PubMed COVID-19 Clinical Care

CONCLUSIONS: The results of prefecture-level analyses demonstrate that increased numbers of ICU beds, resource-rich ICU beds, and intensivists are associated with the incidence of invasive mechanical ventilation among patients recently diagnosed with

With the recent success of lipid nanoparticle (LNP) based SARS-CoV-2 mRNA vaccines, the potential for RNA therapeutics has gained widespread attention. LNPs are promising non-viral delivery vectors to protect and deliver delicate RNA therapeutics

CONCLUSIONS: Study findings identify factors influencing the LIVE Program's acceptability by patients, family caregivers, and healthcare providers during pandemic conditions including enhanced access to care, ease of case management triage, and VAI

CONCLUSION: SatO2, glycemia at hospital admission, and HbA1c had the highest sensitivity and specificity to predict the prognosis of T2DM patients with SARS-CoV-2 infection. Glycemic control is essential in the prognosis of patients with DM and COVID

This systematic review provides a comprehensive overview of natural SARS-CoV-2 infections in companion animals. The findings show that these infections are relatively rare. Among the examined dogs, only 1.32% tested positive for SARS-CoV-2, while for

Spatial scan statistics are commonly used to detect clustering. We present a Bayesian spatial scan statistic for multinomial data. After validating our method with a simulation study, we use it to detect clusters of SARS-CoV-2 infection/immunity in

CONCLUSIONS: The study provides valuable information on the usefulness of teaching modalities that were implemented in response to the COVID-19 pandemic and their merit to be retained in future deliveries of the course. The 3D models have been

COVID-19 has brought with it a global crisis, but it also highlighted many important take-home messages to educators that are worth considering and implementing for better future medical education. We highlight 5 of these messages; (1) redefining of

CONCLUSIONS: This study provides a novel approach for identifying the regions of high hospital bed demand during a health care emergency scenario by analyzing Twitter sentiment data. Leveraging analyses that take advantage of natural language

CONCLUSION: We found that the highest quartile ADI was associated with greater concerns related to COVID-19. By identifying vulnerable population to concerns related to COVID-19, health systems may consider preventive intervention to mitigate mental