PubMed COVID-19 Clinical Care

Corona virus disease 2019 (COVID-19) infection has become a major public health issue affecting human health. The main goal of epidemic prevention and control at the current stage in China is to "protect people's health and prevent severe cases"

CONCLUSION: As the adoption of virtual simulation increases, clear definitions of what constitutes clinical virtual simulation must be established. Additionally, rigorous inquiry to support evidence-based regulatory guidelines is needed.

Rapid design and construction of mobile cabin hospitals (MCHs) have become imperative in the COVID-19 response. However, due to unique design specifications (e.g., parallel design and model pre-revision), collaboration in emergency construction

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INTRODUCTION: Informal caregivers offer continuous unpaid support to loved ones who are unable to live independently. Providing care can be a very burdensome commitment, that heavily impacts informal caregivers' mental health. eMental health is a

CONCLUSION: The conclusions are that the number of non-COVID respiratory patients decreased during the COVID-19 pandemic (47.8% in adult patients, 55.3% in child patients). Disease severity and complexity increased in child patients but decreased in

CONCLUSIONS: Our results suggest an increased attention towards visceral signals during the COVID-19 pandemic, and highlight the positive role of specific components of interoception in contributing to well-being, suggesting that novel interventions

BACKGROUND: A growing number of studies point to a high mental health burden among children and adolescents during the COVID-19 pandemic, particularly concerning anxiety. However, the study quality and effect direction are heterogeneous in the

CONCLUSIONS: The uptake rate of the COVID-19 booster vaccine among COPD patients in Hungary is lower than the target, and is associated with disease-related factors, and age, sex, previous COVID infection. The global COVID-19 vaccination target is 70

Licorice, a traditional Chinese medicine, has been widely used for the treatment of COVID-19, but all active compounds and corresponding targets are still not clear. Therefore, this study proposed a deep learning-based network pharmacology approach