PubMed COVID-19 Clinical Care

CONCLUSION: Hospital-based nurses appear to be at high risk for developing posttraumatic stress disorder during the COVID-19 pandemic. Study findings demonstrated specific associated factors that should be the focus of nursing administration and

Fear of infection and measures taken to mitigate infection, such as social distancing, lockdown and isolation can lead to anxiety and depression across the life course, but especially in pregnancy. We set out to identify the prevalence of depression

In this longitudinal study, we examine changes in psychological distress and multidimensional well-being from before to during the COVID-19 pandemic among South African adults. As a secondary purpose, we explore whether pre-pandemic flourishing is

Background: Over the past decade, there has been increased utilization of medical cannabis (MC) in the United States. Few studies have described sociodemographic and clinical factors associated with MC use after certification and more specifically

Viral pathogens can rapidly evolve, adapt to novel hosts, and evade human immunity. The early detection of emerging viral pathogens through biosurveillance coupled with rapid and accurate diagnostics are required to mitigate global pandemics. However

CONCLUSION: Flares occur in nearly one in ten individuals with AIRDs after COVID vaccination, with people with comorbidities, especially AID multimorbidity, mental health disorders and use of the Moderna vaccine being particularly vulnerable. Future

Background COVID-19 caused by SARS-CoV-2 is a worldwide epidemic. Children are less commonly infected and have less severe symptoms than adults. However, they are at risk for COVID-19-associated severe sickness and hospitalization. The duration of

The development of COVID-19 is associated with damage to various organs and organ systems, including the development of acute ischemic stroke (AI). The article examines modern ideas about the pathogenesis of AI in COVID-19. The data on the choice of

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COVID-19 forecasting models have been critical in guiding decision-making on surveillance testing, social distancing, and vaccination requirements. Beyond influencing public health policies, an accurate COVID-19 forecasting model can impact community