PubMed COVID-19 Clinical Care

CONCLUSIONS: Multidisciplinary blood glucose management is highly recommended for patients with COVID-19 who have hyperglycemia due to its effectiveness, standardization, safety, and improvement of inflammation indicators.

CONCLUSIONS: Influenza vaccines provided moderate protection against laboratory-confirmed influenza and related outpatient visit and hospitalization. However, the effectiveness may vary substantially by virus type and age group, suggesting the

CONCLUSION: Severe acute respiratory syndrome coronavirus 2 infection during pregnancy causes an increase in perivillous fibrin deposition and villus dystrophic calcification in the placenta. Placental injury caused by the severe acute respiratory

CONCLUSIONS: International students generally presented poorer mental health outcomes than domestic students. Mental health care and prevention such as low-threshold, online counseling should address university students, especially international

Post-COVID conditions (PCCs) cover a wide spectrum of lingering symptoms experienced by survivors of coronavirus disease 2019 (COVID-19). Neurological and neuropsychiatric sequelae are common in PCCs. Advanced magnetic resonance imaging (MRI)

The present study aims to estimate the early-stage association of the coronavirus disease 2019 (COVID-19) pandemic with sleep duration, 4 months after the initial outbreak, at a national level. Using the China Family Panel Studies in 2018 and its

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