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.

Health condition, income loss, food insecurity and other social inequities among migrants and refugees during the COVID-19 pandemic in Brazil.

BACKGROUND: Brazil is the destination of many international migrants and refugees and, given the circumstances of their entry into the country, many face difficulties due to the absence of targeted policies. Thus, the objective of this study was to survey the social impact of COVID-19 on international migrants and refugees regarding income loss, food insecurity and other social inequities, and to identify explanatory factors on these aspects. METHODS: This is a cross-sectional, analytical study. We used a validated instrument applied by trained interviewers. Descriptive analysis and binary logistic regression were performed to identify factors associated with income loss and food insecurity. RESULTS: A total of 360 individuals from sub-Saharan African and South American countries participated in the study. Individuals who were white, black/brown, yellow, had an occupation/employment, and earned less than one minimum wage were more likely to lose income. Those who reported no income, received less than one minimum wage, and were diagnosed with COVID-19 were more likely to be food insecure. CONCLUSIONS: The study advances knowledge by identifying factors associated with income loss, food insecurity, and individuals' difficulty in accessing health services and social support measures in Brazil.

Digital health for treatment adherence in people with tuberculosis: a systematic review / Saúde digital para a adesão ao tratamento da pessoa com tuberculose: uma revisão sistemática / Salud digital para la adherencia al tratamiento en personas con tuberculosis: una revisión sistemática

Justifications and Objectives: the use of digital health, among people diagnosed with tuberculosis, can be an effective strategy, combined with health services, to increase adherence to treatment and impact the disease's epidemiological data in the country. As this topic has been widely discussed and improved in recent years, it is necessary to further investigate the research available on scientific bases. The objective of this study was to describe the use of digital health technologies to assist with adherence to tuberculosis treatment. Methods: this is a systematic literature review with a rapid review approach, following the PRISMA guidelines and the Cochrane guide. Evidence quality was assessed using the Mixed Methods Appraisal Tool. The studies were identified in PubMed, VHL, CINAHL, Cochrane Trial, SciELO, Scopus and Embase. Experimental, quasi-experimental studies and clinical trials were included, without language restrictions, published between 2020 and 2022. Content: nine studies were selected, which demonstrated that the implementation of digital technologies improved adherence rates to medication treatment and cure rates. Applications use strategies such as synchronous and asynchronous video, voice calls and text messages. Among the studies, only two technology/application names were mentioned. Conclusion: digital technologies have had a positive impact on the treatment of people diagnosed with tuberculosis.(AU)

Justificativas e Objetivos: a utilização da saúde digital, junto às pessoas diagnosticadas com a tuberculose, pode ser uma estratégia eficaz, aliada dos serviços de saúde, para aumentar a adesão ao tratamento e impactar os dados epidemiológicos da doença no país. Como esse tema tem sido amplamente discutido e aprimorado nos últimos anos, é necessário investigar mais a fundo as pesquisas disponíveis nas bases científicas. O objetivo deste estudo foi descrever o uso de tecnologias em saúde digital para auxiliar na adesão ao tratamento da tuberculose. Método: trata-se de revisão sistemática da literatura com abordagem de revisão rápida, seguindo as diretrizes do PRISMA e o guia da Cochrane. A qualidade das evidências foi realizada utilizando a ferramenta Mixed Methods Appraisal Tool. Os estudos foram identificados nas bases de dados PubMed, BVS, CINAHL, Cochrane Trial, SciELO, Scopus e Embase. Foram incluídos estudos experimentais, quase-experimentais e ensaios clínicos, sem restrição de idioma, publicados entre 2020 e 2022. Conteúdo: foram selecionados nove estudos, que demonstraram que a implementação de tecnologias digitais melhorou as taxas de adesão ao tratamento medicamentoso e as taxas de cura. Os aplicativos utilizam estratégias como vídeo síncrono e assíncrono, chamadas de voz e mensagens de texto. Entre os estudos, apenas dois nomes de tecnologia/aplicativo foram mencionados. Conclusão: as tecnologias digitais têm impactado de forma positiva no tratamento das pessoas com diagnóstico de tuberculose.(AU)

Justificaciones y objetivos: el uso de la salud digital entre las personas diagnosticadas con tuberculosis puede ser una estrategia eficaz y aliada de los servicios de salud para aumentar la adherencia al tratamiento e impactar los datos epidemiológicos de la enfermedad en el país. 3. Método: se realizó una revisión sistemática de la literatura con un enfoque de revisión rápida, siguiendo las pautas de PRISMA y la guía de Cochrane. La calidad de la evidencia se evaluó utilizando la herramienta Mixed Methods Appraisal Tool. Los estudios se identificaron en las siguientes bases de datos: PubMed, BVS, CINAHL, Cochrane Trial, SciELO, Scopus y Embase. Se incluyeron estudios experimentales, cuasiexperimentales y ensayos clínicos, sin restricciones de idioma, publicados entre 2020 y 2022. Contenido: se seleccionaron nueve estudios que demostraron que la implementación de tecnologías digitales mejoró las tasas de adherencia al tratamiento con medicamentos y las tasas de curación. Las aplicaciones utilizan estrategias como video sincrónico y asincrónico, llamadas de voz y mensajes de texto. Entre los estudios, sólo se mencionaron dos nombres de tecnologías/aplicaciones. Conclusión: las tecnologías digitales han tenido un impacto positivo en el tratamiento de personas diagnosticadas con tuberculosis.(AU)

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.

Factors associated with status and self-perceived mental health changes in the face of the COVID-19 pandemic in Brazil.

The SARS-CoV-2-triggered Public Health Emergency of International Importance has significantly contributed to emotional and mental health issues. The aim of this study was to identify factors associated with self-perceived mental health changes while facing the COVID-19 pandemic in Brazil. This was a cross-sectional, descriptive, and analytical study that collected data via a web survey using a validated instrument. The study included individuals over 18 years old residing in the 26 federal units and the Federal District from August 2020 to November 2022. The sample was recruited using the snowball technique. Two logistic regression analyses were conducted to identify factors associated with the outcomes of interest. The first analysis considered individuals who rated their mental health condition as poor as the dependent variable, while the second analysis considered individuals who reported changes in their mental health during the pandemic as the dependent variable. The study found that individuals with complete college education and those using tranquilizers or antidepressants were more likely to perceive their mental health as poor (1.97 and 2.04 times higher likelihood, respectively). Increased consumption of ultra-processed foods during the pandemic was associated with a 2.49 higher likelihood of reporting mental health changes. Participants also reported more difficulty sleeping. The negative self-perception of mental health varied across Brazil's regions and changed over time, with different patterns observed before and after the vaccination period. In 2022, most regions of Brazil classified their mental health as "poor." The study highlights the impact of the COVID-19 pandemic on mental health, with increased prevalence of mental disorders and emotional problems among the population. The results highlight the presence of mental disorders and increased reporting of emotional problems among the population due to the impact of the COVID-19 pandemic.

A distributional regression approach to modeling the impact of structural and intermediary social determinants on communities burdened by tuberculosis in Eastern Amazonia - Brazil.

BACKGROUND: Tuberculosis (TB) is a disease that is influenced by social determinants of health. However, the specific structural and intermediary determinants of TB in Eastern Amazonia remain unclear. Despite being rich in natural resources, the region faces significant challenges related to poverty, inequality, and neglected diseases. The objective of this study was to use mathematical modeling to evaluate the influence of structural and intermediary determinants of health on TB in Eastern Amazonia, Brazil. METHODS: This cross-sectional included all TB cases diagnosed and registered in the Notifiable Diseases Information System (SINAN) from 2001 to 2017. Data on social determinants were collected at the census tract level. The generalized additive model for location, scale, and shape (GAMLSS) framework was employed to identify the effect of social determinants on communities with a high TB prevalence. The Double Poisson distribution (DPO) was chosen, and inclusion of quadratic effects was tested. RESULTS: A total of 1730 individuals were diagnosed with TB and reported in SINAN during the analyzed period. The majority were female (59.3%), aged 31 to 59 years (47.6%), identified as blacks (67.9%), and had incomplete elementary education (46.6%). The prevalence of alcoholism was 8.6% and mental illness was 0.7%. GAMLSS analyses demonstrated that the risk of community incidence of TB is associated with the proportion of the population lacking basic sanitation, as well as with the age groups of 16-31 years and > 61 years. CONCLUSIONS: The study highlights the strategic utility of GAMLSS in identifying high-risk areas for TB. Models should encompass a broader range of social determinants to inform policies aimed at reducing inequality and achieving the goals of the End TB strategy.

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.

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.

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

Concordância às medidas de flexibilização durante a pandemia de covid-19 no brasil / Conformidad con las medidas de flexibilización durante la pandemia de covid-19 en brasil / Agreement to the flexibility measures during the covid-19 pandemic in brazil

RESUMO Objetivo: analisar os fatores associados à concordância com a flexibilização das medidas de proteção no Brasil durante a pandemia pela COVID-19. Método: estudo transversal, com dados de uma web survey realizada com adultos residentes no Brasil, entre agosto de 2020 e fevereiro de 2021. Resultados: dos 1.516 respondentes, a maioria possuía idade entre 40 a 59 anos (38,8%), sexo feminino (69,4%), nível de pós-graduação (48%), raça/cor branca (64,2%), separados/solteiros (48,3%). A maioria dos participantes concordou com as medidas de flexibilização (41,1%), todavia consideraram os ambientes nada ou pouco adequados para a retomada das atividades cotidianas (com exceção dos locais abertos para atividades físicas). As medidas implementadas pelo Estado durante a pandemia por COVID-19 também foram tidas como pouco e nada adequadas. Houve mais chance de concordância com as medidas de flexibilização entre as pessoas que moravam/conviviam com trabalhadores expostos ao risco de contrair a COVID-19. Conclusão: de modo geral, houve concordância às medidas de flexibilização no país. Morar/conviver com trabalhadores expostos ao risco de contrair a COVID-19 foi o principal fator associado à maior chance de concordar com as medidas de flexibilização, o que sinaliza a carga biopsicossocial trazida pela doença.

RESUMEN Objetivo: analizar los factores asociados a la conformidad con la flexibilización de las medidas de protección en Brasil durante la pandemia por COVID-19. Método: estudio transversal, con datos de una websurvey realizada con adultos residentes en Brasil, entre agosto de 2020 y febrero de 2021. Resultados: de los 1.516 encuestados, la mayoría poseía edad entre 40 y 59 años (38,8%), sexo femenino (69,4%), nivel de posgrado (48%), raza/color blanco (64,2%), separados/solteros (48,3%). La mayoría de los participantes estuvo de acuerdo con las medidas de flexibilización (41,1%), sin embargo, consideraron los ambientes nada o poco adecuados para la reanudación de las actividades cotidianas (con excepción de los locales abiertos para actividades físicas). Las medidas aplicadas por el Estado durante la pandemia de COVID-19 también fueron consideradas poco y nada adecuadas. La conformidad con las medidas de flexibilización se dio más entre las personas que vivían/convivían con trabajadores expuestos al riesgo de contraer la COVID-19. Conclusión: en general, hubo concordancia con las medidas de flexibilización en el país. Vivir/convivir con trabajadores expuestos al riesgo de contraer la COVID-19 fue el principal factor asociado a la mayor probabilidad de concordar con las medidas de flexibilización, lo que señala la carga biopsicosocial ocasionada por la enfermedad.

ABSTRACT Objective: to analyze the factors associated with agreement with the flexibility of protection measures in Brazil during the COVID-19 pandemic. Method: cross-sectional study with data from a websurvey conducted with adults living in Brazil, between August 2020 and February 2021. Results: of the 1,516 respondents, the majority were aged between 40 and 59 years (38.8%), female (69.4%), graduate level (48%), white race/color (64.2%), separated/single (48.3%). Most participants agreed with the flexibility measures (41.1%), but considered the environments not suitable or inadequate for the resumption of daily activities (except for places open for physical activities). The measures implemented by the State during the COVID-19 pandemic were also seen as nothing and inadequate. There was a greater chance of agreement with the flexibility measures among people who lived with workers exposed to the risk of contracting COVID-19. Conclusion: in general, there was agreement to the flexibility measures in the country. Living/living with workers exposed to the risk of contracting COVID-19 was the main factor associated with the greater chance of agreeing with the flexibility measures, which signals the biopsychosocial burden brought by the disease.

Acquired and Transmitted Multidrug-Resistant Tuberculosis among the Incarcerated Population and Its Determinants in the State of Paraná-Brazil.

(1) Background: Tuberculosis remains a public health problem in the world. The study analyzed the factors associated with drug-resistant tuberculosis in the prison population of the state of Paraná. (2) Methods: Ecological study of drug-resistant tuberculosis cases registered in the Paraná Information System, Brazil (2008 to 2018). We performed descriptive statistics of quantitative parameters calculated with absolute frequencies. Additionally, we used binary regression logistics, where the odds ratio with its respective confidence interval was calculated. (3) Results: Of the 653 cases registered as cases of tuberculosis in the incarcerated population, 98 were drug-resistant tuberculosis. We observed that educational level of up to 8 to 11 years of schooling, negative bacterial culture (test outcome) and no tobacco use were factors associated with the non-development of drug-resistant tuberculosis, while clinically confirmed pulmonary TB and positive sputum smear microscopy in the fourth month of follow-up showed an association for the development of drug resistance. (4) Conclusions: The study showed that clinically confirmed pulmonary TB and a positive sputum smear microscopy in the fourth month of follow-up were associated with drug-resistant tuberculosis.

Level of Trust of the Population in the Unified Health System in the Midst of the COVID-19 Crisis in Brazil.

OBJECTIVE: to assess the level of trust in health services during the COVID-19 pandemic in Brazil. METHODS: A cross-sectional study, carried out between 2020 and 2021, among Brazilians over 18. Nonprobabilistic sampling was used. Descriptive and inferential statistics were applied, using the local bivariate Moran's technique to verify the existence of spatial dependence between the incidence and mortality of COVID-19 and trust in health services. Furthermore, multinomial regression was also used to analyze the factors associated with the confidence level, with the calculation of the odds ratio and with a confidence interval of 95%. RESULTS: A total of 50.6% reported trust in hospital services, while 41.4% did not trust primary health care services. With the application of the local bivariate Moran, both for the incidence and mortality of COVID-19, the trust in tertiary care and primary care services showed a statistically significant spatial association predominant in the Midwest (high-low) and North (low-high) regions of Brazil. The level of trust was associated with education, religion, region of the country and income. CONCLUSIONS: The level of trust in hospital services, more than primary health care services, may be related to the population's culture of prioritizing the search for hospital care at the detriment of health promotion and disease prevention.

Trend and Spatial Distribution of Drug-Resistant Tuberculosis in Liberty-Deprived Populations in the State of Paraná, Brazil.

(1) Background: Tuberculosis remains a public health problem in the world. This study evaluated the temporal trends, distribution, and spatial associations of drug-resistant tuberculosis in liberty-deprived populations in the state of Paraná, Brazil. (2) Methods: An ecological study was developed using all cases of drug-resistant tuberculosis in penal establishments reported by the Brazilian Notifiable Diseases Information System between 2008 and 2018. For the time trend, the Prais-Winsten method was used. To verify the spatial association, the Getis-Ord Gi* technique was used. (3) Results: During the study period, 653 cases of tuberculosis were reported in the studied population, of which 98 (15%) were drug-resistant. Prais-Winsten autoregression identified an increasing trend, with APC = 15.08% (95% CI: 0.02-0.09) from 2008 to 2018; when analyzed from 2012 to 2018, the trend increased even more, with APC = 23.31% (95% CI: 0.01-0.16). Hotspots were also noted in the north, east, and west macro-regions of the state. (4) Conclusions: The presence of drug-resistant tuberculosis, as well as an increasing trend of these cases, was evidenced in all regions of the state among liberty-deprived populations,. The spatial analysis revealed priority areas for drug-resistant tuberculosis in penal establishments.

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.

Tuberculosis among People Living on the Street and Using Alcohol, Tobacco, and Illegal Drugs: Analysis of Territories in Extreme Vulnerability and Trends in Southern Brazil.

(1) Background: Tuberculosis presents an epidemiological trend toward inequality, especially among people in social exclusion and situations of vulnerability. This study aimed to analyze territories with a concentration of people diagnosed with tuberculosis in a street situation and who partake in chronic use of alcohol, tobacco, and illicit drugs. We also analyzed trends in this health condition in southern Brazil. (2) Methods: Ecological study, developed in the 399 municipalities of Paraná, southern Brazil, with all tuberculosis cases in the homeless population registered in the Information System of Notifiable Diseases between 2014 and 2018. For data analysis, we used descriptive statistics, the Prais-Winsten autoregression method for the time series, and the Getis-Ord Gi technique* for spatial analysis. (3) Results: in total, 560 cases were reported. We found a predominance of alcohol, smoking, and illicit drug users, with an increasing trend in the state and clusters of spatial risk in the East health macro-region. (4) Conclusions: We observed territories with critical levels of highly vulnerable people who use psychoactive substances and are in a street situation. The results highlight the importance of incorporating public policies of social protection for these individuals and resolutive health services that receive these cases and assist in eradicating TB.

Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil.

OBJECTIVES: To identify risk-prone areas for the spread of tuberculosis, analyze spatial variation and temporal trends of the disease in these areas and identify their determinants in a high burden city. METHODS: An ecological study was carried out in Ribeirão Preto, São Paulo, Brazil. The population was composed of pulmonary tuberculosis cases reported in the Tuberculosis Patient Control System between 2006 and 2017. Seasonal Trend Decomposition using the Loess decomposition method was used. Spatial and spatiotemporal scanning statistics were applied to identify risk areas. Spatial Variation in Temporal Trends (SVTT) was used to detect risk-prone territories with changes in the temporal trend. Finally, Pearson's Chi-square test was performed to identify factors associated with the epidemiological situation in the municipality. RESULTS: Between 2006 and 2017, 1760 cases of pulmonary tuberculosis were reported in the municipality. With spatial scanning, four groups of clusters were identified with relative risks (RR) from 0.19 to 0.52, 1.73, 2.07, and 2.68 to 2.72. With the space-time scan, four clusters were also identified with RR of 0.13 (2008-2013), 1.94 (2010-2015), 2.34 (2006 to 2011), and 2.84 (2014-2017). With the SVTT, a cluster was identified with RR 0.11, an internal time trend of growth (+ 0.09%/year), and an external time trend of decrease (- 0.06%/year). Finally, three risk factors and three protective factors that are associated with the epidemiological situation in the municipality were identified, being: race/brown color (OR: 1.26), without education (OR: 1.71), retired (OR: 1.35), 15 years or more of study (OR: 0.73), not having HIV (OR: 0.55) and not having diabetes (OR: 0.35). CONCLUSION: The importance of using spatial analysis tools in identifying areas that should be prioritized for TB control is highlighted, and greater attention is necessary for individuals who fit the profile indicated as "at risk" for the disease.

Identifying Hotspots of People Diagnosed of Tuberculosis with Addiction to Alcohol, Tobacco, and Other Drugs through a Geospatial Intelligence Application in Communities from Southern Brazil.

(1) Background: tuberculosis (TB) is considered one of the leading causes of death worldwide by a single infectious agent. This study aimed to identify hotspots of people diagnosed with tuberculosis and abusive use of alcohol, tobacco, and other drugs in communities through a geospatial intelligence application; (2) Methods: an ecological study with a spatio-temporal approach. We considered tuberculosis cases diagnosed and registered in the Notifiable Diseases Information System, which presented information on alcoholism, smoking, and drug abuse. Spatial Variations in Temporal Trends (SVTT) and scan statistics were applied for the identification of Hotspots; (3) Results: between the study period, about 29,499 cases of tuberculosis were reported. When we applied the SVTT for alcoholism, three Hotspots were detected, one of which was protective (RR: 0.08-CI95%: 0.02-0.32) and two at risk (RR: 1.42-CI95%: 1.11-1.73; RR: 1.39-CI95%: 1.28-1.50). Regarding smoking, two risk clusters were identified (RR: 1.15-CI95%: 1.01-1.30; RR: 1.68-CI95%: 1.54-1.83). For other drugs, a risk cluster was found (RR: 1.13-CI95%: 0.99-1.29) and two protections (RR: 0.70-CI95%: 0.63-0.77; RR: 0.76-CI95%: 0.65-0.89); (4) Conclusion: it was evidenced that in the communities being studied, there exists a problem of TB with drug addiction. The disordered use of these substances may harm a person's brain and behavior and lead to an inability to continue their treatment, putting the community at further risk for TB.

The burden of alcohol, tobacco and others drugs among incarcerated population diagnosed with tuberculosis: time trends and spatial determinants in Southern Brazil.

BACKGROUND: Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis and is a public health problem worldwide. It is estimated that 90% of the patients diagnosed with TB live in vulnerable environments with limited health resources, such as individuals living in correctional facilities. This study aimed to identify the consumption of alcohol, tobacco, and other drugs among prisoners diagnosed with TB and the spatial determinants and time trends of the phenomenon in southern Brazil. METHODS: A cross-sectional study using data from the Brazilian Notifiable Diseases Information System was carried out. TB cases confirmed from 2014 to 2018 in prisons located in Paraná, Brazil, were selected. The Prais-Winsten procedure was performed to identify time trends by calculating monthly rates and the percentage of monthly variation. The Seasonal-Trend by Loess decomposition method was used to verify the time series and trends. The spatial association was verified with the Getis-Ord Gi* technique, and the risk areas were identified using spatial scan statistics. RESULTS: A total of 1,099 TB cases were found in the studied population. The consumption of tobacco (n = 460; 41.9%), illegal drugs (n = 451; 41.0%), and alcohol (n = 179; 16.3%) stood out. An ascending trend was found for the consumption of alcohol (+ 19.4%/mo. (95%CI: 12.20-23.03)), tobacco (+ 20.2%/mo. (95%CI: 12.20-28.82)), and illegal drugs (+ 62.2%/mo. (95%CI: 44.54-81.97)). Spatial analysis revealed clusters for the use of alcohol, tobacco, and illegal drugs. CONCLUSIONS: This study advances knowledge presenting the burden of drug use and its typology among individuals diagnosed with TB in the prison system. There is a growing trend among patients to use drugs, especially illegal drugs. The clusters show differences between the places where the prisons are located.