PubMed COVID-19 Clinical Care

CONCLUSION: Psychosocial support programmes should be implemented to improve psychological resilience and coping strategies in nurses and organized education programmes are needed to increase positive attitudes towards vaccination.

CONCLUSIONS: New-onset CSU can rarely be triggered by COVID-19 vaccinations, most commonly mRNA vaccines. COVID-19 vaccine-triggered CSU appears to have a phenotype similar to that triggered by other inciting agents and across populations.

CONCLUSIONS: Our findings suggest that old age, female sex, a history of influenza vaccination, medical conditions, such as diabetes, hypertension, and depression, low-income families, blue-collar workers, and health-related risk factors, such as

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The pandemic of coronavirus infection and the general uncertainty and variability of the post-pandemic world developing with it have called into question the already outdated concept of chronological determination of the age of the older. Within the

CONCLUSIONS AND RELEVANCE: In this cohort study of 6866 individuals in British Columbia, nirmatrelvir and ritonavir treatment was associated with reduced risk of COVID-19 hospitalization or death in CEV individuals, with the greatest benefit observed

COVID-19 has greatly affected various aspects of societies worldwide, including the mental health and quality of education for students. Different studies investigated the consequences of the pandemic, but only a few studies have addressed the

Most individuals infected with or vaccinated against COVID-19 develop antigenic neutralizing immunoglobulin G (IgG) antibodies against the SARS-CoV-2 spike protein. Although neutralizing antibodies are biomarkers of the adaptive immune response

CONCLUSION: The use of Nintedanib has recently increased due to the high incidence of lung fibrosis post-COVID-19 infection. However, Nintedanib should be considered a causative agent for osteonecrosis of the jaw in the absence of other obvious

We report a nucleic acid-based point of care testing technology for infectious disease detection at resource limited settings by integrating a low-cost portable device with machine learning-empowered quantitative colorimetric analytics that can be