Evidence map›Paper›PMID 38656045›Full record

ArticleRevista de saude publica2024

Clusters of heterogeneity of tuberculosis-HIV coinfection in Brazil: a geospatial study.

Lucas Vinícius de Lima, Gabriel Pavinati, Pedro Augusto Bossonario, Aline Aparecida Monroe, Daniele Maria Pelissari, Kleydson Bonfim Andrade Alves, Gabriela Tavares Magnabosco

Open access · goldAbstract read
In one paragraph

Article in Revista de saude publica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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 4 institutions in 1 country.

Lucas Vinícius de LimaUniversidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brazil.ORCID http://orcid.org/0000-0002-9582-9641
Gabriel PavinatiUniversidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brazil.ORCID http://orcid.org/0000-0002-0289-8219
Pedro Augusto BossonarioUniversidade de São Paulo. Programa de Pós-Graduação Enfermagem em Saúde Pública. Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0001-6287-174X
Aline Aparecida MonroeUniversidade de São Paulo. Programa de Pós-Graduação Enfermagem em Saúde Pública. Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0003-4073-2735
Daniele Maria PelissariBrazilian Ministry of Health. Departamento de HIV/aids, Tuberculose, Hepatites Virais e Infecções Sexualmente Transmissíveis. Brasília, DF, Brazil.ORCID http://orcid.org/0000-0002-0760-1875
Kleydson Bonfim Andrade AlvesPan American Health Organization. Department of Communicable Diseases and Environmental Determinants of Health. Brasília, DF, Brazil.ORCID http://orcid.org/0000-0002-0905-3358
Gabriela Tavares MagnaboscoUniversidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brazil.ORCID http://orcid.org/0000-0003-3318-6748
Universidade Estadual de Maringá · BRUniversidade de Ribeirão Preto · BRDepartment of STD, AIDS and Viral Hepatitis · BRPan American Health Organization (Brasil) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the geospatialization of tuberculosis-HIV coinfection in Brazil, from 2010 to 2021, and the correlation with socioeconomic, housing, and health indicators.

methodsAn ecological study of Brazilian municipalities and states, with data from HIV and tuberculosis information systems, previously reported by the Ministry of Health. The crude and smoothed coefficients were calculated by the local empirical Bayesian method of incidence of coinfection per 100,000 inhabitants in the population aged between 18 and 59 years. Univariate (identification of clusters) and bivariate (correlation with 20 indicators) Moran's indices were used.

resultsA total of 122,223 cases of coinfection were registered in Brazil from 2010 to 2021, with a mean coefficient of 8.30/100,000. The South (11.44/100,000) and North (9.93/100,000) regions concentrated the highest burden of infections. The coefficients dropped in Brazil, in all regions, in the years of covid-19 (2020 and 2021). The highest coefficients were observed in the municipalities of the states of Rio Grande do Sul, Mato Grosso do Sul, and Amazonas, with high-high clusters in the capitals, border regions, coast of the country. The municipalities belonging to the states of Minas Gerais, Bahia, Paraná, and Piauí showed low-low clusters. There was a direct correlation with human development indices and aids rates, as well as an indirect correlation with the proportion of poor or of those vulnerable to poverty and the Gini index.

conclusionsThe spatial analysis of tuberculosis-HIV coinfection showed heterogeneity in the Brazilian territory and constant behavior throughout the period, revealing clusters with high-burden municipalities, especially in large urban centers and in states with a high occurrence of HIV and/or tuberculosis. These findings, in addition to alerting to the effects of the covid-19 pandemic, can incorporate strategic planning for the control of coinfection, aiming to eliminate these infections as public health problems by 2030.

Indexed as

CoinfectionHIV InfectionsSocioeconomic FactorsTuberculosisAdolescentAdultBayes TheoremBrazilCluster AnalysisCOVID-19FemaleHumansIncidenceMaleMiddle AgedSpatial Analysis

Identifiers

PMID38656045
PMCPMC11037911
OpenAlexW4395466267

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.