PubMed COVID-19 Clinical Care

Background: We previously examined National Institutes of Health (NIH)-funded randomized controlled trials (RCTs) published in 2004, 2009, and 2015 and found low compliance with NIH policies on inclusion, analysis, and reporting results for female

CONCLUSION: Home prehabilitation achieved lower overall postoperative complications than standard care and reached significant improvements in 6MWT and CET. A strong correlation was observed between CET and 6MWT, which allows validation of 6MWT as a

CONCLUSIONS: Burnout is more prevalent in anesthesiology since early 2020, with workplace factors of perceived support and staffing being the predominant associated variables. Interventions focused on the drivers of burnout are needed to improve well

SARS-CoV-2 emerged in the human population in late 2019, and human-to-human transmission has dominated the evolutionary landscape and driven the selection of different lineages. The first major change that resulted in increased transmission was the

The COVID-19 pandemic underscored the crucial importance of enhanced indoor air quality control measures to mitigate the spread of respiratory pathogens. Far-UVC is a type of germicidal ultraviolet technology, with wavelengths between 200 and 235 nm

The impacts of the COVID-19 pandemic led to the development of several effective SARS-CoV-2 vaccines. However, waning vaccine efficacy as well as the antigenic drift of SARS-CoV-2 variants has diminished vaccine efficacy against SARS-CoV-2 infection

CONCLUSION: To bolster children's mental and social resilience in future epidemics, participants' plea for maintaining social and physical interactions with significant others and for keeping schools open should be heeded by policy-makers. Our study

CONCLUSIONS: After the event of SARS in 2003, infectious disease preventing and controlling model has undergone major changes in China, and certain achievements have been made in this field. Although overall morbidity and case fatality rates are

CONTEXT: With the wide application of deep learning in drug research and development, de novo molecular design methods based on recurrent neural network (RNN) have strong advantages in drug molecule generation. The RNN model can be used to learn the

Vaccines based on historical virus isolates provide limited protection from continuously evolving RNA viruses, such as influenza viruses or coronaviruses, which occasionally spill over between animals and humans. Despite repeated booster