.