Search

The mpox outbreaks reported in several countries from May 2022 have shown an epidemiological profile different from that observed in previous years, raising a global public health alert. This issue is particularly important for Brazil, the second country with the highest number of mpox cases. Herein, we performed a retrospective cross‐sectional study on mpox cases notified in Pernambuco state, northeastern Brazil, between July 2022 and March 2023. Confirmed mpox cases were analyzed in a space‐time series and their social and clinical characteristics were compared with those of suspect‐negative cases, including a multivariate logistic regression to identify predictors associated with a positive diagnosis. A total of 1493 suspected mpox cases were reported, of which 362 cases (24.2%) were confirmed and distributed in 33 municipalities. Most mpox cases occurred between epidemiological weeks (EW) 33 and 39 of 2022, with the highest moving average in EW 34 and 35 (36 and 31.5, respectively). The most frequent clinical signs and symptoms were rash (87.3%), fever (60.2%), headache (45.3%), and genital/perianal lesions (40.3%). In the multivariate analysis, three variables showed considerable performance in predicting a positive mpox diagnosis (area under the ROC curve = 0.87; 95% CI: 0.84−0.90): sexual orientation (nonheterosexual; OR: 23.08; 95% CI: 13.97−38.15), male sex (OR: 2.05; 95% CI: 1.10−3.85), and multiple partnerships (OR: 1.95; 95% CI: 1.15−3.32). Overall, in addition to the detailed spatiotemporal description of mpox cases, which may contribute to appropriate public health measures, our study brings insights into mpox epidemiology by describing predictors associated with a positive diagnosis. [ABSTRACT FROM AUTHOR]

Introduction: COVID-19 is a major public health concern in this century. The causative agent SARS-CoV-2, is highly contagious and spreads continuously across territories. Spatial analysis is of enormous importance in the process of understanding the disease and its transmission mechanisms. We aimed to identify the risk areas for COVID-19 and analyze their association with social vulnerability in Maceió, Alagoas. The study was conducted in 2020. Methodology: This is an ecological study to evaluate the incidence, mortality and case fatality rate of COVID-19 and their relationship with 12 indicators of human development and social vulnerability. Multivariate and spatial statistics were applied. A 95% confidence interval and a 5% confidence level were considered. Results: The spatial scan statistic revealed the existence of six high-risk clusters for the incidence of COVID-19. The regression model showed that social indicators, such as literacy of people, residents of private households, households with more than four residents, and resident brown population, were associated with COVID-19 transmission in Maceió-AL. The disease affected localities whose populations are exposed to a context of intense socioeconomic vulnerability. Conclusions: Based on the results, it is necessary to adopt measures that take into account the social determinants of health in order to minimize the damage caused by the pandemic. [ABSTRACT FROM AUTHOR]