PubMed COVID-19 Clinical Care

Background We sought to understand the relative risk of COVID-19 infection and identify risk factors for infection to identify targets for mitigation among medical students. Methods An observational cohort study of Johns Hopkins School of Medicine

CONCLUSIONS: Campaign modifications due to the COVID-19 pandemic were effective in implementing mass distribution of LLINs despite the disruptions and restrictions. The campaign's net coverage far exceeded its objective. Electronic data management

CONCLUSIONS: The findings have implications for university management/authorities and public health agencies to organize effective orientation and self-management training programmes for university students.

CONCLUSIONS: The findings indicated that SARS-CoV-2 Delta variant was detected in wastewater in Chiang Mai, Thailand during the outbreak of COVID-19, suggesting a circulation of the virus in environmental water and in the community during the

Myocardial injury is one of the most common comorbidity in SARS-CoV-2 infected patients, and has poor prognosis. However, the incidence of myocardial injury in patients with SARS-CoV-2 infection has not been sufficiently investigated during the

Planning the medical services for the triathlon competition at the 2020 Tokyo Olympic and Paralympic Games was predicted to be challenging because of possible last-minute changes related to the COVID-19 pandemic and abnormally high temperatures

Since the emergence of the coronavirus disease 2019 (COVID-19) pandemic, many lives have been tragically lost to severe infections. The COVID-19 impact extends beyond the respiratory system, affecting various organs and functions. In severe cases, it

CONCLUSIONS: During the prolonged COVID-19 pandemic, there is a strong need for various individualized programs that identify and intervene to support adolescents at risk of suicide by accurately assessing their mental health risk factors, such as

CONCLUSIONS: Our novel prediction model identified biological and regulatory candidate networks preceding hyperinflammation and coagulopathy, with the most promising group being the proteins that explain changes in D-dimers. These biomarkers need

Since its introduction in 2016, researchers have applied the idea of Federated Learning (FL) to several domains ranging from edge computing to banking. The technique's inherent security benefits, privacy-preserving capabilities, ease of scalability