PubMed COVID-19 Clinical Care

Silicosis is an occupational lung disease that is common worldwide. In recent years, coronavirus disease 2019 (COVID-19) has provided daunting challenges to public healthcare systems globally. Although multiple studies have shown a close link between

CONCLUSION: Compassion fatigue needs to be prevented and addressed systemically to avoid detrimental effects on ED staff morale and well-being, staff retention, patients and care delivery.

CONCLUSION: There is discordance between the most effective and most frequently used hospital-directed wellness interventions. Only free food was both highly effective and frequently used. Hazard pay and staff debriefing groups were the two most

Proteases encoded by SARS-CoV-2 constitute a promising target for new therapies against COVID-19. SARS-CoV-2 main protease (M^(pro), 3CL^(pro)) and papain-like protease (PL^(pro)) are responsible for viral polyprotein cleavage-a process crucial for

CONCLUSION: Nirmatrelvir-ritonavir was effective in reducing 30-day hospitalization and death. Molnupiravir was associated with a benefit for 30-day mortality but not hospitalization. Further reductions in mortality from 31 to 180 days were observed

As a revolutionary biological science and technology, synthetic biology has already spread its influence from natural sciences to humanities and social sciences by introducing biosafety, biosecurity, and ethical issues to society. The current study

Background: Azvudine (FNC) is a promising treatment candidate for managing coronavirus disease 2019 (COVID-19). However, drug interactions with azvudine have been poorly studied, especially with no reported cases of azvudine with anticoagulants such

BACKGROUND: COVID-19 affected the world threatening medical, social, economic and community dimensions. Along with the other countries of the world, Saudi Arabia also witnessed critical emergencies leading to serious disaster due mainly to the

Despite the pandemic's negative effect on the economy, it can help reduce emissions from energy consumption activities in line with the Paris Agreement, especially for high-emitter countries such as Indonesia. However, the policy response to COVID-19

CONCLUSION: This study shows the potential of using deep learning language models to perform triage of COVID-19 references efficiently and support epidemiological curation and review. The ensemble consistently and significantly outperforms any