PubMed COVID-19 Clinical Care

The COVID-19 pandemic is a public health crisis that also fuels the pervasive social inequity in the United States. Existing studies have extensively analyzed the inequity issues on mobility across different demographic groups during the lockdown

Purpose The aim of this study was to assess efficacy of a virtual, double-flipped clinical rotation in ophthalmology for medical students during the coronavirus disease 2019 (COVID-19) pandemic. Methods We instituted a virtual, reverse-classroom

Purpose We assess the clinical accuracy of direct-to-patient real-time outpatient video visit encounters at our eye center. Design This was a retrospective longitudinal study. Subjects and Methods Patients who completed a video visit over a 3-week

CONCLUSIONS: This rapid review provides a global overview of the access, acceptability, and uptake of the COVID-19 vaccine among global migrants. Recommendations for practice, policy, and future research to increase access, acceptability, and uptake

Dexamethasone (DEX) given at a dose of 6 mg once-daily for 10 days is a recommended dosing regimen in patients with COVID-19 requiring oxygen therapy. We developed a population pharmacokinetic and pharmacodynamic (popPK/PD) model of DEX anti

As a respiratory virus, COVID-19 propagates based on human-to-human interactions with positive COVID-19 cases. The temporal evolution of new COVID-19 infections depends on the existing number of COVID-19 infections and the people's mobility. This

Introduction: The first COVID-19 wave in Ecuador started in March 2020 and extended until November. Several types of drugs have been proposed as a potential treatment during this period, and some affected people have self-medicated. Method: A

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CONCLUSIONS: The study highlights interesting associations between maternal pandemic-related preparedness stress and positive appraisal of the pregnancy as well as partnership satisfaction and prenatal attachment in women pregnant during the COVID-19

The COVID-19 infection is still a serious threat to public health and healthcare systems. Numerous practical machine learning applications have been investigated in this context to support clinical decision-making, forecast disease severity and