Evidence map›Paper›PMID 38668543›Full record

ArticleTropical medicine and infectious disease2024

International Migration, Refugees, and Spread of Tuberculosis in Brazil: Analysis of Clusters, Trends, and Associated Factors (2010-2021).

Yan Mathias Alves, Thaís Zamboni Berra, Reginaldo Bazon Vaz Tavares, Marcela Antunes Paschoal Popolin, Fernanda Bruzadelli Paulino da Costa, Sonia Vivian de Jezus, Letícia Perticarrara Ferezin, Ariela Fehr Tártaro, Maria Del Pilar Serrano-Gallardo, Ione Carvalho Pinto and 2 more

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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

12 authors at 4 institutions in 2 countries.

Yan Mathias AlvesRibeirão Preto College of Nursing, University of São Paulo, São Paulo 14040-902, Brazil.ORCID 0000-0002-5596-0047
Thaís Zamboni BerraRibeirão Preto College of Nursing, University of São Paulo, São Paulo 14040-902, Brazil.
Reginaldo Bazon Vaz TavaresRibeirão Preto College of Nursing, University of São Paulo, São Paulo 14040-902, Brazil.ORCID 0000-0002-5378-6962
Marcela Antunes Paschoal PopolinRibeirão Preto College of Nursing, University of São Paulo, São Paulo 14040-902, Brazil.ORCID 0000-0002-8111-4370
Fernanda Bruzadelli Paulino da CostaRibeirão Preto College of Nursing, University of São Paulo, São Paulo 14040-902, Brazil.ORCID 0000-0001-5310-5592
Sonia Vivian de JezusInstituto de Ciências da Saúde, Federal University of Mato Grosso, Sinop 78550-728, Brazil.
Letícia Perticarrara FerezinRibeirão Preto College of Nursing, University of São Paulo, São Paulo 14040-902, Brazil.ORCID 0000-0003-1463-8155
Ariela Fehr TártaroRibeirão Preto College of Nursing, University of São Paulo, São Paulo 14040-902, Brazil.ORCID 0000-0002-2329-6268
Maria Del Pilar Serrano-GallardoNursing Department, Faculty of Medicine, Autonomous University of Madrid, 28029 Madrid, Spain.ORCID 0000-0002-5163-6821
Ione Carvalho PintoRibeirão Preto College of Nursing, University of São Paulo, São Paulo 14040-902, Brazil.
Ethel Leonor Noia MacielMinistry of Health, Secretary of Health Surveillance and Environment, Brasília 70058-900, Brazil.ORCID 0000-0003-4826-3355
Ricardo Alexandre ArcêncioRibeirão Preto College of Nursing, University of São Paulo, São Paulo 14040-902, Brazil.ORCID 0000-0003-4792-8714
Universidade de São Paulo · BRMinistério da Saúde · BRUniversidad Autónoma de Madrid · ESUniversidade Federal de Mato Grosso · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/01758-6National Council for Scientific and Technological Development 140005/2023-4National Council for Scientific and Technological Development 307014/2022-3National Council for Scientific and Technological Development 405902/2021-2
6 · The paper itself

Abstract

backgroundInternational migration is a global phenomenon with significant implications on the health-disease process due to exposures along transit routes and local/destination epidemiological indicators. We aimed to analyze the transmission and spread of tuberculosis among international migrants and refugees from a spatiotemporal perspective and the associated factors.

methodThis was an ecological study of cases of tuberculosis in international migrants in Brazil, between 2010 and 2021. Annual incidence rates were calculated and spatiotemporal scan techniques were used to identify municipalities at risk. Multiple logistic regression was used to identify factors associated with tuberculosis in international migrants.

resultsA total of 4037 cases of tuberculosis were reported in Brazil in international migrants. Municipalities at risk for this event were identified using the spatiotemporal scan technique, and a cluster was identified with ITT: +52.01% and ETT: +25.60%. A higher probability of TB infection was identified in municipalities with a TB incidence rate >14.40 cases/100 inhabitants, population >11,042 inhabitants, Gini index >0.49, and illiteracy rate >13.12%. A lower probability was found in municipalities with average per capita household income >BRL 456.43.

conclusionsIt is recommended that health authorities implement monitoring and rigorous follow-up in affected areas to ensure proper diagnosis and treatment completion for international migrants, preventing disease spread to other communities.

Indexed as

immigrationspatial analysistuberculosis

Identifiers

PMID38668543
PMCPMC11053982
OpenAlexW4394727202

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.