PubMed COVID-19 Clinical Care

No abstract

A global outbreak of coronavirus disease 2019 (COVID-19), an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), mounted a substantial threat to public health worldwide. It initially emerged as a mere

CONCLUSION: Although the HCWs had a positive attitude regarding AR during COVID-19, their knowledge and practice need significant improvement. Implementation of effective educational and training programmes are urgently needed. In addition, further

CONCLUSION: In patients with HT and familial autoimmunity, SBI should be carefully considered due to the possibility of ASIA development. Hashimoto thyroiditis, familial autoimmunity, and ASIA seem to be interconnected in the complex mosaic of

Empirical studies on the impact of weather and policy interventions on Covid-19 infections have dedicated little attention to the mediation role of social activity. In this study, we combine mobile locations, weather, and COVID-19 data in a two-way

CONCLUSION: Although students prefer in-person activities, the SSIPCP successfully trained healthcare students in chronic pain management and working in an IP team through Zoom.

The emergence of mutations in the coronavirus genome provides opportunities for occurrence new strains with higher transmissibility, severity and duration of the disease poses. In 2020, a new variant of the coronavirus SARS-COV-2 - Delta was

CONCLUSIONS: The study highlights a noteworthy prevalence of medical undergraduates who expressed their willingness to pursue medicine as a career post-graduation. Several factors, including but not limited to current major, household income

CONCLUSION: There was strong concordance among laboratories performing qualitative omicron nucleic acid testing. Ct values from qualitative RT-PCR tests should not be used for clinical or epidemiological decision-making to avoid the potential for

Establishing the host range for novel viruses remains a challenge. Here, we address the challenge of identifying non-human animal coronaviruses that may infect humans by creating an artificial neural network model that learns from spike protein