PubMed COVID-19 Clinical Care

No abstract

CONCLUSIONS: Our findings suggest that screening for latent strongyloidiasis in COVID-19 patients in endemic areas using high-sensitivity diagnostic methods, particularly ELISA, before receiving suppressive drugs should be given more consideration.

Emerging in South Africa, SARS-CoV-2 Omicron variant was marked by the expression of an exaggerated number of mutations throughout its genome and by the emergence of subvariants, whose attributes developed by them have been associated with amino acid

Nutrition is sturdily and rapidly becoming the foremost determinant of health in today's Sars-Cov-2 and climate change ravaged world. While safe food sustains life, contamination obliterates its values and could result in death and short to long term

The COVID-19 pandemic has highlighted the importance of understanding what contributes to individual variability in experiences of stress. Increases in stress related to the pandemic have been especially pronounced in parents, indicating a need for

Here, we report on the anti-SARS-CoV-2 activity of PRO-2000, a sulfonated polyanionic compound. In Vero cells infected with the Wuhan, alpha, beta, delta or omicron variant, PRO-2000 displayed EC(50) values of 1.1 μM, 2.4 μM, 1.3 μM, 2.1 μM and 0.11

The COVID-19 pandemic has been a major disruptor to school systems across the United States since March 2020. As a result, school nurses have had to adapt to these uncertain times. Previous research has demonstrated the impact of school nurses on

CONCLUSION: These results demonstrate the unique ability of telemedicine, if implemented thoughtfully, to enhance outcomes for patients seeking surgical gender affirmation.

Access to vaccinations is crucial for everyone in the fight against the COVID-19 pandemic, regardless of migration or refugee status. This study explored COVID-19 prevention knowledge, attitudes, and vaccination challenges among refugees and

Recently, numerous studies have reported on different predictive models of disease severity in COVID-19 patients. Herein, we propose a highly predictive model of disease severity by integrating routine laboratory findings and plasma metabolites