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

Author:

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

Abstract

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.

Funder

Pan American Health Organization

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference44 articles.

1. World Health Organization (WHO). Global Tuberculosis Report 2020. Geneva: World Health Organization; 2020. Accessed: March 22, 2021. Available from: https://apps.who.int/iris/bitstream/handle/10665/336069/9789240013131-eng.pdf

2. Migration and tuberculosis in Europe;DA Boudville;J Clin Tuberc Other Mycobact Dis,2020

3. Tuberculosis, COVID-19, and migrants: Preliminary analysis of deaths occurring in 69 patients from two cohorts;I Motta;Pulmonology,2020

4. Tuberculosis in migrants: screening, surveillance, and ethics;G Scandurra;Pneumonia,2020

5. Breaking the barriers: migrants and tuberculosis;G Sotgiu;Presse Med,2017

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