PubMed COVID-19 Clinical Care

Research on moral injury (MI) suggests that negative moral appraisals of stressful events can impact mental health in high-stakes occupational contexts (e.g., military). Few studies have examined these associations in the general population, limiting

CONCLUSION: The H-index is a significant predictor of faculty Twitter accounts, whereas the number of faculty with Twitter is a significant predictor of program Twitter utilization. Although Twitter utilization is increasing, especially during the

CONCLUSIONS: Telehealth will likely continue to be an important source of healthcare for patients, especially following situations like the COVID-19 pandemic. Some groups who may benefit from telehealth are still underserved. Telehealth services and

CONCLUSION: Patients with SUD experience a variety of delays during their ED stay. Those with METH intoxication and those from the lowest income neighborhoods were most likely to experience slower transitions from state to state in the ED and may

No abstract

CONCLUSION: About one-fifth of patients experienced a disease flare post COVID-19 mRNA vaccination, but most flares were non-severe. Patients with active disease prior to vaccination should be monitored closely for disease flares, especially in

In sexual populations, closely-situated genes have linked evolutionary fates, while genes spaced far in genome are commonly thought to evolve independently due to recombination. In the case where evolution depends essentially on supply of new

We aimed to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on admissions of patients with acute myocardial infarction, stroke, and severe trauma, and their excess mortality in emergency departments (EDs) in South Korea

Current COVID-19 vaccines are highly effective against symptomatic disease, but repeated booster doses using vaccines based on the ancestral strain offer limited additional protection against SARS-CoV-2 variants of concern (VOCs). To address this, we

This paper focuses on analyzing discussions related to Genetically Modified Organisms (GMOs) on Twitter, with a specific focus on the spread of misinformation and conspiracy theories. The authors collected and analyzed 1,048,274 English tweets