PubMed COVID-19 Clinical Care

BACKGROUND: America's crisis of youth mental health challenges has been worsened by COVID-19. Group-based parent education has been proven effective in intervention and prevention; however, a lack of universal access and the busyness of parents are

CONCLUSIONS: Our results indicate that the nasopharyngeal microbiome is influenced by age, gender, and viral load, with consistent patterns of microbiome changes being present across specific groups. This may help in designing a personalized medicine

Numerous efforts and research have been conducted worldwide to combat the coronavirus disease 2019 (COVID-19) pandemic. In this regard, some researchers have focused on deep and machine-learning approaches to discover more about this disease. There

A variety of factors are associated with greater COVID-19 morbidity or mortality, due to how these factors influence exposure to (in the case of morbidity) or severity of (in the case of mortality) COVID-19 infections. We use multiscale

CONCLUSION: Turnover intention and post-traumatic stress disorder levels are high and social support plays an important role in the tendency to leave the job and post-traumatic stress disorder, healthcare institution can be achieved by strengthening

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CONCLUSIONS: This study failed to show a significant improvement in outcomes in critically ill COVID-19 patients vaccinated against SARS-CoV-2. However, the CIs were wide and the mortality point estimates favored patients who received at least one

Background: Ayush (Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homeopathy) system of medicine has been extensively used in India for the prevention and management of coronavirus disease 2019 (COVID-19). The present report is the second update

This article investigates whether higher classification accuracy can always be achieved by utilizing a pre-trained deep learning model as the feature extractor in the Bag-of-Deep-Visual-Words (BoDVW) classification model, as opposed to directly using

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