PubMed COVID-19 Clinical Care

This article explores how 'funeral' was articulated in Swedish newspapers during the Covid-19 pandemic and how such articulations relate to power and ideology. Articles from the six most prominent Swedish newspapers, published over 2 years, have been

mRNA vaccines, particularly, have been associated with an increased risk of allergic reactions and rarely anaphylaxis. Although rare, vaccine reactions can cause significant anxiety and fear in the population, leading to indecision and vaccine

CONCLUSION: We found an association between elbow fractures in a pediatric population and outdoor playground accessibility, but also with indoor public locations. Our findings emphasize the importance of safety measures in those facilities.

The COVID-19 pandemic has significantly impacted human health for three years. To mitigate the spread of SARS-CoV-2, the development of neutralizing antibodies has been accelerated, including the exploration of alternative antibody formats such as

The success of the first licensed mRNA-based vaccines against COVID-19 has created a widespread interest on mRNA technology for vaccinology. As expected, the number of mRNA vaccines in preclinical and clinical development increased exponentially

The Nexus vision of simultaneously transforming health professions education and healthcare delivery to achieve Triple (now Quadruple) Aim outcomes was first articulated in the 2012 proposal and funding of the National Center for Interprofessional

CONCLUSIONS: Although AAC was mostly positively received in Dutch general practice, implementation turned out to be challenging, especially for GPs. Lack of time to discuss smoking was a major barrier in the implementation. Future efforts should

CONCLUSION: This study suggests that L. plantarum is a potential vector that can effectively deliver SARS-CoV-2 epitopes to intestinal mucosal sites and could serve as a novel approach for SARS-CoV-2 mucosal vaccine development.

CONCLUSIONS: Our study is meaningful in that we developed an early mortality prediction model using only the initial chest X-ray and EHR data of COVID-19 patients. Early prediction of the clinical courses of patients is helpful for not only treatment

In recent years, deep learning's identification of cancer, lung disease and heart disease, among others, has contributed to its rising popularity. Deep learning has also contributed to the examination of COVID-19, which is a subject that is currently