Evidence map›Paper›PMID 34106968›Full record

ArticlePloS one2021

Spatial clustering and temporal trend analysis of international migrants diagnosed with tuberculosis in Brazil.

Ricardo Alexandre Arcêncio, Thaís Zamboni Berra, Nahari de Faria Marcos Terena, Matheus Piumbini Rocha, Tatiana Ferraz de Araújo Alecrim, Fernanda Miye de Souza Kihara, Keila Cristina Mascarello, Carolina Maia Martins Sales, Ethel Leonor Noia Maciel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

9 authors at 5 institutions in 2 countries.

Ricardo Alexandre ArcêncioDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto School of Nursing, Ribeirão Preto, São Paulo, Brazil.
Thaís Zamboni BerraDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto School of Nursing, Ribeirão Preto, São Paulo, Brazil.
Nahari de Faria Marcos TerenaDepartment of Statistics, University Roma La Sapienza, Rome, Italy.ORCID 0000-0003-2372-8363
Matheus Piumbini RochaEpidemiology Laboratory, Health Sciences Center, Universidade Federal do Espírito Santo, Vitoria, Brazil.
Tatiana Ferraz de Araújo AlecrimDepartment of Nursing, Federal University of São Carlos, São Paulo, Brazil.
Fernanda Miye de Souza KiharaEpidemiology Laboratory, Health Sciences Center, Universidade Federal do Espírito Santo, Vitoria, Brazil.
Keila Cristina MascarelloDepartment of Health Sciences, Centro Universitário Norte do Espírito Santo, Universidade Federal do Espírito Santo, Vitoria, Brazil.ORCID 0000-0003-4567-487X
Carolina Maia Martins SalesEpidemiology Laboratory, Health Sciences Center, Universidade Federal do Espírito Santo, Vitoria, Brazil.
Ethel Leonor Noia MacielEpidemiology Laboratory, Health Sciences Center, Universidade Federal do Espírito Santo, Vitoria, Brazil.
Universidade Federal do Espírito Santo · BRUniversidade de São Paulo · BRCentro Universitário do Norte · BRSapienza University of Rome · ITUniversidade Federal de São Carlos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) in migrants is of concern to health authorities worldwide and is even more critical in Brazil, considering the country´s size and long land borders. The aim of the study was to identify critical areas in Brazil for migrants diagnosed with TB and to describe the temporal trend in this phenomenon in recent years.

methodsThis is an ecological study that used spatial analysis and time series analysis. As the study population, all cases of migrants diagnosed with TB from 2014 to 2019 were included, and Brazilian municipalities were considered as the unit of ecological analysis. The Getis-Ord Gi* technique was applied to identify critical areas, and based on the identified clusters, seasonal-trend decomposition based on loess (STL) and Prais-Winsten autoregression were used, respectively, to trace and classify temporal trend in the analyzed series. In addition, several municipal socioeconomic indicators were selected to verify the association between the identified clusters and social vulnerability.

results2,471 TB cases were reported in migrants. Gi* analysis showed that areas with spatial association with TB in immigrants coincide with critical areas for TB in the general population (coast of the Southeast and North regions). Four TB clusters were identified in immigrants in the states of Amazonas, Roraima, São Paulo, and Rio de Janeiro, with an upward trend in most of these clusters. The temporal trend in TB in immigrants was classified as increasing in Brazil (+ 60.66% per year [95% CI: 27.21-91.85]) and in the clusters in the states of Amazonas, Roraima, and Rio de Janeiro (+1.01, +2.15, and + 2.90% per year, respectively). The cluster in the state of São Paulo was the only one classified as stationary. The descriptive data on the municipalities belonging to the clusters showed evidence of the association between TB incidence and conditions of social vulnerability.

conclusionsThe study revealed the critical situation of TB among migrants in the country. Based on the findings, health authorities might focus on actions in regions identified, stablishing an intensive monitoring and following up, ensuring that these cases concluded their treatment and avoiding that they could spread the disease to the other regions or scenarios. The population of migrants are very dynamic, therefore strategies for following up them across Brazil are really urgent to manage the tuberculosis among international migrants in an efficient and proper way.

Indexed as

BrazilEmigrants and ImmigrantsHumansSpace-Time ClusteringTransients and MigrantsTuberculosis

Identifiers

PMID34106968
PMCPMC8189475
OpenAlexW3166334654

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.