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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]

Background: Dengue fever is an arthropod-borne viral disease caused by dengue virus (DENV) and transmitted by Aedes mosquitoes. The Northeast region of Brazil is characterized by having one of the highest dengue rates in the country, in addition to being considered the poorest region. Here, we aimed to identify spatial clusters with the highest dengue risk, as well as to analyze the temporal behavior of the incidence rate and the effects of social determinants on the disease transmission dynamic in Northeastern Brazil. Methods: This is an ecological study carried out with all confirmed cases of dengue in the Northeast Brazil between 2014 and 2017. Data were extracted from the National Notifiable Diseases Information System (SINAN) and the Brazilian Institute of Geography and Statistics (IBGE). Local empirical Bayesian model, Moran statistics and spatial scan statistics were applied. The association between dengue incidence rate and social determinants was tested using Moran's bivariate correlation. Results: A total of 509 261 cases of dengue were confirmed in the Northeast during the study period, 53.41% of them were concentrated in Pernambuco and Ceará states. Spatial analysis showed a heterogeneous distribution of dengue cases in the region, with the highest rates in the east coast. Four risk clusters were observed, involving 815 municipalities (45.45%). Moreover, social indicators related to population density, education, income, housing, and social vulnerability showed a spatial correlation with the dengue incidence rate. Conclusions: This study provides information on the spatial dynamics of dengue in northeastern Brazil and its relationship with social determinants and can be used in the formulation of public health policies to reduce the impact of the disease in vulnerable populations. [ABSTRACT FROM AUTHOR]