PubMed COVID-19 Clinical Care

CONCLUSIONS: The results identified the potential of on-the-job education activities, as well as that control and prevention measures protected worker health, and that worker mental health should be monitored.

We recently detected a HKU4-related coronavirus in subgenus Merbecovirus (named pangolin-CoV-HKU4-P251T) from a Malayan pangolin¹. Here we report isolation and characterization of pangolin-CoV-HKU4-P251T, the genome sequence of which is closest to

CONCLUSIONS: Tele-visit delivered outpatient IBD care is not associated with higher risk of IBD-related hospitalization. These findings may reassure clinicians that tele-visit-delivered outpatient care is appropriate for patients with complex chronic

CONCLUSION: The interplay between slow vaccination and low GDP per capita drives high mortality.

CONCLUSIONS: Epidemiologically, the impact of the COVID-19 pandemic on Awaji Island showed a similar trend to that in Japan, but the results of the survey questionnaire indicated that doctors working full time at our hospital were not necessarily

This study estimates the association between emergency department (ED) visits for mental health disorders (MHDs) and the health context of the COVID-19 pandemic in the French region of Nouvelle-Aquitaine. This retrospective study took place between

BACKGROUND: The UK transition from a 2 + 1 to a 1 + 1 infant immunisation schedule with the 13-valent pneumococcal conjugate vaccine (PCV13) on Jan 1, 2020, coincided with the start of the COVID-19 pandemic. We describe the epidemiology of invasive

We present compelling evidence for the existence of an extended innate viperin-dependent pathway, which provides crucial evidence for an adaptive response to viral agents, such as SARS-CoV-2. We show the in vivo biosynthesis of a family of novel

CONCLUSIONS: All radiomics features were affected by reconstruction methods and parameters, but features with small or very small variations are considered better candidates for reproducible quantification of either tumor or metastatic tissues in

Herein, we propose a novel dataset distillation method for constructing small informative datasets that preserve the information of the large original datasets. The development of deep learning models is enabled by the availability of large-scale