RESUMO Objetivo Avaliar as tendências temporais das hospitalizações por Embolia Pulmonar (EP) no Brasil, assim como suas regiões e estados no período entre 2008 e 2019. Métodos Foi realizado um estudo ecológico e de série temporal. Os dados foram obtidos do Sistema de Informação Hospitalar (SIH) do Ministério da Saúde (MS) do Brasil. O modelo de regressão de pontos de inflexão foi aplicado para análises de tendências temporais. As tendências foram classificadas como crescentes, decrescentes ou estacionárias de acordo com a inclinação da linha de regressão. O percentual de variação anual (APC) e Percentual de Variação Médio do Período (AAPC) foram calculados considerando Intervalo de Confiança de 95% (IC 95%) e significância de 5%. Além disso, foram elaborados mapas de distribuição espacial dos indicadores epidemiológicos relacionados à EP no Brasil. Resultados Houve uma tendência crescente na taxa de hospitalização de EP no Brasil, variando de 2,57 em 2008 a 4,44/100.000 em 2019 (AAPC=5,6%; p<0,001). Os custos totais e médios de hospitalização também mostraram uma tendência crescente no país (AAPC=9,2% e 3,0%, respectivamente). Ainda assim, houve uma diminuição na taxa de mortalidade hospitalar (de 21,21% para 17,11%; AAPC=-1,9%; p<0,001). Tendências similares foram observadas na maioria das regiões. O tempo médio de hospitalização no Brasil mostrou uma tendência estacionária. A taxa de hospitalização também aumentou em 18 estados (66,67%). Sete estados mostraram uma diminuição na taxa de mortalidade (25,93%), exceto Roraima, que mostrou uma tendência crescente. Conclusão As hospitalizações de EP representam um grave problema de saúde pública no Brasil, e os padrões temporais aqui observados demonstraram uma tendência crescente em todas as regiões e estados do país.

ABSTRACT Objective To assess the temporal trends of hospitalizations for pulmonary embolism (PE) in Brazil, its regions, and states between 2008 and 2019. Methods An ecological and time series study was conducted. Data were obtained from the Hospital Information System (SIH) of the Brazilian Ministry of Health. The inflection point regression model was applied for temporal trend analyses. Trends were classified as increasing, decreasing, or stationary according to the slope of the regression line. The Annual Percent Charge (APC) and the Average Annual Percent Change (AAPC) were calculated considering a confidence interval of 95% and p-value <0.05. Furthermore, spatial distribution maps of epidemiological indicators related to PE in Brazil were elaborated. Results There was an increasing trend in the hospitalization rate for PE in Brazil, ranging from 2.57 in 2008 to 4.44/100,000 in 2019 (AAPC=5.6%; p<0.001). Total and average hospitalizations costs also showed increasing trend in the country (AAPC=9.2% and 3.0%, respectively). Still, there was a decrease in the in-hospital mortality rate (from 21.21% to 17.11%; AAPC=-1.9%; p<0.001). Similar trends were observed in most regions. The average hospitalization time in Brazil showed a stationary trend. The hospitalization rate has also increased in 18 states (66.67%). Seven states showed a decrease in the mortality rate (25.93%), except for Roraima, which showed an increasing trend. Conclusion Hospitalizations for PE represent a serious public health problem in Brazil and the temporal patterns observed herein demonstrate an increasing trend in all regions and states of the country.

SUMMARY OBJECTIVE: The aim of this study was to analyze and compare the indicators of urban mobility and the number of new cases of COVID-19 recorded daily between 2020 and 2021. METHODS: An observational study was carried out involving new cases of COVID-19 registered daily in the state of Pernambuco, Brazil between March 12, 2020 and March 28, 2021 and six indicators of urban mobility. For analysis, the study was divided into two periods: the first was composed of 295 days and represents the year 2020 and the second was composed of 86 days and represents the year 2021. Spearman's non-parametric correlation was used. RESULTS: In 2021, the greatest reductions in relation to the baseline were observed in parks (-29.0) and in retail and recreation areas (-28.7). However, these reductions were smaller than those observed in the previous year, indicating a greater circulation of people in 2021 when compared with mobility in 2020. In contrast, in residential areas, there was a reduction in the percentage change in relation to the previous year (11.2 in 2019 and 7.6 in 2021). In grocery and pharmacy, there was an increase 1.8 times greater than that observed in 2020 (9.1 in 2020 and 17.0 in 2021). It is also noteworthy that the daily average of new cases almost doubled in value (753.4 in 2020 and 1409.1 in 2021). CONCLUSION: More vigorous measures must be taken to adequately control the pandemic.

Abstract INTRODUCTION: Considering that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been detected in feces, this study aimed to verify a possible relationship between basic sanitation indices and coronavirus disease (COVID-19) numbers/rates. METHODS: Data of COVID-19 cases registered in Brazil until May 28, 2020, and independent variables associated with basic sanitation were analyzed. RESULTS: A significant correlation between the number of cases and sewage treatment index/population density was observed. In addition, COVID-19 incidence and mortality rates were significantly associated with the total water service index and lethality rate was significantly associated with the sewage treatment index. CONCLUSIONS: Precarious basic sanitation infrastructure may potentially increase the SARS-CoV-2 transmission in Brazil.

Resumo Introduçao A Organização Mundial da Saúde define o suicídio como o ato de se matar deliberadamente. É a segunda principal causa de morte entre jovens de 15 a 29 anos no mundo. Objetivo Analisar o perfil epidemiológico e a distribuição espacial dos óbitos por suicídio no estado de Sergipe. Métodos Foi realizado estudo ecológico e de série temporal com dados do Sistema de Informações sobre Mortalidade (SIM) dos óbitos por suicídio ocorridos entre 2000 e 2015. Foram considerados suicídio os casos de mortes registrados como lesões voluntárias autoinfligidas. As taxas de suicídio foram estimadas e ajustadas por idade na população acima de 9 anos. Foram analisadas as tendências temporais por sexo e grupos etários usando o modelo de regressão linear simples. Para a análise espacial, foi realizada a estimativa de Kernel com o software TerraView 4.2.2. Resultados Foram identificados 1.560 casos de suicídio no estado de Sergipe entre 2000 e 2015, com média de 97,5 casos por ano. Observou-se um aumento de 102,3% das taxas de suicídio no estado (de 2,69/100.000 habitantes em 2000 para 5,44 em 2015). Os suicídios ocorreram predominantemente no sexo masculino (1.160 casos; 74,35%), em solteiros (1.010 casos; 64,7%) e pardos (1.039 casos; 66,6%). Foram observadas tendências temporais crescentes na população geral, especialmente entre adultos do sexo masculino. A análise espacial permitiu a construção de mapas exibindo as regiões com maiores concentrações de suicídio. Conclusão Observaram-se tendências crescentes de suicídio no estado de Sergipe e a análise espacial foi uma importante ferramenta ao mostrar áreas com maiores incidências de suicídio.

Abstract Background The World Health Organization defines suicide as the act of deliberately killing oneself. It is the second leading cause of death among 15-29 year olds globally. Objective To analyze the epidemiological profile and the spatial distribution of suicide deaths in the state of Sergipe. Methods We performed an ecological time-series study with data from the Brazilian Mortality Information System (Sistema de Informações sobre Mortalidade – SIM) about deaths by suicide occurring between 2000 and 2015. We considered as suicide deaths cases recorded as voluntary self-inflicted injuries. Suicide rates were estimated and age-adjusted in the population above 9 years. We analyzed temporal trends by sex and age groups using the simple linear regression model. For the spatial analysis, we performed Kernel density estimation with the software TerraView version 4.2.2. Results We identified 1,560 suicide cases in the state of Sergipe between 2000 and 2015, with a mean of 97.5 cases per year. We also observed that suicide rates in the state increased 102.3% (from 2.69/100,000 population in 2000 to 5.44 in 2015). Suicides occurred predominantly among males (1,160 cases; 74.35%), single people (1,010 cases; 64.7%), and brown-skinned people (1,039 cases; 66.6%). We observed significantly growing temporal trends in the general population, especially among male adults. Spatial analysis allowed us to draw a map that showed the regions with the highest occurrence of suicide. Conclusion We observed growing suicide trends in the state of Sergipe and the spatial analysis was an important tool that showed the areas with higher incidences of suicide.

Abstract INTRODUCTION: This cross-sectional study analyzed the spatial distribution of hepatitis B or C virus (HBV/HBC) and schistosomiasis coinfection. METHODS: Serum samples were collected from patients with Schistosoma mansoni infection. These were tested for serological markers of HBV/HCV infection. The spatial distribution of coinfection was analyzed using intensity kernel estimation. RESULTS: Overall, 9.4% of individuals had contact with HBV and 1.7% of samples tested positive for anti-HCV antibodies. We identified clusters of risk located in the central region. CONCLUSIONS: Spatial analysis allowed visualization of high-risk areas, leading to a definition of priority areas to be targeted for intensification of control interventions.

Abstract INTRODUCTION: Schistosomiasis is a parasitic infectious disease with a worldwide prevalence. The objective of this work is to identify risk areas for schistosomiasis mansoni transmission in the State of Sergipe, Brazil, during the period from 2005 to 2014. METHODS: We conducted an epidemiological study with secondary data from the Information System Control Program of Schistosomiasis [Sistema de Informação do Programa de Controle da Esquistossomose (SISPCE)]. Temporal trends were analyzed to obtain the annual percentage change (APC) in the rates of annual prevalence. In addition to the description of general indicators of the disease, the spatial analysis was descriptive, by means of the estimator of intensity kernel, and showed spatial dependence by indicators of global Moran (I) and Local Index of Spatial Association (LISA). Thematic maps of spatial distribution were made, identifying priority intervention areas in need of healthcare. RESULTS: There were 78,663 cases of schistosomiasis, with an average of 8.7% positivity recorded; 79.8% of the cases were treated, and Sergipe showed a decreasing positive trend (APC: -2.78). There was the presence of spatial autocorrelation and a significant global Moran index (I = 0.19; p-value = 0.03). We identified clusters of high-risk areas, mainly located in the northeast and southcentral of the state, which each had equally high infection rates. CONCLUSIONS: There was a decreasing positive trend of schistosomiasis in Sergipe. Spatial analysis identified the geographic distribution of risk and allowed the definition of priority areas for the maintenance and intensification of control interventions.