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1.
Rev. latinoam. enferm. (Online) ; 31: e3690, Jan.-Dec. 2023. tab
Artigo em Inglês | LILACS, BDENF - Enfermagem | ID: biblio-1424039

RESUMO

Abstract Objective: to analyze the prevalence of tuberculosis, coronavirus, chronic conditions and vulnerabilities among migrants and refugees in Brazil. Method: this is a cross-sectional study of the electronic survey type conducted with international migrants during the COVID-19 pandemic. Descriptive statistics was applied for the analysis, with calculation of position and dispersion measures. Regarding the categorical variables, relative and absolute frequencies were estimated. Results: the study participants were 553 migrants and refugees, verifying 3.07%, 7.2% and 27.3% prevalence of tuberculosis, COVID-19 and chronic conditions, respectively. Among the vulnerabilities, 32% reported unemployment, 37.6% moved to Brazil as a result of the social situation in their countries and 33.6% were living as refugees or sheltered people. Conclusion: tuberculosis, chronic diseases and COVID-19 presented higher prevalence values in migrants and refugees than in the general population. As this is a population group that still has significant difficulty accessing health services and social protection systems, based on diverse evidence, the study will subsidize public policies, Nursing care and the incorporation of new routines in the service.


Resumo Objetivo: analisar a prevalência de tuberculose, coronavírus, condições crônicas e vulnerabilidades entre migrantes e refugiados no Brasil. Método: trata-se de estudo transversal, do tipo inquérito eletrônico, realizado com migrantes internacionais durante a pandemia de COVID-19. Para a análise, aplicou-se estatística descritiva, com cálculo de medidas de posição e de dispersão. Quanto às variáveis categóricas, estimaram-se as frequências relativas e absolutas. Resultados: participaram do estudo 553 migrantes e refugiados, verificando-se prevalência de 3,07% de tuberculose, 7,2% de COVID-19 e 27,3% de condições crônicas. Entre as vulnerabilidades, 32% referiram desemprego, 37,6% mudaram para o Brasil em decorrência da situação social do seu país e 33,6% residiam em asilo e ou abrigo. Conclusão: a tuberculose, as doenças crônicas e a COVID-19 apresentaram maior prevalência em migrantes e refugiados que na população em geral. Por tratar-se de uma população ainda com grande dificuldade de acesso aos serviços de saúde e aos sistemas de proteção social, o estudo subsidiará, com base em evidências, as políticas públicas, o atendimento do enfermeiro e a incorporação de novas rotinas no serviço.


Resumen Objetivo: analizar la prevalencia de tuberculosis, coronavirus, condiciones crónicas y vulnerabilidades en inmigrantes y refugiados en Brasil. Método: se trata de un estudio transversal, del tipo encuesta electrónica, realizado con migrantes internacionales durante la pandemia de COVID-19. Para el análisis se aplicó estadística descriptiva, con cálculo de medidas de posición y dispersión. En cuanto a las variables categóricas, se estimaron las frecuencias relativas y absolutas. Resultados: participaron del estudio 553 inmigrantes y refugiados, la prevalencia de tuberculosis era del 3,07%, de COVID-19 del 7,2% y de condiciones crónicas del 27,3%. Entre las vulnerabilidades, el 32% reportó desempleo, el 37,6% emigró a Brasil por la situación social de su país y el 33,6% vivía en un asilo o albergue. Conclusión: la tuberculosis, las enfermedades crónicas y el COVID-19 fueron más prevalentes en inmigrantes y refugiados que en la población general. Por tratarse de una población que aún tiene grandes dificultades para acceder a los servicios de salud y sistemas de protección social, el estudio contribuirá, con base en la evidencia, a las políticas públicas, la atención de enfermería y la incorporación de nuevas rutinas en el servicio.


Assuntos
Humanos , Refugiados , Tuberculose/epidemiologia , Incidência , Estudos Transversais , Emigrantes e Imigrantes , COVID-19/epidemiologia
2.
Rev Lat Am Enfermagem ; 31: e3690, 2023.
Artigo em Inglês, Português, Espanhol | MEDLINE | ID: mdl-36790278

RESUMO

OBJECTIVE: to analyze the prevalence of tuberculosis, coronavirus, chronic conditions and vulnerabilities among migrants and refugees in Brazil. METHOD: this is a cross-sectional study of the electronic survey type conducted with international migrants during the COVID-19 pandemic. Descriptive statistics was applied for the analysis, with calculation of position and dispersion measures. Regarding the categorical variables, relative and absolute frequencies were estimated. RESULTS: the study participants were 553 migrants and refugees, verifying 3.07%, 7.2% and 27.3% prevalence of tuberculosis, COVID-19 and chronic conditions, respectively. Among the vulnerabilities, 32% reported unemployment, 37.6% moved to Brazil as a result of the social situation in their countries and 33.6% were living as refugees or sheltered people. CONCLUSION: tuberculosis, chronic diseases and COVID-19 presented higher prevalence values in migrants and refugees than in the general population. As this is a population group that still has significant difficulty accessing health services and social protection systems, based on diverse evidence, the study will subsidize public policies, Nursing care and the incorporation of new routines in the service.


Assuntos
COVID-19 , Refugiados , Migrantes , Tuberculose , Humanos , COVID-19/epidemiologia , Prevalência , Estudos Transversais , Pandemias , Tuberculose/epidemiologia , Doença Crônica
3.
PLoS One ; 16(6): e0252712, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34106968

RESUMO

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.


Assuntos
Emigrantes e Imigrantes/estatística & dados numéricos , Migrantes/estatística & dados numéricos , Tuberculose/epidemiologia , Brasil , Humanos , Conglomerados Espaço-Temporais
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