PubMed COVID-19 Clinical Care

No abstract

CONCLUSIONS: This study identified a wide range of capability, opportunity and motivation barriers to a novel testing behaviour, PCR testing for COVID-19. These barriers were prevalent even in a health system where COVID-19 testing was free and

The empirical study proposes a model for investigating the effect of entrepreneurial leadership on job insecurity and employee psychological wellbeing during COVID-19 based on the combined theoretical grounds of The Conservation of Resources Theory

The outbreak of the severe acute respiratory syndrome coronavirus 2 started in Wuhan, China, towards the end of 2019 and spread worldwide. The rapid spread of the disease can be attributed to many factors including its high infectiousness and the

Patients' perspectives on the impact of the COVID-19 pandemic on their access to asthma and COPD healthcare could inform better, more equitable care delivery. We demonstrate this topic using British Columbia (BC), Canada, where the impact of the

PURPOSE OF REVIEW: Since it first appeared, multisystem inflammatory syndrome in children (MIS-C) associated with coronavirus disease 2019 (COVID-19) has been compared to Kawasaki disease (KD). Although there were early parallels between MIS-C and KD

CONCLUSION: The S390L Firefly WDR slitlamp has moderate intraobserver repeatability for F-NIBUT and A-NIBUT, which suggests that F-NIBUT and A-NIBUT are tests with high variability. The remaining variables show satisfactory intraobserver

CONCLUSION: The volume of hip fractures during the COVID-19 pandemic remained unchanged, although patients admitted during the COVID-19 pandemic appeared to be more deconditioned. Nevertheless, having robust protocols and staff familiar with hip

The receptor binding domain (RBD) of spike proteins plays a crucial role in the process of severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) attachment to the human angiotensin-converting enzyme 2 (ACE2). The N501Y mutation and later

CONCLUSION: The convolution neural network framework can be used as a novel method for artificial intelligence to diagnose COVID-19 or other diseases based on medical images.