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

BACKGROUND: International 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. METHOD: This 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. RESULTS: A 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. CONCLUSIONS: It 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.

Unsuccessful tuberculosis treatment outcomes across Brazil's geographical landscape before and during the COVID-19 pandemic: are we truly advancing toward the sustainable development/end TB goal?

BACKGROUND: Tuberculosis is one of the most significant infectious diseases for global public health. The reallocation of healthcare resources and the restrictions imposed by the COVID-19 pandemic have hindered access to TB diagnosis and treatment. Increases in unfavorable outcomes of the disease have been observed in Brazil. The objective of this study was to analyze the spatial distribution of unfavorable TB treatment outcomes in Brazil before and during the pandemic. METHODS: An ecological study with spatial analysis was conducted with all 5569 municipalities in Brazil. All reported cases of tuberculosis between January 2010 and December 2021, as well as reported cases of COVID-19 from February 2020 to December 2021, were included. The outcomes studied encompass loss to follow-up, drug-resistant tuberculosis, and death. The Getis Ord GI* technique was employed to assess spatial association, and the Kernel density estimator was used to identify areas with concentrated increases or decreases in outcomes. Bivariate Local Moran's I was used to examine the spatial association between outcomes and COVID-19 incidence. The study was approved by the Research Ethics Committee of Ribeirão Preto Nursing School, University of São Paulo. RESULTS: There were 134,394 cases of loss to follow-up, 10,270 cases of drug resistance, and 37,863 deaths. Clusters of high and low values were identified for all three outcomes, indicating significant changes in the spatial distribution patterns. Increases in concentrations were observed for lost to follow-up cases in the Southeast, while reductions occurred in the Northeast, South, and Midwest. Drug-resistant tuberculosis experienced an increase in the Southern and Southeastern regions and a decrease in the Northeast and South. TB-related deaths showed notable concentrations in the Midwest, Northeast, South, and Southeast. There was an increase in high occurrence clusters for deaths after 2020 and 2021 in the Northeast. CONCLUSIONS: The pandemic has brought additional challenges, emphasizing the importance of enhancing efforts and disease control strategies, prioritizing early identification, treatment adherence, and follow-up. This commitment is vital for achieving the goal of tuberculosis elimination.

Spatial and temporal analysis of tuberculosis incidence in Guinea-Bissau, 2018 to 2020.

OBJECTIVE: to analyze the epidemiological profile, spatial and temporal distribution of tuberculosis in Guinea-Bissau from 2018 to 2020. METHODS: an ecological study, carried out in Guinea-Bissau, considering new cases of tuberculosis. Spatial analysis of areas was used to verify tuberculosis distribution in the country, and time series were used to identify incidence evolution over the years of study. RESULTS: a total of 6,840 new cases of tuberculosis were reported. Tuberculosis incidence rate in the country ranged from 36.8 to 267.7 cases/100,000 inhabitants, with emphasis on the regions of Bissau and Biombo (over 90 cases/100,000). By using time series, it was possible to observe an increase in case incidence over the years of study. CONCLUSIONS: the study made it possible to identify the epidemiological profile of tuberculosis in Guinea-Bissau, spatial distribution heterogeneity, in addition to identifying the disease evolution over the years of investigation.

Geo-spatial high-risk clusters of Tuberculosis in the global general population: a systematic review.

INTRODUCTION: The objective of this systematic review is to identify tuberculosis (TB) high-risk among the general population globally. The review was conducted using the following steps: elaboration of the research question, search for relevant publications, selection of studies found, data extraction, analysis, and evidence synthesis. METHODS: The studies included were those published in English, from original research, presented findings relevant to tuberculosis high-risk across the globe, published between 2017 and 2023, and were based on geospatial analysis of TB. Two reviewers independently selected the articles and were blinded to each other`s comments. The resultant disagreement was resolved by a third blinded reviewer. For bibliographic search, controlled and free vocabularies that address the question to be investigated were used. The searches were carried out on PubMed, LILACS, EMBASE, Scopus, and Web of Science. and Google Scholar. RESULTS: A total of 79 published articles with a 40-year study period between 1982 and 2022 were evaluated. Based on the 79 studies, more than 40% of all countries that have carried out geospatial analysis of TB were from Asia, followed by South America with 23%, Africa had about 15%, and others with 2% and 1%. Various maps were used in the various studies and the most used is the thematic map (32%), rate map (26%), map of temporal tendency (20%), and others like the kernel density map (6%). The characteristics of the high-risk and the factors that affect the hotspot's location are evident through studies related to poor socioeconomic conditions constituting (39%), followed by high population density (17%), climate-related clustering (15%), high-risk spread to neighbouring cities (13%), unstable and non-random cluster (11%). CONCLUSION: There exist specific high-risk for TB which are areas that are related to low socioeconomic conditions and spectacular weather conditions, these areas when well-known will be easy targets for intervention by policymakers. We recommend that more studies making use of spatial, temporal, and spatiotemporal analysis be carried out to point out territories and populations that are vulnerable to TB.

Clusters of risk for the occurrence of leprosy and disabilities in children under 15 years of age in Cuiabá: a geospatial study. / Aglomerados de risco para ocorrência de hanseníase e as incapacidades em menores de 15 anos em Cuiabá: um estudo geoespacial.

OBJECTIVE: This study aimed to analyze the spatial distribution of leprosy and disabilities in children under 15 years of age in Cuiabá. METHODS: Ecological study carried out in the city of Cuiabá, Mato Grosso, Brazil. The study population consisted of leprosy cases in children under 15 years old notified in the Notifiable Diseases Information System, between 2008 and 2018. Based on residential addresses, cases were georeferenced. In the analysis of the spatial distribution of the cases, the estimation of the Kernel density was used and, later, the statistics of spatial, spatio-temporal and Spatial Variation in Temporal Trends were applied. RESULTS: 514 cases of leprosy were reported in children under 15 years of age in Cuiabá, with a percentage of 10.1% of cases with degree of physical disability 1 and 2.3% with degree of physical disability 2 at the time of diagnosis. With the techniques of spatial and spatio-temporal scanning, clusters of risk for leprosy were identified in the North, West, East and South regions of Cuiabá, and with the technique of Spatial Variation in Temporal Trends, a cluster was identified in the West region of Cuiabá. CONCLUSION: In Cuiabá, cases of leprosy in children under 15 years of age with disabilities were distributed throughout the urban area of the city, with the highest density of cases in the North and West regions, followed by the East region. The clusters with the highest Relative Risk were identified in the East and West regions, characterized by having low and medium income levels.

OBJETIVO: Este estudo teve como objetivo analisar a distribuição espacial da hanseníase e as incapacidades em menores de 15 anos de idade em Cuiabá. MÉTODOS: Estudo ecológico realizado na cidade de Cuiabá, Mato Grosso, Brasil. A população do estudo foi composta de casos de hanseníase em menores de 15 anos notificados no Sistema de Informações de Agravos de Notificação, entre os anos de 2008 e 2018. Com base nos endereços residenciais, os casos foram georreferenciados. Na análise da distribuição espacial dos casos, foi utilizada a estimativa da densidade de Kernel e, posteriormente, aplicada a estatística de varredura espacial, espaço-temporal e variação espacial nas tendências temporais. RESULTADOS: Foram notificados 514 casos de hanseníase em menores de 15 anos em Cuiabá, com percentual de 10,1% de casos com grau de incapacidade física 1 e 2,3% com grau de incapacidade física 2 no momento do diagnóstico. Com as técnicas de varredura espacial e espaço-temporal, foram identificados aglomerados de risco para hanseníase nas regiões norte, oeste, leste e sul de Cuiabá, e com a técnica de variação espacial nas tendências temporais foi identificado um aglomerado na região oeste de Cuiabá. CONCLUSÃO: Em Cuiabá, os casos de hanseníase em menores de 15 anos com incapacidades estavam distribuídos em toda a extensão urbana da cidade, com maior densidade de casos nas regiões norte e oeste, seguida da região leste. Os aglomerados de maior risco relativo foram identificados nas regiões leste e oeste, caracterizadas por apresentar baixo e médio níveis de renda.

Aglomerados de risco para ocorrência de hanseníase e as incapacidades em menores de 15 anos em Cuiabá: um estudo geoespacial / Clusters of risk for the occurrence of leprosy and disabilities in children under 15 years of age in Cuiabá: a geospatial study

RESUMO Objetivo: Este estudo teve como objetivo analisar a distribuição espacial da hanseníase e as incapacidades em menores de 15 anos de idade em Cuiabá. Métodos: Estudo ecológico realizado na cidade de Cuiabá, Mato Grosso, Brasil. A população do estudo foi composta de casos de hanseníase em menores de 15 anos notificados no Sistema de Informações de Agravos de Notificação, entre os anos de 2008 e 2018. Com base nos endereços residenciais, os casos foram georreferenciados. Na análise da distribuição espacial dos casos, foi utilizada a estimativa da densidade de Kernel e, posteriormente, aplicada a estatística de varredura espacial, espaço-temporal e variação espacial nas tendências temporais. Resultados: Foram notificados 514 casos de hanseníase em menores de 15 anos em Cuiabá, com percentual de 10,1% de casos com grau de incapacidade física 1 e 2,3% com grau de incapacidade física 2 no momento do diagnóstico. Com as técnicas de varredura espacial e espaço-temporal, foram identificados aglomerados de risco para hanseníase nas regiões norte, oeste, leste e sul de Cuiabá, e com a técnica de variação espacial nas tendências temporais foi identificado um aglomerado na região oeste de Cuiabá. Conclusão: Em Cuiabá, os casos de hanseníase em menores de 15 anos com incapacidades estavam distribuídos em toda a extensão urbana da cidade, com maior densidade de casos nas regiões norte e oeste, seguida da região leste. Os aglomerados de maior risco relativo foram identificados nas regiões leste e oeste, caracterizadas por apresentar baixo e médio níveis de renda.

ABSTRACT Objective This study aimed to analyze the spatial distribution of leprosy and disabilities in children under 15 years of age in Cuiabá. Methods Ecological study carried out in the city of Cuiabá, Mato Grosso, Brazil. The study population consisted of leprosy cases in children under 15 years old notified in the Notifiable Diseases Information System, between 2008 and 2018. Based on residential addresses, cases were georeferenced. In the analysis of the spatial distribution of the cases, the estimation of the Kernel density was used and, later, the statistics of spatial, spatio-temporal and Spatial Variation in Temporal Trends were applied. Results 514 cases of leprosy were reported in children under 15 years of age in Cuiabá, with a percentage of 10.1% of cases with degree of physical disability 1 and 2.3% with degree of physical disability 2 at the time of diagnosis. With the techniques of spatial and spatio-temporal scanning, clusters of risk for leprosy were identified in the North, West, East and South regions of Cuiabá, and with the technique of Spatial Variation in Temporal Trends, a cluster was identified in the West region of Cuiabá. Conclusion In Cuiabá, cases of leprosy in children under 15 years of age with disabilities were distributed throughout the urban area of the city, with the highest density of cases in the North and West regions, followed by the East region. The clusters with the highest Relative Risk were identified in the East and West regions, characterized by having low and medium income levels

Spatial and temporal analysis of tuberculosis incidence in Guinea-Bissau, 2018 to 2020 / Análisis espacial y temporal de la incidencia de tuberculosis en Guinea-Bissau, 2018 a 2020 / Análise espacial e temporal da incidência da tuberculose em Guiné-Bissau, 2018 a 2020

ABSTRACT Objective: to analyze the epidemiological profile, spatial and temporal distribution of tuberculosis in Guinea-Bissau from 2018 to 2020. Methods: an ecological study, carried out in Guinea-Bissau, considering new cases of tuberculosis. Spatial analysis of areas was used to verify tuberculosis distribution in the country, and time series were used to identify incidence evolution over the years of study. Results: a total of 6,840 new cases of tuberculosis were reported. Tuberculosis incidence rate in the country ranged from 36.8 to 267.7 cases/100,000 inhabitants, with emphasis on the regions of Bissau and Biombo (over 90 cases/100,000). By using time series, it was possible to observe an increase in case incidence over the years of study. Conclusions: the study made it possible to identify the epidemiological profile of tuberculosis in Guinea-Bissau, spatial distribution heterogeneity, in addition to identifying the disease evolution over the years of investigation.

RESUMEN Objetivo: analizar el perfil epidemiológico, distribución espacial y temporal de la tuberculosis en Guinea-Bissau, de 2018 a 2020. Métodos: estudio ecológico, realizado en Guinea-Bissau, considerando nuevos casos de tuberculosis. Se utilizó análisis espacial de áreas para verificar la distribución de la tuberculosis en el país y series de tiempo para identificar la evolución de la incidencia a lo largo de los años de estudio. Resultados: se notificaron 6.840 nuevos casos de tuberculosis. La tasa de incidencia de tuberculosis en el país varió de 36,8 a 267,7 casos/100.000 habitantes, con énfasis en las regiones de Bissau y Biombo (más de 90 casos/100.000). Con el uso de series de tiempo, fue posible observar un aumento en la incidencia de casos a lo largo de los años del estudio. Conclusiones: el estudio permitió identificar el perfil epidemiológico de la tuberculosis en Guinea-Bissau, la heterogeneidad de la distribución espacial, además de identificar la evolución de la enfermedad a lo largo de los años de investigación.

RESUMO Objetivo: analisar o perfil epidemiológico, a distribuição espacial e temporal da tuberculose em Guiné-Bissau, no período de 2018 a 2020. Métodos: estudo ecológico, realizado em Guiné-Bissau, considerando os casos novos de tuberculose. Empregaram-se análise espacial de áreas, para verificar a distribuição da tuberculose no país, e séries temporais, para identificar a evolução da incidência ao longo dos anos de estudo. Resultados: foram notificados 6.840 casos novos de tuberculose. A taxa de incidência da tuberculose no país variou de 36,8 a 267,7 casos/100.000 habitantes, com destaque para as regiões de Bissau e Biombo (superior a 90 casos/100.000). Com o uso de séries temporais, foi possível observar um aumento na incidência dos casos ao longo dos anos do estudo. Conclusões: o estudo permitiu identificar o perfil epidemiológico da tuberculose em Guiné-Bissau, a heterogeneidade da distribuição espacial, além de identificar a evolução da doença ao logo dos anos de investigação.

Impact of COVID-19 on Tuberculosis Indicators in Brazil: A Time Series and Spatial Analysis Study.

BACKGROUND: We aimed to visualize and classify the time series of COVID-19, tuberculosis (TB) notification, and TB outcomes (cure, treatment abandonment, and death), verify the impact of the new coronavirus pandemic on these indices in Brazil, and verify the presence of spatial autocorrelation between COVID-19 and TB. METHODS: This was an ecological time series study that considered TB and COVID-19 cases. Seasonal Trend Decomposition using Loess (STL) was used to trace the temporal trend, Prais-Winsten was used to classify the temporal trend, Interrupted Time Series (ITS) was used to verify the impact of COVID-19 on TB rates, and the Bivariate Moran Index (Global and Local) was used to verify the spatial autocorrelation of events. RESULTS: Brazil and its macro-regions showed an increasing temporal trend for the notification of TB in the pre-pandemic period. Only the Northeast Region showed a decreasing temporal trend for cured cases. For treatment abandonment, all regions except for the Northeast showed an increasing temporal trend, and regarding death, Brazil and the Northeast Region showed an increasing temporal trend. With the ITS, COVID-19 caused a decline in TB notification rates and TB outcome rates. With the global spatial analysis, it was possible to identify the existence of spatial autocorrelation between the notification rate of COVID-19 and the TB notification rate and deaths. With the local analysis, it was possible to map the Brazilian municipalities and classify them according to the relationship between the rates of both diseases and space. CONCLUSIONS: COVID-19 influenced the follow-up of and adherence to TB treatment and intensified social vulnerability and, consequently, affected the notification of TB since the relationship between the disease and social determinants of health is already known. The restoration and strengthening of essential services for the prevention and detection of cases and treatment of TB in endemic environments such as Brazil have been oriented as a priority in the global health agenda.