PubMed COVID-19 Clinical Care

Health care has forever changed in early 2021. Three years after the beginning of the COVID-19 world pandemic, we must seriously look at the role of the nurses and the model we deploy to ensure our health system's viability. In this article, the

The unparalleled speed of COVID-19 vaccine development has necessitated an expansion of existing knowledge on vaccination decision-making. The current study explored (1) how cognitions and emotions shaped college students' COVID-19 vaccination

CONCLUSION: The PACV showed similar calibration and discrimination across the six countries. It is transportable and can be used to assess attitudes towards influenza vaccination among parents in different countries using either the Arabic or English

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CONCLUSION: The combinations of these specific laboratory data: D-dimer/LDH/leukocytes or D-dimer/LDH/neutrophils or D-dimer/LDH/leukocytes/neutrophils were the best predictors of overweight lungs in patients with COVID-19 pneumonia at hospital

INTRODUCTION: With the inevitable technological boom enforced by the COVID-19 lockdowns and online emergency remote teaching practices, the prevalence of nomophobia (NMP) and smartphone addiction (SA) among adolescents has become a pressing issue

The transmission of viruses is largely dependent on contact with contaminated virus-laden communal surfaces. While frequent surface disinfection and antiviral coating techniques are put forth by researchers as a plan of action to tackle transmission

CONCLUSION: Almost half of participants reported COVID-19 fear more than 6 months after infection. Greater fear was associated with sociodemographic factors, physical activity prior to COVID-19 and COVID-19 symptom severity. There is a need to target

CONCLUSIONS: The disease progression is more severe in patients with high TAFI levels, and high TAFI levels are associated with mortality and intubation rates. Further studies are needed to determine serum TAFI levels as a biomarker of prognosis in

Artificial intelligence (AI), or machine learning, is an ancient concept based on the assumption that human thought and reasoning can be mechanized. AI techniques have been used in diagnostic medicine for several decades, particularly in image