PubMed COVID-19 Clinical Care

CONCLUSION: The prevalence of dry eye during the COVID-19 pandemic is significantly higher than before, and a higher prevalence is found among females and those having a visual display time of more than 4 hours per day.

The use of telemedicine services within orthopaedics increased rapidly as a result of the COVID-19 pandemic. Telemedicine may improve access to care and save time and money for patients and clinicians; however, limitations such as technical issues

CONCLUSION: This outbreak demonstrated how B.1.1.7 spread rapidly through a community with previously low COVID-19 transmission and few preventative PHMs in place. Implementation and compliance with school and community-based PHMs is critical for

BACKGROUND: Various cardiac arrhythmias have been reported after COVID-19 infection and vaccination. We assessed the risk after primary immunisation with the ChAdOx1 adenovirus vectored vaccine, and primary and booster immunisation with an mRNA

By the end of 2022, different variants of Omicron had rapidly spread worldwide, causing a significant impact on the Coronavirus disease 2019 (COVID-19) pandemic situation. Compared with previous variants of severe acute respiratory syndrome

Background The development of axillary lymphadenopathy post COVID-19 vaccine became an area of concern. This needs to be addressed and investigated to provide updated data that could contribute to its management and imaging guidelines. Objectives

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CONCLUSIONS: COVID-19 patients had severe ARDS compared with non-COVID patients. Despite this, ventilator mechanics and mortality were not significantly different between both groups. It appears that more proning strategies were observed in the COVID

The COVID-19 pandemic has had a major impact on family relationships, as several families have lost family members due to COVID-19 pandemic and become physically and emotionally estranged due to lockdown measures and critically economic periods. Our

To accelerate the discovery of novel drug candidates for Coronavirus Disease 2019 (COVID-19) therapeutics, we reported a series of machine learning (ML)-based models to accurately predict the anti-SARS-CoV-2 activities of screening compounds. We