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

BACKGROUND: Tuberculosis (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...

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Autores principales: Arcêncio, Ricardo Alexandre, Berra, Thaís Zamboni, Terena, Nahari de Faria Marcos, Rocha, Matheus Piumbini, Ferraz de Araújo Alecrim, Tatiana, de Souza Kihara, Fernanda Miye, Mascarello, Keila Cristina, Martins Sales, Carolina Maia, Maciel, Ethel Leonor Noia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189475/
https://www.ncbi.nlm.nih.gov/pubmed/34106968
http://dx.doi.org/10.1371/journal.pone.0252712
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author Arcêncio, Ricardo Alexandre
Berra, Thaís Zamboni
Terena, Nahari de Faria Marcos
Rocha, Matheus Piumbini
Ferraz de Araújo Alecrim, Tatiana
de Souza Kihara, Fernanda Miye
Mascarello, Keila Cristina
Martins Sales, Carolina Maia
Maciel, Ethel Leonor Noia
author_facet Arcêncio, Ricardo Alexandre
Berra, Thaís Zamboni
Terena, Nahari de Faria Marcos
Rocha, Matheus Piumbini
Ferraz de Araújo Alecrim, Tatiana
de Souza Kihara, Fernanda Miye
Mascarello, Keila Cristina
Martins Sales, Carolina Maia
Maciel, Ethel Leonor Noia
author_sort Arcêncio, Ricardo Alexandre
collection PubMed
description BACKGROUND: Tuberculosis (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. METHODS: This 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. RESULTS: 2,471 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. CONCLUSIONS: The 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.
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spelling pubmed-81894752021-06-16 Spatial clustering and temporal trend analysis of international migrants diagnosed with tuberculosis in Brazil Arcêncio, Ricardo Alexandre Berra, Thaís Zamboni Terena, Nahari de Faria Marcos Rocha, Matheus Piumbini Ferraz de Araújo Alecrim, Tatiana de Souza Kihara, Fernanda Miye Mascarello, Keila Cristina Martins Sales, Carolina Maia Maciel, Ethel Leonor Noia PLoS One Research Article BACKGROUND: Tuberculosis (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. METHODS: This 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. RESULTS: 2,471 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. CONCLUSIONS: The 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. Public Library of Science 2021-06-09 /pmc/articles/PMC8189475/ /pubmed/34106968 http://dx.doi.org/10.1371/journal.pone.0252712 Text en © 2021 Arcêncio et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Arcêncio, Ricardo Alexandre
Berra, Thaís Zamboni
Terena, Nahari de Faria Marcos
Rocha, Matheus Piumbini
Ferraz de Araújo Alecrim, Tatiana
de Souza Kihara, Fernanda Miye
Mascarello, Keila Cristina
Martins Sales, Carolina Maia
Maciel, Ethel Leonor Noia
Spatial clustering and temporal trend analysis of international migrants diagnosed with tuberculosis in Brazil
title Spatial clustering and temporal trend analysis of international migrants diagnosed with tuberculosis in Brazil
title_full Spatial clustering and temporal trend analysis of international migrants diagnosed with tuberculosis in Brazil
title_fullStr Spatial clustering and temporal trend analysis of international migrants diagnosed with tuberculosis in Brazil
title_full_unstemmed Spatial clustering and temporal trend analysis of international migrants diagnosed with tuberculosis in Brazil
title_short Spatial clustering and temporal trend analysis of international migrants diagnosed with tuberculosis in Brazil
title_sort spatial clustering and temporal trend analysis of international migrants diagnosed with tuberculosis in brazil
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189475/
https://www.ncbi.nlm.nih.gov/pubmed/34106968
http://dx.doi.org/10.1371/journal.pone.0252712
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