We conducted an in silico analysis to better understand the potential factors impacting host adaptation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in white-tailed deer, humans, and mink due to the strong evidence of sustained
This Editorial introduces the PeerJ Computer Science Special Issue on Analysis and Mining of Social Media Data. The special issue called for submissions with a primary focus on the use of social media data, for a variety of fields including natural
AIM: This study aims to investigate the current status and determinants of humanistic care practice abilities among standardized training nurses in China during the post-COVID-19 era, as well as to propose management strategies.
The COVID-19 pandemic created a shift in interprofessional education (IPE) courses, causing programs to change pedagogical approaches. We sought to examine student preferences for taking IPE simulations. On post-simulation surveys from two courses (n
CONCLUSIONS AND RELEVANCE: In this cohort study of veterans with and without documented COVID-19, many reported a substantial loss of everyday functioning during the pandemic regardless of whether or not they had a documented infection with COVID-19
CONCLUSIONS: Our findings underscore the importance that local contexts may play when addressing the long-term social and economic fallout communities will face from COVID-19.
Background: Social support and anxiety are essential for patients with chronic diseases such as multiple sclerosis (MS). During coronavirus disease 2019 (COVID-19) pandemic, the psychological well-being of subjects with MS was an important issue, and
CONCLUSION: It is evident that both nursing and midwifery professions require psychosocial support to preserve their health both in the short and long term. Ensuring individualized tailored support will require a layered response within organizations