PubMed COVID-19 Clinical Care

Research on the impact of the COVID-19 pandemic among college students around the world has primarily focused on their mental health symptoms and COVID-specific worry. However, contextually specific understanding of outbreak impacts is key to inform

CONCLUSION: NMV-r use in vaccinated adults aged 18-50, especially with serious comorbidities, was associated with reduced all-cause hospital visits, hospitalization, and mortality in the first 30 days of Covid-19 illness. However, NMR-r in patients

No abstract

CONCLUSIONS: The pandemic resulted in interprofessional collaboration between community pharmacists and general practitioners. Family pharmacies could be a valuable asset to the comprehensive case management of patients. However, community

While molecular diagnostics generally require heating elements that supply high temperatures such as 95 °C in polymerase chain reaction and 60-69 °C in loop-mediated isothermal amplification, the recently developed CRISPR-based SHERLOCK (specific

Although mitigating burnout has long been a pressing issue in healthcare, recent global disasters, including the COVID-19 pandemic and wars, have exacerbated this problem. Medical professionals are frequently exposed to diverse job-induced distress

This methods commentary focuses on lessons learned from working with community data collectors on a refugee health disparities study during the COVID-19 pandemic. While there is a strong literature base for community health workers in refugee or

CONCLUSIONS: Changes in consultation volumes among children with migrant background after lockdown were not as pronounced as for non-migrants, and at times actually decreased. This suggests that an increase in barriers to care emerged during the

Cryo electron tomography (cryo-ET) allows observing macromolecular complexes in their native environment. The common routine of subtomogram averaging (STA) allows obtaining the three-dimensional (3D) structure of abundant macromolecular complexes

The amino acid sequences of peptides determine their self-assembling properties. Accurate prediction of peptidic hydrogel formation, however, remains a challenging task. This work describes an interactive approach involving the mutual information