PubMed COVID-19 Clinical Care

CONCLUSION: This study highlights a tremendous increase in the prevalence of symptoms related to dry eye and digital eyestrain among students attending online classes during the COVID-19 pandemic. Eye care professionals need to be aware of this

Molecular analysis of public wastewater has great potential as a harbinger for community health and health threats. Long-used to monitor the presence of enteric viruses, in particular polio, recent successes of wastewater as a reliable lead indicator

INTRODUCTION: Antibody therapeutic strategies have served an important role during the COVID-19 pandemic, even as their effectiveness has waned with the emergence of escape variants. Here we sought to determine the concentration of convalescent

Background The COVID-19 pandemic led to a significant disruption in clinical attachments for final-year medical students which can result in gaps in clinical knowledge and lower confidence levels. We developed a targeted near-peer-teaching (NPT)

CONCLUSION: Neuroinvasive properties of the virus as demonstrated in in vitro studies, and further verified by neurological illnesses in patients, present a special threat to mankind. Clinicians must be prepared to recognize and treat these

CONCLUSION: Asymptomatic COVID-19 during pregnancy seemed to be associated with various abnormal placental histopathologic changes related to placental hypoxia independent of maternal anemia status. Our data supports an independent role of SARS-CoV-2

CONCLUSIONS: We observed several statistically significant changes to practice patterns among patients without COVID-19 early during the pandemic. However, most of the changes were small or temporary, suggesting that routine practices in the care of

INTRODUCTION: The COVID-19 pandemic presented unique challenges to medical student education. Medical student activities involving direct patient contact were limited, challenging anesthesiology programs to develop innovative means of presenting a

Early forecasting of influenza is an important task for public health to reduce losses due to influenza. Various deep learning-based models for multi-regional influenza forecasting have been proposed to forecast future influenza occurrences in

Internet gaming disorder (IGD) has been rising in recent years. The COVID-19 pandemic has led to a noticeable shift in the way people interact with technology, which could have further contributed to an increase in IGD. Post-pandemic, the concern for