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.

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.

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.

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.

[COVID-19 morbidity and mortality associated with chronic disorders, healthcare services, and inequity: evidence for a syndemicMorbimortalidad por COVID-19 asociada a los problemas crónicos de salud, los servicios de salud y las inequidades: evidencia de sindemia]. / Morbimortalidade por COVID-19 associada a condições crônicas, serviços de saúde e iniquidades: evidências de sindemia.

Objective: To identify factors correlated with the incidence and mortality from COVID-19 and investigate syndemic situations at the global level. Method: An ecologic study of confirmed COVID-19 cases and deaths was performed using information collected from the European Center for Disease Prevention and Control in 2019 and 2020. World Bank indicators and information obtained from Worldometer Coronavirus were used to characterize the countries. Descriptive analyses and correlations between independent variables were performed, followed by multiple linear regression analysis to identify factors correlated with COVID-19 incidence and mortality. Results: Data were obtained for 185 countries. Mean case incidence was 16 482/1,000 population, whereas mean COVID-19 mortality was 291/1,000 population, with the highest and lowest rates recorded in North America and East Asia and Pacific respectively. A positive correlation was identified between incidence rate and percent population aged 15 to 64 years, urban population, inequality measured by the Gini coefficient, and six out of the seven regions analyzed (except East Asia and Pacific). Mortality rate was negatively correlated with population aged 0 to 14 years and positively correlated with urban population, inequality measured by the Gini coefficient, and all regions analyzed except East Asia and Pacific. Conclusions: COVID-19 morbidity and mortality were correlated with the burden of chronic diseases, aging population, and low capacity of healthcare services for testing and providing hospital beds, a scenario complicated by social inequality in countries and regions, indicating a syndemic effect.

Objetivo: Identificar los factores correlacionados con la incidencia de COVID-19 y la mortalidad por esa causa y verificar las situaciones de sindemia a escala mundial. Métodos: Se realizó un estudio ecológico de casos de COVID-19 y de defunciones confirmadas por esa causa a partir de la información obtenida del Centro Europeo para la Prevención y el Control de las Enfermedades en el 2019 y el 2020. Para caracterizar a los países, se utilizaron indicadores del Banco Mundial y del sitio web de referencia Worldometer Coronavirus. Se hicieron análisis descriptivos y de correlación entre las variables independientes para crear posteriormente un modelo de regresión lineal múltiple con el fin de identificar los factores correlacionados con la incidencia de COVID-19 y la mortalidad por esa causa. Resultados: Se obtuvieron datos de 185 países. La tasa media de incidencia de casos de COVID-19 fue de 16 482 por mil habitantes y la tasa media de mortalidad por esa causa fue de 291 por mil habitantes. Las regiones de América del Norte y de Asia oriental y el Pacífico presentaron los mayores y menores índices, respectivamente. Se observó una correlación positiva de la tasa de incidencia con la proporción del grupo de 15 a 64 años de edad, la población urbana, la desigualdad medida por el coeficiente de Gini y seis de las siete regiones analizadas (excepto Asia oriental y el Pacífico). La tasa de mortalidad presentó una correlación negativa con el grupo de 0 a 14 años de edad y positiva con la población urbana, la desigualdad medida por el coeficiente de Gini y todas las regiones analizadas, excepto Asia oriental y el Pacífico. Conclusiones: La morbimortalidad por COVID-19 guardó una correlación con la carga de problemas crónicos de salud, el envejecimiento de la población y la poca capacidad de realizar pruebas en los servicios de salud y de ofrecer camas de hospital, cuadro agravado en los países o regiones con una elevada tasa de desigualdad social y característico de una situación de sindemia.

Causes of multidrug-resistant tuberculosis from the perspectives of health providers: challenges and strategies for adherence to treatment during the COVID-19 pandemic in Brazil.

BACKGROUND: Multidrug-resistant tuberculosis (MDR-TB) is a serious phenomenon on a global scale that can worsen with the COVID-19 pandemic. The study aimed to understand the perceptions of health professionals about MDR-TB, their strategies to ensure adherence to treatment and their challenges in the context of the COVID-19 pandemic in a priority municipality for disease control. METHODS: We conducted a qualitative study and recruited 14 health providers (four doctors, three nurses, three nursing technicians, three nursing assistants and a social worker) working in a city in the state of São Paulo, Brazil. Remote semi-structured interviews were conducted with the participants. For data analysis, the thematic content analysis technique was applied according to the study's theoretical framework. RESULTS: The study revealed the causes of MDR-TB are associated with poverty, vulnerability, and social risk. A pre-judgement from the providers was observed, namely, all patients do not adhere due their resistance and association with drug abuse or alcoholism. The study also observed difficulty among health providers in helping patients reconstruct and reframe their life projects under a care perspective, which would strengthen adherence. Other issues that weakened adherence were the cuts in social protection and the benefits really necessary to the patients and a challenge for the providers manage that. The participants revealed that their actions were impacted by the pandemic and insecurity and fear manifested by patients after acquiring COVID-19. For alleviating this, medical appointments by telephone, delivery of medicine in the homes of patients and visits by health professionals once per week were provided. CONCLUSION: The study advances knowledge by highlighting the challenges faced by the health system with the adherence of patients with MDR-TB in a context aggravated by the pandemic. An improvement in DOT is really necessary to help the patients reframe their lives without prejudices, face their fears and insecurity, recover their self-esteem and motivate in concluding their treatment.

Determinants of multidrug-resistant tuberculosis in São Paulo-Brazil: a multilevel Bayesian analysis of factors associated with individual, community and access to health services.

OBJECTIVE: Multidrug-resistant tuberculosis (MDR-TB) remains a serious public health problem worldwide. Accordingly, this study sought to identify individual, community and access to health services risk factors for MDR-TB. METHODS: Retrospective cohort of all TB cases diagnosed between 2006 and 2016 in the state of São Paulo. A Bayesian spatial hierarchical analysis with a multilevel design was carried out. RESULTS: It was identified that the history of previous TB treatment (Odds Ratios [OR]:13.86, 95% credibility interval [95% CI]:12.06-15.93), positive sputum culture test (OR: 5.26, 95% CI: 4.44-6.23), diabetes mellitus (OR: 2.34, 95% CI: 1.87-2.91), residing at a standard address (OR: 2.62, 95% CI: 1.91-3.60), positive sputum smear microscopy (OR: 1.74, 95% CI: 1.44-2.12), cavitary pulmonary TB (OR: 1.35, 95% CI: 1.14-1.60) and diagnosis performed due to spontaneous request (OR: 1.26; 95% CI: 1.10-1.46) were associated with MDR-TB. Furthermore, municipalities that performed HIV tests in less than 42.65% of patients with TB (OR: 1.50, 95% CI: 1.25-1.79), that diagnosed TB cases only after death (OR: 1.50, 95% CI: 1.17-1.93) and that had more than 20.16% of their population with income between » and ½ of one minimum wage (OR: 1.56, 95% CI: 1.30-1.87) were also related to the MDR-TB. CONCLUSIONS: Knowledge of these predictive factors may help to develop more comprehensive disease prevention strategies for MDR-TB, avoiding the risks expressed regarding drug resistance expansion.

OBJECTIF: La tuberculose multirésistante (TB-MDR) reste un grave problème de santé publique dans le monde. Cette étude visait à identifier les facteurs de risque individuels, communautaires et d'accès aux services de santé pour la TB-MDR. MÉTHODES: Analyse de cohorte rétrospective de tous les cas de TB diagnostiqués entre 2006 et 2016 dans l'Etat de São Paulo par analyse bayésienne spatiale à plusieurs niveaux. RÉSULTATS: Les antécédents de traitements antituberculeux (Rapports de cotes [OR]: 13,86, Intervalle de confiance à 95% [IC95%]: 12.06-15.93), un test de culture d'expectorations positif (OR: 5,26, IC95%: 4,44-6,23), le diabète sucré (OR: 2,34, IC95%: 1,87-2,91), la résidence à une adresse standard (OR: 2,62, IC95%: 1,91-3,60), la microscopie à frottis positif (OR: 1,74, IC95%: 1,44-2,12), la TB pulmonaire (OR: 1,35, IC95%: 1,14-1,60) et le diagnostic réalisé en raison d'une demande spontanée (OR: 1,26; IC95%: 1,10-1,46) étaient associés à la TB-MDR. Les municipalités qui ont effectué des tests de dépistage du VIH chez moins de 42,65% des patients atteints de TB (OR: 1,50, IC95%: 1,25-1,79), qui ont diagnostiqué des cas de TB uniquement après le décès (OR: 1,50, IC95%: 1,17-1,93) et qui avaient plus de 20,16% de leur population avec un revenu entre » et ½ d'un salaire minimum (OR: 1,56, IC95%: 1,30-1,87) étaient également associées à la TB-MDR. CONCLUSIONS: La connaissance de ces facteurs prédictifs peut aider à développer des stratégies plus complètes de prévention des maladies pour la TB-MDR, en évitant les risques d'extension de la résistance aux médicaments.

Leprosy in urban space, areas of risk for disability and worsening of this health condition in Foz Do Iguaçu, the border region between Brazil, Paraguay and Argentina.

BACKGROUND: Leprosy is a public health problem and a challenge for endemic countries, especially in their border regions where there are intense migration flows. The study aimed to analyse the dynamics of leprosy, in order to identify areas of risk for the occurrence of the disease and disability and places where this health condition is worsening. METHOD: This ecological study considered the new cases of leprosy reported in the municipality of Foz do Iguaçu from 2003 to 2015. Spatial and spatial-temporal scan statistics were used to identify the risk areas for the occurrence of leprosy, as well as the Getis-Ord Gi and Getis-Ord Gi* methods. Areas of risk for disabilities were identified by the scan statistic and kernel density estimation. RESULTS: A total of 840 cases were reported, of which 179 (21.3%) presented Grade 1 or 2 disabilities at the time of diagnosis. Leprosy risk areas were concentrated in the Southern, Eastern and Northeastern Health Districts of the municipality. The cases of Grade 2 disability were observed with higher intensity in regions characterized by high population density and poverty. CONCLUSION: The results of the study have revealed changes in the pattern of areas at risk of leprosy according to the investigated periods. In addition, it was possible to verify disabilities as a condition present in the investigated cases, or that may be related to the late diagnosis of the disease. In the areas of risk identified, patients have reported worse physical disability after diagnostic confirmation, or indicate inadequate clinical examination, reinforcing the need for structuring leprosy control services in a qualified manner.

Risk areas for tuberculosis among children and their inequalities in a city from Southeast Brazil.

BACKGROUND: The objective of the study was to identify areas of risk for the appearance of tuberculosis in children and their association with social inequalities in a municipality in southeastern Brazil. METHODS: Ecological study conducted in Ribeirão Preto, Brazil. To identify areas of spatial risk for tuberculosis in children, we used spatial scanning statistics. To analyze the association of cases of childhood tuberculosis with social vulnerability, we used the Social Vulnerability Index of São Paulo, and four explanatory statistical models were listed. RESULTS: There were 96 cases of childhood tuberculosis, of which 90 were geocoded through a process of converting addresses to geographic coordinates. A risk area was identified in the municipality, where children under 15 years old have 3.14 times greater risk of contracting tuberculosis than those living outside this area. The variables identified as risk factors were: number of private and collective households, proportion of children aged 0 to 5 years in the population, proportion of households without per capita income, and the proportion of private households with monthly nominal incomes of up to one quarter of wage minimums. The variables identified as protection factors were the proportion of women under the age of 30 years responsible for the household under and women responsible for the household with an average income over BRL 2344. CONCLUSION: The study showed areas of risk for the occurrence of tuberculosis in children. The study is in line with the End TB Strategy and the 2030 Agenda, which aim to support strategic actions and, therefore, save the lives of children through the systematic, intensified, and comprehensive identification of children with tuberculosis respiratory symptoms in the community.

Detection of risk clusters for deaths due to tuberculosis specifically in areas of southern Brazil where the disease was supposedly a non-problem.

BACKGROUND: Tuberculosis (TB) is the infectious disease that kills the most people worldwide. The use of geoepidemiological techniques to demonstrate the dynamics of the disease in vulnerable communities is essential for its control. Thus, this study aimed to identify risk clusters for TB deaths and their variation over time. METHODS: This ecological study considered cases of TB deaths in residents of Londrina, Brazil between 2008 and 2015. We used standard, isotonic scan statistics for the detection of spatial risk clusters. The Poisson discrete model was adopted with the high and low rates option used for 10, 30 and 50% of the population at risk, with circular format windows and 999 replications considered the maximum cluster size. Getis-Ord Gi* (Gi*) statistics were used to diagnose hotspot areas for TB mortality. Kernel density was used to identify whether the clusters changed over time. RESULTS: For the standard version, spatial risk clusters for 10, 30 and 50% of the exposed population were 4.9 (95% CI 2.6-9.4), 3.2 (95% CI: 2.1-5.7) and 3.2 (95% CI: 2.1-5.7), respectively. For the isotonic spatial statistics, the risk clusters for 10, 30 and 50% of the exposed population were 2.8 (95% CI: 1.5-5.1), 2.7 (95% CI: 1.6-4.4), 2.2 (95% CI: 1.4-3.9), respectively. All risk clusters were located in the eastern and northern regions of the municipality. Additionally, through Gi*, hotspot areas were identified in the eastern and western regions. CONCLUSIONS: There were important risk areas for tuberculosis mortality in the eastern and northern regions of the municipality. Risk clusters for tuberculosis deaths were observed in areas where TB mortality was supposedly a non-problem. The isotonic and Gi* statistics were more sensitive for the detection of clusters in areas with a low number of cases; however, their applicability in public health is still restricted.

How do social-economic differences in urban areas affect tuberculosis mortality in a city in the tri-border region of Brazil, Paraguay and Argentina.

BACKGROUND: The World Health Organization (WHO) launched the "End TB Strategy", which aims to reduce tuberculosis (TB) mortality by 95% by 2035, Brazil has made a commitment to this, however, one challenge is achieving the goal in the border region, where the TB situation is more critical. The proposal was to analyse the spatial mortality due to TB and its socio-economic determinants in the general population, around the border areas of Brazil, Paraguay and Argentina, as well as the temporal trend in this region. METHOD: This ecological study considered the cases of TB deaths of residents of Foz do Iguaçu (BR), with its units of analysis being the census sectors. The standardized mortality rate was calculated for each area. Socioeconomic variables data were obtained from the 2010 Demographic Census of the Brazilian Institute of Geography and Statistics (IBGE). The scan statistic was applied to calculate the spatial relative risk (RR), considering a 95% confidence interval (CI). Spatial dependence was analysed using the Global Bivariate Moran I and Local Bivariate Moran I (LISA) to test the relationship between the socioeconomic conditions of the urban areas and mortality from TB. Analysis of the temporal trend was also performed using the Prais-Winsten test. RESULTS: A total of 74 cases of TB death were identified, of which 53 (71.6%) were male and 51 (68.9%) people of white skin colour. The mortality rate ranged from 0.28 to 22.75 cases per 100,000 inhabitants. A spatial relative risk area was identified, RR = 5.07 (95% CI 1.79-14.30). Mortality was associated with: proportion of people of brown skin colour (I: 0.0440, p = 0.033), income (low income I: - 0.0611, p = 0.002; high income I: - 0.0449, p = 0.026) and density of residents (3 and 4 residents, I: 0.0537, p = 0.007; 10 or more residents, I: - 0.0390, p = 0.035). There was an increase in the mortality rate in people of brown skin colour (6.1%; 95% CI = 0.029, 0.093). CONCLUSION: Death due to TB was associated with income, race resident density and social conditions. Although the TB mortality rate is stationary in the general population, it is increasing among people of brown skin colour.

[Family Health Strategy, private health care, and inequalities in access to mammography in BrazilEstrategia de Salud Familiar, salud suplementaria y desigualdad en el acceso a la mamografía en Brasil]. / Estratégia Saúde da Família, saúde suplementar e desigualdade no acesso à mamografia no Brasil.

OBJECTIVE: To evaluate the association between access to mammography and coverage by private health insurance or by the public healthcare system through the Family Health Strategy (FHS). METHOD: An ecological study was performed with data obtained from the Unified Health System Data Processing Department (DATASUS). Time trends were analyzed using the Prais-Winsten method, having the Brazilian federal units as units of analysis. Multiple linear regression was used to investigate the relationship between the dependent variable - women aged 50 to 69 years who never had a mammogram - and the independent variables (coverage by the FHS or private health care and socioeconomic aspects). RESULTS: Acre was the only Brazilian state for which an increasing growth trend in private health care was not observed. Roraima, Tocantins, Maranhão, Piauí, Rio Grande do Norte, and Paraíba showed a stable trend for FHS coverage, whereas all other federal units had increasing coverage. A significant association was observed between never having had a mammogram at 50 to 69 years of age and the variables mean per capita income and FHS and private health care coverage (R2 = 0.77; P < 0.001). CONCLUSION: Unequal access to mammography is a reality in Brazil. Both private health care and the FHS have contributed to improve health care accessibility for Brazilian women.

OBJETIVO: Evaluar la asociación entre el acceso a la mamografía en Brasil y la cobertura prestada por la Estrategia de Salud Familiar (ESF) y por la salud suplementaria. MÉTODOS: Se realizó un estudio ecológico con datos obtenidos del Departamento de Informática del Sistema Único de Salud (DATASUS). La tendencia de la serie temporal fue analizada mediante el método de Prais-Winsten utilizando como unidades de análisis las entidades federativas brasileñas. Para investigar la relación entre la variable dependiente ­mujeres de 50 a 69 años que nunca se habían realizado una mamografía­ y las independientes, de cobertura por la ESF o salud suplementaria y las variables socioeconómicas, se realizó un análisis de regresión lineal múltiple. RESULTADOS: Acre fue el único estado que no presentó una tendencia creciente para la cobertura por la salud suplementaria. Roraima, Tocantins, Maranhão, Piauí, Rio Grande do Norte y Paraíba presentaron una tendencia estacionaria para la cobertura por la ESF, mientras que las otras entidades federativas mostraron una cobertura en ascenso. Se observó una asociación significativa entre el hecho de nunca haberse realizado una mamografía entre los 50 y los 69 años y las variables renta media per cápita, cobertura por la ESF y la salud suplementaria (R2 = 0,77; P <0,001). CONCLUSIÓN: En Brasil, la desigualdad en el acceso a la mamografía es una realidad. Tanto la salud suplementaria como la Estrategia de Salud Familiar han contribuido a mejorar el acceso de estas mujeres a la mamografía.

Integrated health service delivery networks and tuberculosis avoidable hospitalizations: is there a relation between them in Brazil?

BACKGROUND: The early identification of the Breathing Symptoms within the scope of Primary Health Care is recommended, and is also one of the strategies of national sanitary authorities for reaching the elimination of tuberculosis. The purpose of this study is to consider which attributes and which territories have shown the most significant progress in Primary Health Care, in terms of coordination of Health Care Networks, and also check if those areas of Primary Health Care that are most critical regarding coordination, there were more or less cases of avoidable hospitalizations for tuberculosis. METHODS: This is an ecological study that uses primary and secondary data. For analysis, coropletic maps were developed through the ArcGIS software, version 10.2. There was also the calculation of gross annual and Bayesian rates for hospitalizations for tuberculosis, for each Primary Health Care territory. RESULTS: There were satisfactory results for attributes such as Population (n = 37; 80.4 %), Primary Health Care (n = 43; 93.5 %), Support System (n = 45; 97.8 %); the exceptions were Logistics System (n = 32; 76.0 %) and Governance System, with fewer units in good condition (n = 31; 67.3 %). There is no evidence of any connection between networks' coordination by Primary Health Care and tuberculosis avoidable admissions. CONCLUSION: The results show that progress has been made regarding the coordination of the Health Care Networks, and a positive trend has been shown, even though the levels are not excellent. It was found no relationship between the critical areas of Primary Health Care and tuberculosis avoidable hospitalizations, possibly because other variables necessary to comprehend the phenomena.

Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, Maranhão.

OBJECTIVES: to analyze the risk areas for tuberculosis and the influences of social protection on the development of treatment for the disease in the municipality of São Luís, Maranhão. METHODS: this is explanatory sequential mixed method research. In the quantitative phase, the data were obtained from the Notifiable Diseases Information System from 2010 to 2019, with georeferencing being carried out to identify areas vulnerable to tuberculosis. In the qualitative phase, semi-structured interviews were carried out with individuals who received social benefits. RESULTS: 7,381 cases were geocoded, and, from the purely spatial scanning analysis, it was possible to identify 13 spatial clusters of risk. As for the interviews, there was a positive relationship between patient improvement and receiving benefits. CONCLUSIONS: geographic space and social determinants are relevant for reorienting monitoring actions for the conditions that generate the health-disease process.

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.

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.

Operational indicators for pulmonary tuberculosis diagnosis in people living with HIV before and after Xpert MTB/RIF implementation in the state of São Paulo, Brazil.

Tuberculosis (TB) in people living with HIV (PLHIV) is usually paucibacillary and the smear microscopy has limitations and may lead to high proportions of non-confirmed pulmonary tuberculosis (NC-PTB). Despite culture being the reference method, it usually takes 6 to 8 weeks to produce the results. This study aimed to analyze the effect of a rapid molecular test (Xpert) in the confirmatory rate of PTB among PLHIV, from 2010 to 2020, in São Paulo state, Brazil. This is an ecological study with time series analysis of the trend and the NC-PTB rates before and after Xpert implementation in 21 municipalities. The use of Xpert started and gradually increased after 2014, while the rate of NC-PTB in PLHIV decreased over this time, being more significant between late 2015 and mid-2017. The city of Ribeirão Preto stands out for having the highest percentage (75.0%) of Xpert testing among PLHIV and for showing two reductions in the NC-PTB rate. The cities with low Xpert coverage had a slower and smaller decrease in the NC-PTB rate. Despite being available since 2014, a significant proportion of PLHIV suspected of PTB in the state of São Paulo did not have an Xpert ordered by the doctors. The implementation of Xpert reduced the NC-PTB rates with growing effect as the coverage increased in the municipality.

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.

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.