This study aimed to analyse the trend and spatial–temporal clusters of risk of transmission of COVID-19 in northeastern Brazil. We conducted an ecological study using spatial and temporal trend analysis. All confirmed cases of COVID-19 in the Northeast region of Brazil were included, from 7 March to 22 May 2020. We used the segmented log-linear regression model to assess time trends, and the local empirical Bayesian estimator, the global and local Moran indexes for spatial analysis. The prospective space–time scan statistic was performed using the Poisson probability distribution model. There were 113 951 confirmed cases of COVID-19. The average incidence rate was 199.73 cases/100 000 inhabitants. We observed an increasing trend in the incidence rate in all states. Spatial autocorrelation was reported in metropolitan areas, and 178 municipalities were considered a priority, especially in the states of Ceará and Maranhão. We identified 11 spatiotemporal clusters of COVID-19 cases; the primary cluster included 70 municipalities from Ceará state. COVID-19 epidemic is increasing rapidly throughout the Northeast region of Brazil, with dispersion towards countryside. It was identified high risk clusters for COVID-19, especially in the coastal side.

Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. It is a disease known worldwide for its vulnerability factors, magnitude and mortality. The objective of the study was to analyze the spatial and temporal dynamics of TB in the area of social inequality in northeast Brazil between the years 2001 and 2016. An ecological time series study with the use of spatial analysis techniques was carried out from 2001 to 2016. The units of analysis were the 75 municipalities in the state of Sergipe. Data from the Notification of Injury Information System were used. For the construction of the maps, the cartographic base of the state of Sergipe, obtained at the Instituto Brasileiro de Geografia e Estatística, was used. Georeferenced data were analysed using TerraView 4.2.2 software (Instituto Nacional de Pesquisas Espaciais) and QGis 2.18.2 (Open Source Geospatial Foundation). Spatial analyses included the empirical Bayesian model and the global and local Moran indices. The time trend analyses were performed by the software Joinpoint Regression, Version 4.5.0.1, with the variables of sex, age, cure and abandonment. There was an increasing trend of tuberculosis cases in patients under 20 years old and 20–39 years old, especially in males. Cured cases showed a decreasing trend, and cases of treatment withdrawal were stationary. A spatial dependence was observed in almost all analysed territories but with different concentrations. Significant spatial correlations with the formation of clusters in the southeast and northeast of the state were observed. The probability of illness among municipalities was determined not to occur in a random way. The identification of risk areas and priority groups can help health planning by refining the focus of attention to tuberculosis control. Understanding the epidemiological, spatial and temporal dynamics of tuberculosis can allow for improved targeting of strategies for disease prevention and control.

Investigar os fatores associados à prática do sexo sob o efeito de drogas (chemsex) entre homens que fazem sexo com homens (HSH) durante período de isolamento social, no contexto da pandemia da COVID-19. Inquérito multicêntrico online, aplicado aos territórios de Brasil e Portugal em abril de 2020, enquanto os dois países vivenciavam medidas sanitárias restritivas para a doença. Os participantes foram recrutados valendo-se de uma adaptação do método respondent driven sampling (RDS) ao ambiente virtual. Os dados foram coletados usando redes sociais e aplicativos de encontro voltados a HSH. Utilizamos regressão logística bivariada e multivariada para a produção das odds bruto (OR) e ajustado (ORa). Em um universo de 2.361 sujeitos, 920 (38,9%) realizaram a prática do chemsex, que, em 95% dos casos, foi realizada com parceiro casual. Aumentaram as chances de se envolver em chemsex: morar no Brasil (ORa = 15,4; IC95%: 10,7-22,1); não estar em isolamento social (ORa = 4,9; IC95%: 2,2-10,9); fazer sexo casual durante o distanciamento social (ORa = 52,4; IC95%: 33,8-81,4); fazer sexo grupal (ORa = 2,9; IC95%: 2,0-4,4); não apresentar nenhum tipo de sintoma para a COVID-19 (ORa = 1,3; IC95%: 1,1-1,8); não residir com o parceiro (ORa = 1,8; IC95%: 1,2-2,6) e estar em uso da profilaxia pré-exposição (ORa = 2,6; IC95%: 1,8-3,7). A ocorrência de chemsex foi elevada, sobretudo no Brasil, onde o isolamento social proposto não sensibilizou os HSH à adesão.

Dengue is a global public health problem. The Dengue Virus (DENV) serotypes are transmitted by an Aedes aegypti mosquito. Vector control is among the primary methods to prevent the disease, especially in tropical countries. This study aimed to analyze the spatial distribution of dengue and its relationship with social inequalities using spatial modelling. An ecological study with temporal and spatial analysis was conducted in the state of Sergipe, Northeast Brazil, over a period of 18 years. Spatial modelling was used to determine the influence of space on dengue incidence and social inequalities. The epidemic rates in 2008, 2012, and 2015 were identified. Spatial modelling explained 40% of the influence of social inequalities on dengue incidence in the state. The main social inequalities related to the occurrence of dengue were the percentage of people living in extreme poverty and inadequate sanitation. The epidemic situation even increased the risk of dengue in the population of the state of Sergipe. These results demonstrate the potential of spatial modelling in determining the factors associated with dengue epidemics and are useful in planning the intersectoral public health policies.

Objective: to investigate the factors associated with the practice of sex under the influence of drugs (chemsex) among Portuguese men who have sex with men during the period of social distancing to prevent the COVID-19. Method: online survey applied in May 2020 to a sample of 1,301 participants living in Portugal, recruited according to Respondent Driven Sampling and via social media Facebook®. Descriptive and bivariate analyses were performed along with logistic regression to calculate adjusted Odds Ratio (ORa). Results: the prevalence of chemsex was 20.2%. The likelihood of practicing chemsex increased with group sex (ORa: 28.4, 95%CI 16.93–47.49); unprotected sex (ORa: 7.1 95%CI 4.57–10.99); the use of pre-exposure prophylaxis (PrEP) to prevent COVID-19 (ORa: 4.2, 95%CI 2.71–6.39) and COVID-19 testing (ORa: 1.9, 95%CI 1.15–3.10). Conclusion: the practice of chemsex among men who have sex with men during the COVID-19 pandemic in Portugal was very frequent and may support greater understanding of the role and impact of sexual behavior on the COVID-19 transmission rates and the current pandemic situation in Portugal.

COVID-19 vaccine hesitancy (VH) has caused concerns due to the possible fluctuations that may occur directly impacting the control of the pandemic. In this study, we aimed to estimate the prevalence and factors associated with COVID-19 VH in Portuguese-speaking countries. We developed a web survey (N:6,843) using an online, structured, and validated questionnaire. We used Measurement Models, Exploratory Factor Analysis, Exploratory Structural Equation Models, and Confirmatory Factor Analysis for the data analysis. The overall prevalence of COVID-19 VH in Portuguese-speaking countries was 21.1%. showed a statistically significant direct effect for VH: vaccine-related conspiracy beliefs (VB) (β = 0.886), perceived stress (PS) (β = 0.313), COVID-19 Misinformation (MIS) (β = 0.259) and individual responses to COVID-19 (CIR) (β = −0.122). The effect of MIS and CIR for VH was greater among men and of PS and VB among women; the effect of PS was greater among the youngest and of VB and CIR among the oldest. No discrepant differences were identified in the analyzed education strata. In conclusion, we found that conspiracy beliefs related to the vaccine strongly influence the decision to hesitate (not to take or to delay the vaccine). Specific characteristics related to gender, age group, social and cognitive vulnerabilities, added to the knowledge acquired, poorly substantiated and/or misrepresented about the COVID-19 vaccine, need to be considered in the planning of vaccination campaigns. It is necessary to respond in a timely, fast, and accurate manner to the challenges posed by vaccine hesitancy.