The COVID-19 pandemic in Brazil: space-time approach of cases, deaths, and vaccination coverage (February 2020 - April 2024).

OBJECTIVE: To assess the evolution of the COVID-19 pandemic in Brazil and its macro-regions, considering disease incidence and mortality rates, as well as identifying territories with still rising disease indices and evaluating vaccine coverage and population adherence to COVID-19 immunization. METHODS: An ecological study conducted in Brazil with COVID-19 cases and deaths reported between February 2020 and April 2024, obtained through the Coronavirus Panel. Historical series were constructed from incidence and mortality rates to assess the pandemic's evolution, and temporal trends were estimated using the Seasonal Trend Decomposition using Loess (STL) method. The Spatial Variation in Temporal Trends (SVTT) technique was employed to identify clusters with significant variations in temporal trends. Vaccination was analyzed considering the percentage of vaccinated and unvaccinated population in each municipality of the country. RESULTS: Brazil recorded a total of 38,795,966 cases and 712,038 deaths from COVID-19 during the study period. Incidence and mortality rates showed three waves of the disease, with a fourth wave of smaller amplitude. Four clusters with significant case growth and two with increased deaths were identified. Vaccine coverage varied among municipalities, with some regions showing low vaccination rates and others with high immunization adherence. CONCLUSION: The study provided a comprehensive overview of coronavirus behavior in Brazil, and its results highlight the ongoing importance of vaccination and the need to direct efforts and resources to areas of higher risk.

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.

[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.

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.

Barriers That Interfere with Access to Tuberculosis Diagnosis and Treatment across Countries Globally: A Systematic Review.

This study evaluated the barriers that interfere with access to diagnosis and treatment of tuberculosis (TB) from the perspective of the patient and health professionals globally. Using the PICo acronym, the question we asked was "What are the barriers that interfere with access to tuberculosis diagnosis and treatment (I) from the perspective of patients and/or health professionals (P) across countries globally (Co)?". We searched the following databases: EMBASE, Scopus, MEDLINE, Latin American and Caribbean Literature in Health Sciences (LILACS), and Web of Science. On Rayyan, duplicates were removed and extraction was done afterward by two authors independently, followed by a tiebreaker. Using a Critical Appraisal Tool proposed by the Joanna Briggs Institute, the methodological quality of the article was assessed. From 36 published articles, the barriers to tuberculosis diagnosis as obtained from our study include information scarcity/low TB knowledge, exorbitant cost of transport, sample collection challenges, long distance to health facility, gender limitations, lack of decentralized diagnostic services, payment for diagnosis and testing, medication side effects, multiple visits during therapy, delayed diagnosis, poor human resources, low knowledge of medical practitioners, concerns regarding the efficacy of treatment, poor facility coordination, poor socioeconomic factors, fear and stigmatization of TB, and wrong initial diagnosis. The review of studies on TB diagnosis and treatment barriers evidences the diverse barriers to the eradication of tuberculosis. Eliminating these barriers is an onus that lies on policy makers, citizens, and health workers alike, with the joint aim of reducing the global TB burden.

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.

Morbimortalidade por COVID-19 associada a condições crônicas, serviços de saúde e iniquidades: evidências de sindemia

[RESUMO]. Objetivo. Identificar os fatores correlacionados à incidência e mortalidade por COVID-19 e verificar situações de sindemia em escala global. Métodos. Realizou-se um estudo ecológico de casos e óbitos confirmados de COVID-19 a partir de informações coletadas do European Center for Disease Prevention and Control em 2019 e 2020. Para a caracterização dos países, utilizaram-se indicadores do Banco Mundial e Worldometer Coronavirus. Foram realizadas análises descritivas e de correlação entre as variáveis independentes para posteriormente realizar o modelo de regressão linear múltipla, com o objetivo de identificar os fatores correlacionados à incidência e mortalidade por COVID-19. Resultados. Obtiveram-se dados de 185 países. A média da incidência dos casos foi de 16 482/mil habitantes, enquanto a média para mortalidade por COVID-19 foi de 291/mil habitantes, sendo América do Norte e Leste Asiático e Pacífico as regiões que apresentaram maiores e menores índices, respectivamente. Identificouse correlação positiva da taxa de incidência com proporção da população com idade de 15 a 64 anos, população urbana, desigualdade conforme Índice de Gini e com seis das sete regiões analisadas (exceto Leste Asiático e Pacífico). A taxa de mortalidade apresentou correlação negativa com a população de 0 a 14 anos e positiva com população urbana, desigualdade conforme índice de Gini e todas as regiões analisadas, exceto Leste Asiático e Pacífico. Conclusões. A morbimortalidade da COVID-19 esteve correlacionada à carga de condições crônicas, ao envelhecimento da população e à baixa capacidade dos serviços de saúde para testagem e oferta de leitos hospitalares, quadro agravado em países ou regiões com elevada desigualdade social, caracterizando uma situação de sindemia.

[ABSTRACT]. 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.

[RESUMEN]. 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.