PubMed COVID-19 Clinical Care

CONCLUSION: In motivating social correction behaviors, a story is better told with an emphasis on collective interests, and numbers are better presented with personal gains and losses. Future interventions should identify the target audience based on

BACKGROUND: COVID-19 and the climate crisis have caused unprecedented disruptions across the world. Climate change has affected the mental health and wellbeing of children and adolescent. Young people with a mental illness and without social support

Immigrants (foreign-born United States [US] citizens) generally have lower utilization of mental health services compared with US-born counterparts, but extant studies have not investigated the disparities in mental health service utilization within

The World Health Organisation (WHO) emphasizes that equitable access to safe and affordable medicines is vital to attaining the highest possible standard of health by all. Ensuring equitable access to medicines (ATM) is also a key narrative of the

CONCLUSION: Measures against the coronavirus have led to a reduction in activity levels among public employees, regardless of their work environment. The decrease in participation in sport activities seemed to be even more noticeable within the

The WHO Regional Office for Africa (AFRO) COVID-19 Incident Management Support Team (IMST) was first established on 21 January 2020 to coordinate the response to the pandemic in line with the Emergency Response Framework and has undergone three

Despite several vaccines that are currently approved for human use to control the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there is an urgent medical need for therapeutic and prophylactic options. SARS-CoV-2

CONCLUSIONS: The BNT162b2 vaccine showed the highest level of antibody against SARS-CoV-2, followed by the BBIBP-CorV, Gam-COVID-Vac, and ChAdOx1 n-CoV-19 vaccines. The level of antibodies was increased in people infected with SARS-CoV-2 after

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is associated with a high mortality rate. The clinical course is attributed to the severity of pneumonia and systemic

CONCLUSIONS: Utilizing AI-assisted quantification of pneumonia burden from chest CT scans offers a more accurate prediction of clinical deterioration in patients with COVID-19 compared to semi-quantitative severity scores, while requiring only a