PubMed COVID-19 Clinical Care

No abstract

COVID-2019 has resulted in an emerging respiratory infection that has spread as a pandemic since January 2020. Nuclear Medicine Services and its workers experienced a dramatic change in their clinical routine. They were required to adjust protocols

CONCLUSION: Health organizations need a cultural shift to account for the increasing complexity of crisis communication. Their awareness of the importance of communication should match the implementation of enhanced dedicated infrastructures and

CONCLUSION: Sleep disturbance and anxiety symptoms were prevalent among asymptomatic COVID-19 carriers. Entrapment and defeat mediate the association between sleep disturbance and anxiety symptoms. More attention is needed to monitoring sleep

Objective: To investigate the wearing of masks and the knowledge of masks among high-risk positions for overseas import and pollution transmission. Methods: From May 14 to 17, 2022, a convenient sampling method was used to conduct an online survey

An increased pathogenic waste post-COVID-19 pandemic forced policymakers to treat biomedical waste (BMW) similar to municipal solid waste (MSW) to dispose into dumpsites and MSW landfills across the globe. The granular bentonite of geosynthetic clay

COVID-19 is the most severe health crisis of the 21st century. COVID-19 presents a threat to almost all countries worldwide. The restriction of human mobility is one of the strategies used to control the transmission of COVID-19. However, it has yet

CONCLUSION: There was a clear difference between the clinical features associated with B.1.1.7/SGTF and non-SGTF lineages. Tracking viral evolution and its clinical impact is crucial for proper understanding and management of the COVID-19 pandemic.

The present study examined older adults' use of digital technology and its relation to perceived well-being before and during the COVID-19 pandemic in Europe. Three cross-sectional survey data from the European Social Survey (ESS) were employed

CONCLUSION: This study demonstrated a significant annotation reduction in identifying anomalous CT slices compared to a supervised learning approach. The effectiveness of the proposed WSAD algorithm was verified through higher AUC than existing