PubMed COVID-19 Clinical Care

CONCLUSIONS: In this study, a large oncology dataset showed that telemedicine resulted in better patient experience of care in terms of access and care provider concern compared with in-person visits. Patient experience of care with telemedicine

Despite significant investigation into the effects of COVID-19 on cardiovascular disease, there is a paucity of national data specifically examining its effects on heart failure (HF) hospitalizations. Previous cohort study data demonstrate worsened

CONCLUSION: Pre-pandemic vulnerability and pandemic-related hardship had cumulative effects on psychological distress during the COVID-19 pandemic. Adequate and equitable responses to pandemics and disasters may require more intensive supports for

CONCLUSIONS: Preferences for introduction of a COVID-19 certificate are mixed. A certificate that allows for shopping without appointment and visiting bars and restaurants is likely to increase acceptance. The support of younger citizens and those

OBJECTIVE: Self-medication has become a major concern among nonmedical professionals during the treatment of COVID-19. Such concerns have been attributed to the adverse effect of information shared via media outlets. Here, a survey was undertaken

No abstract

CONCLUSIONS: We found evidence of significant differences in the proportionate distribution of SARS-CoV-2 infection by occupation and industry among respondents in a multistate, population-based survey, highlighting the excess risk of SARS-CoV-2

Osteoporotic vertebral fractures are frequently misdiagnosed or under-recognized in the older population, leading to disease progression and reduced quality of life. This case of an 87-year-old woman with acute back pain highlights the importance of

The COVID-19 pandemic generated debates about how pandemics should be known. There was much discussion of what role the human sciences could play in knowing - and governing - the pandemic. In this article, we focus on attempts to know the pandemic

Correlates of protection (CoP) are biological parameters that predict a certain level of protection against an infectious disease. Well-established correlates of protection facilitate the development and licensing of vaccines by assessing protective