PubMed COVID-19 Clinical Care

No abstract

In this review, we highlight articles on youth anti-racist action undertaken alongside the COVID-19 pandemic. Three contexts for youth anti-racism development are reviewed: educational settings, out-of-school programs, and youth-led participatory

CONCLUSION: COVID-19-associated onset symptoms during the delta variant were more severe and highly prevalent, while neurological symptoms (aguesia and anosmia) were more common during the alpha variant. Patients infected with the delta variant of

CONCLUSIONS: Lung involvement during COVID-19 was significantly less severe in vaccinated patients compared with unvaccinated patients, who also showed worse clinical outcomes. Vaccination status was the strongest variable associated to the severity

Practitioner understanding of patients' preferences, wishes and needs is essential for personalised health care i.e., focusing on 'what matters' to people based on their individual life situation. To develop such an understanding, dementia

Primary care physicians (PCPs) play an indispensable role in providing comprehensive care and referring patients for specialty care and other medical services. As the COVID-19 outbreak disrupts patient access to care, understanding the quality of

COVID-19 and associated policy responses created unique social, economic and health risks for sex workers. Through semi-structured interviews we explored pre- and early COVID-19 experiences and work practices of ten cisgender female sex workers 50

Since the start of the global COVID-19 pandemic, extensive quantities of face masks have been used and discarded. Most of these masks end up in landfills, causing a high environmental impact and no benefits. However, there are alternative ways to

CONCLUSIONS: As children have experienced higher levels of parental stress and disruption during their lives during the COVID-19 pandemic, policy makers and program makers must find ways to increase exposure to PCEs following the pandemic. The

The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately detecting the novel coronavirus and its variants. Deep learning (DL) techniques have shown promising potential as screening tools for COVID-19