PubMed COVID-19 Clinical Care

The COVID-19 pandemic has a massive impact on social life, the healthcare system, and also on health services research. However, the effects of the pandemic on research processes, methods, and the personal situation of researchers has not been

CONCLUSION: The study showed a low rate of the occurence of long-COVID> 3 months during the Omicron-wave among mostly vaccinated HCWs with no significant comorbidities. Furhter studies are needed to examine the effect of different vaccines on long

Patient-important outcomes related to coronavirus disease 2019 (COVID-19) continue to drive the pandemic response across the globe. Various prognostic factors for COVID-19 severity have emerged and their replication across different clinical settings

The outbreak of the novel coronavirus (COVID-19) was declared to be a global emergency in January of 2020, and everyday life throughout the world was disrupted. Among many questions about COVID-19 that remain unanswered, it is of interest for society

As a group of social scientists supporting a large, national, multi-site project dedicated to studying ecosystem services in natural resource production landscapes, we were tasked with co-hosting kick-off workshops at multiple locations. When, due to

CONCLUSION: We determined that the negative fluid balance was associated with favorable outcomes in COVID-19 patients. The negative fluid balance was associated with the reduced mortality rate and length of hospitalization as well as improvement in

This paper sought a qualitative/quantitative bibliometric approach, using the literature review, to present the main strategies with a bias toward sustainability, used by private Higher Education Institutions, in an attempt to neutralize the effects

Background This study aims to identify the coronavirus disease 2019 (COVID-19) pandemic impact on the academic, financial, psychological, and hygienic aspects of medical students at the University of Jeddah. Methodology Three hundred fifty medical

CONCLUSION: The results of this study showed that the use of ML algorithms can be a good tool to predict the risk of mortality and LoS of patients with COVID-19 and chronic comorbidities based on physiological conditions, symptoms, and demographic

Targeting structured RNA elements in the SARS-CoV-2 viral genome with small molecules is an attractive strategy for pharmacological control over viral replication. In this work, we report the discovery of small molecules that target the frameshifting