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Previous studies reported methane gas (CH 4) reservoirs in Saco do Mamanguá ría marine sediments (Rio de Janeiro, Brazil). Knowing that methane-related microbiomes are still poorly characterized in methane-rich tropical shallow sites, this study aimed to investigate microbial communities' diversity and spatial distribution in the sediments of Saco do Mamanguá ría. For this purpose, we collected sediment samples through 100 cm long gravity corer at three sites to perform community analysis based on 16S rRNA gene sequencing, quantification of the methyl coenzyme M reductase-encoding gene (mcrA), and geochemical analysis, including CH 4 stable isotope. Our results revealed a biogenic trend for CH 4 isotopic signature and a high proportion of archaeal sequences assigned to the class Bathyarchaeia (phylum Crenarchaeota), with a spatial distribution throughout the channel's inner areas and the deepest strata. Operational taxonomic units (OTUs) classified within class Bathyarchaeia and Dehalococcoidia showed a positive correlation with CH 4 concentrations, sediment depth, and oxidation-reduction potential. Due to their prevalence in the microbial community, we also performed a phylogenetic analysis to understand the Bathyarchaeia OTUs' affiliation with the Bathyarchaeia subgroups. The results showed a closer affiliation with Bathy-8 and Bathy-13 subgroups, previously proposed as indicators for marine and estuarine anoxic sediments, respectively. Our results emphasize the importance of the ecological role potentials of Bathyarchaeia subgroups in methane-rich tropical coastal ecosystems carbon cycling. [Display omitted] • First report on the spatial distribution of Bacteria and Archaea in a Brazilian ria. • Sediment depth, CH4 and organic matter concentrations showed to influence communities diversity. • Gammaproteobacteria and Bathyarchaeia were the dominant classes found in sediments. • Bathyarchaeia was more abundant throughout the inner channel and the deeper strata. [ABSTRACT FROM AUTHOR]

Background: COVID-19 can occur asymptomatically, as influenza-like illness, or as more severe forms, which characterize severe acute respiratory syndrome (SARS). Its mortality rate is higher in individuals over 80 years of age and in people with comorbidities, so these constitute the risk group for severe forms of the disease. We analyzed the factors associated with death in confirmed cases of COVID-19 in the state of Rio de Janeiro. This cross-sectional study evaluated the association between individual demographic, clinical, and epidemiological variables and the outcome (death) using data from the Unified Health System information systems.Methods: We used the extreme boosting gradient (XGBoost) model to analyze the data, which uses decision trees weighted by the estimation difficulty. To evaluate the relevance of each independent variable, we used the SHapley Additive exPlanations (SHAP) metric. From the probabilities generated by the XGBoost model, we transformed the data to the logarithm of odds to estimate the odds ratio for each independent variable.Results: This study showed that older individuals of black race/skin color with heart disease or diabetes who had dyspnea or fever were more likely to die.Conclusions: The early identification of patients who may progress to a more severe form of the disease can help improve the clinical management of patients with COVID-19 and is thus essential to reduce the lethality of the disease. [ABSTRACT FROM AUTHOR]

B Correction to: BMC Infect Dis 21, 687 (2021) b B https://doi.org/10.1186/s12879-021-06384-1 b Following publication of the original article [[1]], the authors identified an error in the article title. The incorrect title is: Fatores associados ao óbito em casos confirmados de COVID-19 no estado do Rio de JaneiroThe The correct title is: Factors associated with death in confirmed cases of COVID-19 in the state of Rio de Janeiro The original article [[1]] has been corrected. [Extracted from the article]