Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil.

Despite the considerable morbidity and mortality of yellow fever virus (YFV) infections in Brazil, our understanding of disease outbreaks is hampered by limited viral genomic data. Here, through a combination of phylogenetic and epidemiological models, we reconstructed the recent transmission history of YFV within different epidemic seasons in Brazil. A suitability index based on the highly domesticated Aedes aegypti was able to capture the seasonality of reported human infections. Spatial modeling revealed spatial hotspots with both past reporting and low vaccination coverage, which coincided with many of the largest urban centers in the Southeast. Phylodynamic analysis unraveled the circulation of three distinct lineages and provided proof of the directionality of a known spatial corridor that connects the endemic North with the extra-Amazonian basin. This study illustrates that genomics linked with eco-epidemiology can provide new insights into the landscape of YFV transmission, augmenting traditional approaches to infectious disease surveillance and control.

Changes in the pattern of health services use in Brazil between 2013 and 2019. / Mudanças no padrão de utilização de serviços de saúde no Brasil entre 2013 e 2019.

This study aimed to investigate changes in the health service use pattern based on information from the 2013 and 2019 National Health Surveys (PNS). The two outcomes, "Seeking health-related care in the past two weeks" and "Medical visit in the last twelve months", were analyzed according to socioeconomic, geographic and health conditions characteristics. Multivariate Poisson regression models were used to investigate the factors associated with seeking care due to a health problem or prevention. The prevalence of chronic diseases increased from 15.0% to 22.5% between 2013 and 2019. The proportion of seeking care increased from 15.3 to 18.6%, and medical visits from 71.2% to 76.2%, ranging from 61.4 to 75.8% and 68.0 to 80.6% between the North and Southeast regions. There was no significant association of seeking care due to a health problem with per capita income, after controlling for the other covariates. We conclude by saying that, despite the expanded coverage of health service use, the persistent regional inequalities indicate unmet health needs among residents of the less developed regions. Health care models focused on prevention and health promotion are required.

Este estudo teve o objetivo de comparar os padrões de utilização de serviços de saúde, a partir das informações das edições da Pesquisa Nacional de Saúde (PNS), 2013 e 2019. Os dois desfechos "Procura de atendimento relacionado à saúde nas últimas duas semanas" e "Consulta médica nos últimos doze meses" foram analisados segundo fatores socioeconômicos, geográficos, e condições de saúde. Foram usados modelos multivariados de regressão de Poisson para investigar os fatores associados à procura de atendimento de acordo com o motivo (problema de saúde ou prevenção). Entre 2013 e 2019, a prevalência de doenças crônicas aumentou de 15,0% a 22,5%. A proporção de busca de atendimento cresceu de 15,3 a 18,6%, e de uso de médico, de 71,2% a 76,2%, com amplitudes de variação de 61,4-75,8% e 68,0-80,6% entre as regiões Norte e Sudeste. Para atendimento por problema de saúde, não houve associação significativa com rendimento per capita, após o controle das demais covariáveis. Conclui-se que apesar da expansão da cobertura de utilização de serviços de saúde, as persistentes desigualdades regionais indicam necessidades de saúde não atendidas entre os residentes das regiões menos desenvolvidas. Modelos de atenção focados na prevenção e promoção da saúde são necessários.

Health insurance coverage in Brazil: analyzing data from the National Health Survey, 2013 and 2019. / Cobertura de plano de saúde no Brasil: análise dos dados da Pesquisa Nacional de Saúde 2013 e 2019.

This paper aimed to describe health insurance coverage in Brazil. Data from the 2013 and 2019 editions of the National Health Survey (PNS) were analyzed. The medical or dental health insurance coverage was analyzed according to demographic and socioeconomic characteristics, work status, urban/rural area, and Federation Unit. Coverage of medical or dental health insurance was 27.9% (95% CI: 27.1-28.8) for 2013 and 28.5% (95% CI: 27.8-29.2) for 2019. The results show coverage is still concentrated in large urban centers, in the Southeast and South, among those with better socioeconomic status and some formal employment. In 2019, only 30.7% of formal workers reported the monthly payment is made directly to the providers, while 72.7% of informal workers reported this information. About 92% of medical health insurance covers hospitalization, and almost 20% of women with health insurance are not covered for labor. Only 11.7% of women aged between 15 and 44 are covered for childbirth by health insurance. The results show the health insurance coverage is still quite unequal, reinforcing the Unified Health System (SUS) importance for the Brazilian population.

Este artigo objetivou descrever a cobertura de plano de saúde no Brasil. Foram analisados dados das edições de 2013 e 2019 da Pesquisa Nacional de Saúde. A cobertura de plano de saúde médico ou odontológico foi analisada segundo características sociodemográficas, econômicas, de trabalho, situação censitária e Unidade da Federação. A cobertura de plano de saúde médico ou odontológico foi 27,9% (IC95%: 27,1-28,8) para 2013 e 28,5% (IC95%: 27,8-29,2) para 2019. Os resultados mostram que a cobertura continua concentrada nos grandes centros urbanos, nas regiões Sudeste e Sul, entre aqueles com melhor nível socioeconômico e aqueles que possuem algum vínculo de trabalho formal. Em 2019, dentre os trabalhadores formalizados, somente 30,7% relatou que o pagamento da mensalidade é feito diretamente a operadora, sendo 72,7% dentre os trabalhadores informais. Cerca de 92% dos planos de saúde médico cobrem internação e dentre as mulheres com plano de saúde, quase 20% delas não possuem cobertura para o parto. Apenas 11,7% das mulheres com idade entre 15 e 44 anos possuem cobertura para o parto através do plano de saúde. Os resultados mostram que a cobertura por plano de saúde mantém-se bastante desigual, reforçando a importância do Sistema Único de Saúde para a população brasileira.

Characteristics, outcomes and risk factors for mortality of 522 167 patients hospitalised with COVID-19 in Brazil: a retrospective cohort study.

OBJECTIVE: To provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil. DESIGN: Retrospective cohort study of hospitalised patients diagnosed with COVID-19. SETTING: Data from all hospitals across Brazil. PARTICIPANTS: 522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19. PRIMARY AND SECONDARY OUTCOME MEASURES: Prevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression. RESULTS: Of the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47-73), and of non-survivors 71 years (IQR, 60-80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3-9) and 7 days (IQR, 3-10), respectively; 15 days (IQR, 9-24) to death and 15 days (IQR, 11-20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20. CONCLUSIONS: Characteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.

List of priority congenital anomalies for surveillance under the Brazilian Live Birth Information System. / Lista de anomalias congênitas prioritárias para vigilância no âmbito do Sistema de Informações sobre Nascidos Vivos do Brasil.

OBJECTIVE: To define the list of priority congenital anomalies for improving their recording on the Brazilian Live Birth Information System (Sinasc). METHODS: Based on the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), international protocols and meetings with specialists, the list of priority anomalies was built considering two main criteria: being diagnosable at birth and having intervention available at different levels. The list was submitted for consideration by the Brazilian Medical Genetics and Genomics Society. RESULTS: The list comprised eight groups of congenital anomalies distributed according to the type of related anomaly, as well as the affected part of the body and its corresponding code in ICD-10 Chapter XVII. CONCLUSION: The list of priority congenital anomalies for notification provides a basis for improving case recording on Sinasc.

List of priority congenital anomalies for surveillance under the Brazilian Information System on Live Births / Lista de anomalías congénitas prioritarias para la vigilancia bajo el Sistema de Información sobre Nacimientos Vivos en Brasil / Lista de anomalias congênitas prioritárias para vigilância no âmbito do Sistema de Informações sobre Nascidos Vivos do Brasil

Objective: To define the list of priority congenital anomalies for improving the registration in the Brazilian Live Birth Information System (Sinasc). Methods: Based on International Classification of Diseases, Tenth Revision (ICD-10), internation protocols and meetings with specialists, the list of priority anomalies was built considering two main criteria: being diagnosable at birth and having intervention available at different levels. The list was submitted for consideration by the Brazilian Society of Medical Genetics and Genomics. Results: The list comprised eight groups of congenital anomalies distributed according to the type of anomaly related, as well as the affect body part, all of which were related to some code of chapter XVII of ICD-10. Conclusion: The list of priority congenital anomalies for notification provides subsidies for improving registration at Sinasc.

Objetivo: Definir a lista de anomalias congênitas prioritárias para o aprimoramento do registro no Sistema de Informações sobre Nascidos Vivos (Sinasc). Métodos: A partir da Décima Revisão da Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde (CID-10), protocolos internacionais e reuniões com especialistas, a lista de anomalias prioritárias foi construída considerando-se dois critérios principais: ser diagnosticável ao nascimento; e possuir intervenção disponível em diferentes níveis. A lista foi submetida a apreciação da Sociedade Brasileira de Genética Médica e Genômica. Resultados: Compuseram a lista oito grupos de anomalias distribuídos de acordo com o tipo de anomalia relacionada, bem como a parte do corpo afetada e sua correspondência ao código do capítulo XVII da CID-10. Conclusão: A lista de anomalias congênitas prioritárias para notificação fornece subsídios para o aprimoramento do registro no Sinasc.

Temporal trend of overweight and obesity prevalence among Brazilian adults, according to sociodemographic characteristics, 2006-2019. / Tendência temporal da prevalência do excesso de peso e obesidade na população adulta brasileira, segundo características sociodemográficas, 2006-2019.

OBJETIVO: To analyze the temporal trend of overweight and obesity prevalence rates among adults in the Brazilian state capitals and Federal District between 2006 and 2019. METHODS: This was a time series study using data from the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey, 2006-2019 (n=730,309). Prevalence of overweight and obesity for each of the years was analyzed, according to combined sex, age, and schooling. Temporal variation trend was analyzed using Prais-Winsten regression. RESULTS: Variations in overweight prevalence were observed, mainly among males 18-24 years old with up to 8 years of schooling (3.17%/year) and among women between 18-24 years old with more than 12 or more years of schooling (6.81% /year). Variations in obesity prevalence were found mainly among women 18-24 years old with more than 12 years of schooling (10.79%/year). CONCLUSION: There was an increase in overweight and obesity in most of the socio-demographic strata studied, especially among more educated young people.

Lista de anomalias congênitas prioritárias para vigilância no âmbito do Sistema de Informações sobre Nascidos Vivos do Brasil / Lista de anomalías congénitas prioritarias para la vigilancia bajo el Sistema de Información sobre Nacidos Vivos en Brasil / List of priority congenital anomalies for surveillance under the Brazilian Live Birth Information System

Objetivo: Definir a lista de anomalias congênitas prioritárias para o aprimoramento do registro no Sistema de Informações sobre Nascidos Vivos (Sinasc). Métodos: A partir da Décima Revisão da Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde (CID-10), protocolos internacionais e reuniões com especialistas, a lista de anomalias prioritárias foi construída considerando-se dois critérios principais: ser diagnosticável ao nascimento; e possuir intervenção disponível em diferentes níveis. A lista foi submetida a apreciação da Sociedade Brasileira de Genética Médica e Genômica. Resultados: Compuseram a lista oito grupos de anomalias congênitas distribuídos de acordo com o tipo de anomalia relacionada, bem como a parte do corpo afetada e sua correspondência ao código do capítulo XVII da CID-10. Conclusão: A lista de anomalias congênitas prioritárias para notificação fornece subsídios para o aprimoramento do registro no Sinasc.

Objetivo: Definir la lista de anomalías congénitas prioritarias para perfeccionar el registro en el Sistema de Información de Nacidos Vivos (Sinasc). Métodos: Con base en la Clasificación Internacional de Enfermedades, Décima Revisión (CIE-10), protocolos internacionales y reuniones con especialistas, la lista de anomalías prioritarias se construyó considerando dos criterios principales: ser diagnosticables al nacer y tener intervención disponible en diferentes niveles. La lista fue sometida a la consideración de la Sociedad Brasileña de Genética y Genómica Médica. Resultados: La lista comprendía ocho grupos de anomalías congénitas distribuidos según el tipo de anomalía relacionada, así como la parte del cuerpo afectada, todos ellos relacionados con algún código del capítulo XVII de la CIE-10. Conclusión: La lista de anomalías congénitas prioritarias para notificación proporciona subsidios para mejorar el registro en Sinasc.

Objective: To define the list of priority congenital anomalies for improving their recording on the Brazilian Live Birth Information System (Sinasc). Methods: Based on the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), international protocols and meetings with specialists, the list of priority anomalies was built considering two main criteria: being diagnosable at birth and having intervention available at different levels. The list was submitted for consideration by the Brazilian Medical Genetics and Genomics Society. Results: The list comprised eight groups of congenital anomalies distributed according to the type of related anomaly, as well as the affected part of the body and its corresponding code in ICD-10 Chapter XVII. Conclusion: The list of priority congenital anomalies for notification provides a basis for improving case recording on Sinasc.

Tendência temporal da prevalência do excesso de peso e obesidade na população adulta brasileira, segundo características sociodemográficas, 2006-2019 / Tendencia temporal de la prevalencia de sobrepeso y obesidad en la población adulta brasileña, según características sociodemográficas, 2006-2019 / Temporal trend of overweight and obesity prevalence among Brazilian adults, according to sociodemographic characteristics, 2006-2019

Objetivo: Analisar a tendência temporal das prevalências de excesso de peso e obesidade nas capitais brasileiras e no Distrito Federal, 2006-2019. Métodos: Série temporal, sobre dados do Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (n=730.309). Analisaram-se as prevalências de excesso de peso e obesidade para cada ano, segundo a combinação de sexo, faixas etárias e níveis de escolaridade. A variação temporal foi analisada por regressão de Prais-Winsten. Resultados: Observaram-se variações das prevalências de excesso de peso, principalmente em homens com 18-24 anos de idade e até 8 anos de estudo (3,17%/ano), e em mulheres de 18-24 anos e ≥12 anos de estudo (6,81%/ano). Observaram-se variações na prevalência de obesidade, principalmente entre mulheres de 18-24 anos e escolaridade ≥12 anos (10,79%/ano). Conclusão: Verificou-se aumento do excesso de peso e obesidade na maioria dos estratos sociodemográficos, especialmente entre jovens de maior escolaridade.

Objetivo: Analizar la tendencia temporal de la prevalencia de sobrepeso y obesidad entre adultos en las capitales brasileñas y el Distrito Federal, 2006-2019. Métodos: Serie temporal con datos del Sistema de Vigilancia de Factores de Riesgo y Protección de Enfermedades Crónicas por Encuesta Telefónica, 2006-2019 (n=730.309). Se analizaron, para cada uno de los años la prevalencia de sobrepeso y la obesidad, de acuerdo con las características combinadas de sexo, grupo de edad y nivel educativo. Se analizó la variación temporal por el modelo de regresión de Prais-Winsten. Resultados: otalizaron 730.309 entrevistas en el período. Se observaron variaciones en la prevalencia de sobrepeso, principalmente en hombres, entre 18-24 años, con hasta 8 años de estudio (3,17%/año) y en mujeres, 18-24 años y ≥12 años de estudio (6,81%/año). Se observaron variaciones en la prevalencia de obesidad, principalmente entre mujeres, 18-24 años y ≥12 años de estudio (10,79%/año). Conclusión: Hubo un aumento en el sobrepeso y la obesidad en la mayoría de los estratos sociodemográficos estudiados, especialmente en los jóvenes con más estudio.

Objetivo: To analyze the temporal trend of overweight and obesity prevalence rates among adults in the Brazilian state capitals and Federal District between 2006 and 2019. Methods: This was a time series study using data from the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey, 2006-2019 (n=730,309). Prevalence of overweight and obesity for each of the years was analyzed, according to combined sex, age, and schooling. Temporal variation trend was analyzed using Prais-Winsten regression. Results: Variations in overweight prevalence were observed, mainly among males 18-24 years old with up to 8 years of schooling (3.17%/year) and among women between 18-24 years old with more than 12 or more years of schooling (6.81% /year). Variations in obesity prevalence were found mainly among women 18-24 years old with more than 12 years of schooling (10.79%/year). Conclusion: There was an increase in overweight and obesity in most of the socio-demographic strata studied, especially among more educated young people.

Congenital anomalies from the health surveillance perspective: compilation of a list based on ICD-10. / Anomalias congênitas na perspectiva da vigilância em saúde: compilação de uma lista com base na CID-10.

OBJECTIVE: To propose a list of congenital anomalies having corresponding codes in the International Statistical Classification of Diseases and Related Health Problems, 10thRevision (ICD-10), with the aim of applying it in health surveillance. METHODS: In December 2019, the following data sources were searched: ICD-10; ICD-11; anomalies monitored by three surveillance programs; and a database of rare diseases (Orphanet). Anomalies were retrieved from these data sources, processed to check for correspondence with ICD-10 and reviewed manually to compile the list. RESULTS: 898 codes were identified, of which 619 (68.9%) were contained in ICD-10 Chapter XVII. Of the 279 codes contained in other chapters, 19 were exclusive to the ICD-11 search, 72 to the surveillance programs, 79 to Orphanet and 36 to the search for terms in ICD-10. CONCLUSION: The codes contained in ICD-10 Chapter XVII do not capture the totality of congenital anomalies, indicating the need to adopt an expanded list.

National Health Survey 2019: history, methods and perspectives. / Pesquisa Nacional de Saúde 2019: histórico, métodos e perspectivas.

This article presents the history and construction of the National Health Survey (PNS) 2019, a household survey conducted in partnership with the Brazilian Institute of Geography and Statistics. The objective of PNS 2019 was to provide the country with information on the health determinants, conditionants and needs of the Brazilian population. The expected sample was 108,525 households, considering a 20% non-response rate. The questionnaire had three parts, covering: (i) the household; (ii) all residents of the household, focusing on collection of socioeconomic and health information; and (iii) the selected resident (15 years old or more) for whom lifestyles, chronic diseases, violence, among other topics were investigated, as well as their anthropometric measurements (subsample). The information provided by PNS 2019 will serve as a basis for the (re)formulation of health policies, as well as support for existing actions and programs of the Brazilian National Health System.

Este artigo apresenta o histórico e a construção da Pesquisa Nacional de Saúde (PNS) 2019, inquérito de base domiciliar realizado em parceria com o Instituto Brasileiro de Geografia e Estatística. O objetivo da PNS 2019 foi dotar o país de informações sobre os determinantes, condicionantes e necessidades de saúde da população brasileira. A amostra prevista foi de 108.525 domicílios particulares, considerando-se uma taxa de não resposta de 20%. Seu questionário continha três partes, orientadas para (i) o domicílio, (ii) todos os moradores do domicílio, com enfoque na coleta de informações socioeconômicas e de saúde, e (iii) o morador selecionado (idade ≥15 anos), sendo investigados estilos de vida, doenças crônicas, violências, entre outros temas, e aferidas medidas antropométricas (subamostra). As informações da PNS 2019 servirão de base para a (re)formulação de políticas de saúde e subsídio a ações e programas existentes do Sistema Único de Saúde.

Este artículo presenta la historia y la construcción de la Encuesta Nacional de Salud (PNS) 2019, una encuesta domiciliaria realizada en colaboración con el Instituto Brasileño de Geografía y Estadística. El objetivo de la PNS fue proporcionar al país información sobre los determinantes, las condiciones y las necesidades de salud de la población brasileña. La muestra esperada fue de 108.525 hogares particulares, considerando una tasa de no respuesta del 20%. Su cuestionario contenía tres partes: (i) con respecto al hogar; (ii) dirigido a todos los residentes, centrándose en la recopilación de información socioeconómica y de salud; y (iii) al residente seleccionado (15 años o más) de quien se investigó estilos de vida, enfermedades crónicas, violencia, entre otros temas y se compararon las medidas antropométricas (submuestra). La información de la PNS 2019 servirá como base para la (re)formulación de políticas de salud y para apoyar acciones y programas existentes en el Sistema Único de Salud.

Temporal trend of the prevalence of overweight and obesity in the Brazilian adults, according to sociodemographic characteristics, 2006- 2019 / Tendencia temporal de la prevalencia de sobrepeso y obesidad en la población adulta brasileña, según características sociodemográficas, 2006-2019 / Tendência temporal da prevalência do excesso de peso e obesidade na população adulta brasileira, segundo características sociodemográficas, 2006-2019

Objective: To analyze the temporal trend of overweight and obesity prevalences, among adults in Brazilian capitals and the Federal District, 2006-2019. Methods: Time series using data from the Surveillance System for Risk and Protection Factors for Chronic Diseases by Telephone Survey, 2006-2019 (n=730,309). The prevalence of overweight and obesity for each of the years was analyzed, according to characteristics of sex, age, and schooling combined. The temporal trend was analyzed by PraisWinsten regression. Results: Variations in the prevalence of overweight were observed, mainly, in men, 18-24 years old with less than 8 years of study (3.17%/year) and women, between 18-24 years old with more than 12 years of study (6.81% /year). Bigger increases in the prevalence of obesity were observed, mainly, in women, 18-24 years old with more than 12 years of study (10.79%/year). Conclusion: There was an increase in overweight and obesity in most of the studied socio-demographic strata, especially in more educated young people

Objetivo: Analisar a tendência temporal das prevalências de excesso de peso e obesidade nas capitais brasileiras e no Distrito Federal, Brasil, 2006-2019. Métodos: Série temporal, sobre dados do Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (n=730.309). Analisou-se as prevalências de excesso de peso e obesidade para cada ano, segundo a combinação de sexo, faixas etárias e níveis de escolaridade. A variação temporal foi analisada por regressão de Prais-Winsten. Resultados: Observaram-se variações das prevalências de excesso de peso, principalmente em homens com 18-24 anos de idade e até 8 anos de estudo (3,17%/ano), e em mulheres de 18-24 anos e ≥12 anos de estudo (6,81%/ano). Observaram-se variações na prevalência de obesidade, principalmente entre mulheres de 18-24 anos e escolaridade ≥12 anos (10,79%/ano). Conclusão: Verificou-se aumento do excesso de peso e obesidade na maioria dos estratos sociodemográficos, especialmente entre jovens de maior escolaridade.

Description of COVID-19 hospitalized health worker cases in the first nine weeks of the pandemic, Brazil, 2020. / Descrição dos casos hospitalizados pela COVID-19 em profissionais de saúde nas primeiras nove semanas da pandemia, Brasil, 2020.

OBJECTIVE: To describe COVID-19 hospitalized health worker cases in Brazil. METHODS: This was a descriptive case series study; it included cases that became ill between February 21st and April 15th, 2020 registered on the Influenza Surveillance Information System (SIVEP-Gripe, acronym in Portuguese). RESULTS: Of the 184 cases, 110 (59.8%) were female and median age was 44 years (min-max: 23-85); 89 (48.4%) were nursing professionals and 50 (27.2%) were doctors. Ninety-two (50.0%) presented comorbidity, with heart disease predominating (n=37; 40.2%). Of the 112 professionals with a record of case progression, 85 (75.9%) were cured and 27 (24.1%) died, 18 of whom were male. CONCLUSION: The profile of COVID-19 hospitalized health workers is similar to that of the general population with regard to age and comorbidities, but different in relation to sex. The most affected areas were nursing and medicine.

Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017.

BACKGROUND: The present study sought to analyze smoking prevalence and smoking-attributable mortality estimates produced by the 2017 Global Burden of Disease Study for Brazil, 26 states, and the Federal District. METHODS: Prevalence of current smokers from 1990 to 2017 by sex and age was estimated using spatiotemporal Gaussian process regression. Population-attributable fractions were calculated for different risk-outcome pairs to generate estimates of smoking-attributable mortality. A cohort analysis of smoking prevalence by birth-year cohort was performed to better understand temporal age patterns in smoking. Smoking-attributable mortality rates were described and analyzed by development at state levels, using the Socio-Demographic Index (SDI). Finally, a decomposition analysis was conducted to evaluate the contribution of different factors to the changes in the number of deaths attributable to smoking between 1990 and 2017. RESULTS: Between 1990 and 2017, prevalence of smoking in the population (≥ 20 years old) decreased from 35.3 to 11.3% in Brazil. This downward trend was seen for both sexes and in all states, with a marked reduction in exposure to this risk factor in younger cohorts. Smoking-attributable mortality rates decreased by 57.8% (95% UI - 61.2, - 54.1) between 1990 and 2017. Overall, larger reductions were observed in states with higher SDI (Pearson correlation 0.637; p < 0.01). In Brazil, smoking remains responsible for a considerable amount of deaths, especially due to cardiovascular diseases and neoplasms. CONCLUSIONS: Brazil has adopted a set of regulatory measures and implemented anti-tobacco policies that, along with improvements in socioeconomic conditions, have contributed to the results presented in the present study. Other regulatory measures need to be implemented to boost a reduction in smoking in order to reach the goals established in the scope of the 2030 United Nations Agenda for Sustainable Development.

Congenital anomalies from the health surveillance perspective: compilation of a list based on ICD-10 / Anomalías congénitas desde la perspectiva de vigilancia de la salud: compilación de una lista basada en la CIE-10 / Anomalias congênitas na perspectiva da vigilância em saúde: compilação de uma lista com base na CID-10

Objective. Propose a list of congenital anomalies with corresponding codes in the tenth revision of the International Classification of Diseases (ICD), aiming at application in the scope of health surveillance. Methods. In December 2019, the following sources were searched: ICD-10, ICD-11, abnormalities monitored by three surveillance programs, and a database of rare diseases (Orphanet). The Abnormalities were extracted from these data sources, processed based on the ICD-10 and compiled with manual review. Results. 898 codes were identified, of which 619 (68.3%) were in Chapter XVII of ICD-10. Of the 279 codes in other chapters, 19 were exclusive of the ICD-11 search, 72 of the surveillance programs, 79 of the Orphanet and 36 of the ICD-10 search for terms. Conclusion. The codes contained in chapter XVII of ICD-10 do not capture the totality of congenital anomalies, indicating the need of adopting of an expanded list.

Objetivo. Propor uma lista de anomalias congênitas com códigos correspondentes na Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde ­ 10a Revisão (CID-10), visando aplicação no âmbito da vigilância em saúde. Métodos. Em dezembro de 2019, realizou-se busca nas seguintes fontes de dados: CID-10; CID-11; anomalias monitoradas por três modelos de vigilância; base de informações sobre doenças raras (Orphanet). Realizou-se extração das anomalias a partir dessas fontes, processamento para correspondência com base na CID-10 e compilação mediante revisão manual. Resultados. Foram identificados 898 códigos, dos quais 619 (68,3%) constavam no capítulo XVII da CID-10. Dos 279 códigos de outros capítulos, 19 foram exclusivos da busca na CID-11, 72 dos modelos de vigilância, 79 da Orphanet e 36 da busca de termos na CID-10. Conclusão. Os códigos que constam do capítulo XVII da CID-10 não captam a totalidade das anomalias congênitas, indicando a necessidade de adoção de uma lista ampliada.

COVID-19 in Brazil: evolution of the epidemic up until epidemiological week 20 of 2020. / COVID-19 no Brasil: evolução da epidemia até a semana epidemiológica 20 de 2020.

Objective to describe the evolution of COVID-19 in Brazil up until epidemiological week 20 of 2020. Methods this is an ecological study based on data and official documents from the Brazilian Ministry of Health and international organizations; comparisons were made between Brazil and other countries and incidence and mortality rates were calculated. Results by the end of epidemiological week 20, 233,142 cases, and 15,633 deaths had been confirmed for Brazil as a whole and 3,240 (58.2%) of the country's municipalities had reported at least one case; Brazil was at an earlier phase of the pandemic when compared to other countries, except Russia and Turkey, regarding cumulative cases, and except Canada regarding cumulative deaths; the highest rates were found in Brazil's Northern Region states, where Amazonas state had the highest incidence rates(4,474.6/1,000,000) and mortality rates (331.8/1,000,000). Conclusion Brazil is one of the countries with the highest number of confirmed cases and deaths, with marked regional differences.

International collaboration networks for the surveillance of congenital anomalies: a narrative review. / Redes internacionais de colaboração para a vigilância das anomalias congênitas: uma revisão narrativa.

Objective to identify international congenital anomaly surveillance collaboration networks, to list the programs that compose them and to compare their main characteristics. Methods this was a narrative literature review by means of a MEDLINE database search (via PubMed) and searches involving websites, reports and official documents. Results six international congenital anomaly surveillance collaboration networks were identified (ECLAMC, ICBDSR, EUROCAT, BINOCAR, SEAR-NBBD and ReLAMC), comprised of 98 programs present in 58 different countries on all continents, except Africa; the main characteristics regarding type of surveillance, coverage and location were discussed in a comparative manner. Conclusion international collaborative networks are important players for congenital anomaly surveillance, contributing to the understanding of the global epidemiological scenario of these conditions, in addition to acting both to strengthen individual existing programs and also to create surveillance initiatives in unassisted regions.

Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil.

The first case of COVID-19 was detected in Brazil on 25 February 2020. We report and contextualize epidemiological, demographic and clinical findings for COVID-19 cases during the first 3 months of the epidemic. By 31 May 2020, 514,200 COVID-19 cases, including 29,314 deaths, had been reported in 75.3% (4,196 of 5,570) of municipalities across all five administrative regions of Brazil. The R0 value for Brazil was estimated at 3.1 (95% Bayesian credible interval = 2.4-5.5), with a higher median but overlapping credible intervals compared with some other seriously affected countries. A positive association between higher per-capita income and COVID-19 diagnosis was identified. Furthermore, the severe acute respiratory infection cases with unknown aetiology were associated with lower per-capita income. Co-circulation of six respiratory viruses was detected but at very low levels. These findings provide a comprehensive description of the ongoing COVID-19 epidemic in Brazil and may help to guide subsequent measures to control virus transmission.

Description of COVID-19 hospitalized health workers in the first nine weeks of the pandemic, Brazil, 2020 / Descripción de casos hospitalizados de COVID-19 en profesionales de la salud en las primeras nueve semanas de la pandemia, Brasil, 2020 / Descrição dos casos hospitalizados pela COVID-19 em profissionais de saúde nas primeiras nove semanas da pandemia, Brasil, 2020

Objective. Describing the COVID-19 hospitalization in health professionals in Brazil. Methods. Serial cases descriptive study; we included the cases with illness between February 21st and April 15th, 2020; registered in Flu Surveillance Information System (SIVEP-Gripe, in Brazilian acronym). Results. From the 184 (1.76%) cases, 110 (59.8%) were female, with a median age of 44 years (min-max: 23-85). Of the 184, 89 (48.4%) are nursing professionals and 50 (27.2%) are doctors. Still, 92 (50.0%) presented comorbidity, with heart disease predominating (n = 37; 40.2%). Of the 112 professionals with a record of evolution, 85 (75.9%) were cured and 27 (24.1%) died, 18 (66.7%) of whom were male. Conclusion. The profile descripted is similar to the population's in age and comorbidities, but different in relation to sex. The most affected areas were nursing and medicine.

Objetivo. Descrever os casos hospitalizados pela COVID-19 em profissionais de saúde no Brasil. Métodos. Estudo descritivo de tipo Série de Casos; foram incluídos aqueles com adoecimento entre 21 de fevereiro e 15 de abril de 2020, registrados no Sistema de Informação de Vigilância da Gripe (SIVEP-Gripe). Resultados. Dos 184 casos, 110 (59,8%) eram do sexo feminino, com mediana de idade de 44 anos (mínima-máxima: 23-85), 89 (48,4%) eram profissionais da enfermagem e 50 (27,2%) médicos. Ainda, 92 (50,0%) apresentavam comorbidade, predominando cardiopatias (n=37; 40,2%). Dos 112 profissionais com registro de evolução, 85 (75,9%) alcançaram cura e 27 (24,1%) foram a óbito, 18 destes do sexo masculino. Conclusão. O perfil dos profissionais de saúde hospitalizados por COVID-19 é semelhante ao da população quanto à idade e comorbidades; porém, diferente quanto ao sexo. As áreas profissionais mais acometidas foram a Enfermagem e a Medicina.