PubMed COVID-19 Clinical Care

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CONCLUSIONS: TSSs among Spanish healthcare workers active during the COVID-19 pandemic are common and associated with various pandemic-related stressful experiences. Future research should investigate if these stressful experiences represent truly

BACKGROUND: The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients.

We investigated if the COVID-19 pandemic's onset caused changes in political attitudes. Influential theories predict that the pandemic's onset will cause people to adopt more conservative attitudes, more culturally conservative attitudes, or more

CONCLUSIONS: The health education intervention program using a WeChat public account proved to be an effective, feasible, and well-accepted means to improve the IDSHL of the general population. In the future, this health education intervention

CONCLUSION: Demographic characteristics, comorbidity and antibiotic use of patients were not directly related to secondary infections. In addition, the empirical use of azithromycin and moxifloxacin with piperacillin/tazobactam appeared to delay the

CONCLUSION: Stress and stress-coping behaviors were associated with suicidal risk among Thais who had become unemployed due to the COVID-19 pandemic. Hence, nurses must screen patients with psychological problems, especially those who have become

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Lipid nanoparticles (LNPs) are a potent delivery technology that have made it possible for the recent clinical breakthroughs in mRNA therapeutics and vaccines. A key challenge to the broader implementation of mRNA therapeutics and vaccines is the

The COVID-19 pandemic continues to spread rapidly and overwhelm health systems around the world. To cope with this unprecedented usage of healthcare resources, increasingly novel solutions are being brought into the fray. Telemedicine has been thrust