PubMed COVID-19 Clinical Care

CONCLUSION: This study shows that the antibody index among individuals who had both vaccination and COVID-19 infection is significantly higher than those who just had vaccination. T helper cell to T cytotoxic cell ratio is lowered in the recovered

CONCLUSIONS: Given the indirect relationship between COVID-19 and type D personality, the mediating variables of stress and anxiety can be considered full mediating variables.

CONCLUSIONS: Assessing feelings of risk of COVID-19 may provide the best insight into people's perceived threat of this virus.

CONCLUSIONS: The understanding of what motivates individuals to participate in sport seems to have significant value, especially for health practitioners and researchers to design appropriate interventions and programs to increase activity.

CONCLUSIONS: Because future anxiety was stronger in women, medical students, some master's students and working people, preventive measures should be taken to prevent excessive anxiety and to promote mental health in these groups.

CONCLUSION: The study demonstrates the impacts of the COVID-19 pandemic response on AH professionals. Gleaned in a context with limited community disease transmission and without the challenges of providing care for large numbers of COVID-19 patients

Covid-19 pandemic affected the health care systems globally. In many countries, healthcare services were overwhelmed by the huge number of Covid cases; hence, shifting the focus from locally endemic infectious diseases. Such a case presented to us

Studying a large number of variables measured on the same observations and organized in blocks - denoted multiblock data - is becoming standard in several domains especially in biology. To explore the relationships between all these variables - at

Due to the constraints of the COVID-19 pandemic, healthcare workers have reported behaving in ways that are contrary to their values, which may result in distress and injury. This work is the first of its kind to evaluate the presence of stress in

Machine/deep learning has been widely used for big data analysis in the field of healthcare, but it is still a question to ensure both computation efficiency and data security/confidentiality for the protection of private information. Referring to