PubMed COVID-19 Clinical Care

No abstract

BACKGROUND: The long-term health consequences of COVID-19 remain largely unclear. The aim of this study was to describe the long-term health consequences of patients with COVID-19 who have been discharged from hospital and investigate the associated

CONCLUSION: Differential replication kinetics were shown between variants of concern which may explain, at least partly, the emergence and disease severity associated with new SARS-CoV-2 variants.

CONCLUSIONS: Both individual and relational factors influence vaccine hesitancy in Chinese cultural contexts Future vaccine promotion initiatives should focus on risk perceptions as well as influence from medical professionals, family and friends.

CONCLUSIONS: Our findings showcase levels of resilience and death anxiety in older adults during the covid-19 pandemic and suggest that resilience and death anxiety are inversely linked. This has implications on policy planning for future major

Scientifically relevant misinformation, defined as false claims concerning a scientific measurement procedure or scientific evidence, regardless of the author's intent, is illustrated by the fiction that the coronavirus disease 2019 vaccine contained

In earlier survey research, we observed a severe impact of the first peak of the COVID-19 pandemic on the subjective wellbeing, sleep and activity of adults aged 65 years or older in Flanders, Belgium. The impact on subjective cognitive functioning

CONCLUSION: Our results show that heterologous boost with MVC-COV1901 yielded an inferior immunogenicity but significantly fewer adverse events, compared with homologous boost with mRNA-1273. In people experienced severe adverse events after prime

CONCLUSION: The C4 has played an integral role in the State of Maryland's pledge to its citizens to deliver the right care to the right patient at the right time and can be considered as a model for adoption by other regions world-wide.

This paper develops a Bayesian model with a flexible link function connecting a binary treatment response to a linear combination of covariates and a treatment indicator and the interaction between the two. Generalized linear models allowing data