PubMed COVID-19 Clinical Care

The purpose of this study was to analyze the demographics of pediatric fracture patients before, during, and after the COVID pandemic using US national emergency department (ED) data. The National Electronic Injury Surveillance System (NEISS) data

No abstract

CONCLUSION: Roughly two of every five US physicians intend to reduce their clinical work hours in the next year, more than double previous rates. These findings have potentially profound implications for the adequacy of a US physician workforce

CONCLUSIONS: These findings underscore the potential benefits of utilizing AI in managing pandemics.

Management of chronic myeloid leukemia (CML) in patients who are infected with COVID-19 is a challenging task due to disease-related or treatment-related factors that place such patients at a higher risk of complications. However, a low-infectivity

The global impact of the COVID-19 pandemic caused by SARS-CoV-2 necessitates innovative strategies for the rapid development of effective treatments. Computational methodologies, such as molecular modelling, molecular dynamics simulations, and

During the severe acute respiratory distress virus coronavirus type 2 (SARS-CoV-2) pandemic, many women were infected during their pregnancies. The SARS-CoV-2-induced coronavirus disease 19 (COVID-19) has an impact on maternal health and pregnancy

CONCLUSIONS: In routine care of non-hospitalised patients with COVID-19 on KRT, sotrovimab was associated with a lower risk of severe COVID-19 outcomes compared with molnupiravir during Omicron waves.

CONCLUSION: Public health emergencies like the COVID-19 pandemic have the potential to significantly impact cannabis use. The pandemic has placed urgency on improving coping mechanisms and supports that help populations adapt to major and sudden life

Organizations have increasingly relied on virtual teams (VTs). For VTs to succeed, the collaborative behavior of team members plays an important role. Drawing from the open systems theory and using a phenomenon-driven approach, we investigate the