PubMed COVID-19 Clinical Care

Vaccination is an indispensable tool to reduce negative outcomes due to COVID-19. Although COVID-19 disproportionately affected lower income and Black and Hispanic communities, these groups have had lower population-level uptake of vaccines. Using

To date, recommendations for the implementation of awake prone positioning in patients with hypoxia secondary to SARSCoV2 infection have been extrapolated from prior studies on respiratory distress. Thus, we carried out a systematic review and

Three years after the beginning of the COVID-19 pandemic, better knowledge on the transmission of respiratory viral infections (RVI) including the contribution of asymptomatic infections encouraged most healthcare centers to implement universal

CONCLUSION: There was no association between HD DEX and mortality among ventilated COVID-19 patients compared to SD DEX. Moreover, HD DEX is associated with detrimental effects such as prolonged ICU LOS and higher average daily BG. This study

This study sought to determine complementary and alternative medicine (CAM) methods used by older adults during the COVID-19 pandemic. The sample for this descriptive study comprised 415 adults older than 65 years who completed an online

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Our study aimed to determine the level of coronavirus-related health literacy among school administrators and the factors that influence this. The sample of this cross-sectional study consisted of 402 school administrators serving in primary

CONCLUSIONS: These findings indicate a decrease in cancer diagnosis, likely due to the COVID-19 pandemic. This decrease in the number of pathology reports may result in a stage shift causing a subsequent longer-term impact on survival patterns.

Technology brings new opportunities in terms of education and research, and global pandemics such as the recent COVID-19 pandemic require online education-style approaches. Visualisation is of great importance in digitised education. In this study

CONCLUSION: The combination of CNNs and RNNs enables the model to effectively capture spatial and temporal information, leading to improved performance in COVID-19 detection. The proposed hybrid architecture with transfer learning from X-ray images