PubMed COVID-19 Clinical Care

The aim of this study is to analyze and investigate the SARS-CoV-2 (SC-2) transmission with effect of heart attack in United Kingdom with advanced mathematical tools. Mathematical model is converted into fractional order with the help of fractal

CONCLUSION: Season-ending injuries occurred in 15.6% of players in this study with an overall rate of 1.74 season-ending injuries per 1,000 game exposures. The most significant risk factor associated with injury was minutes per game. Season-ending

Since the outbreak of the pandemic, various anti-SARS-CoV-2 drugs have been developed. In particular, 3CL protease (3C-like protease, 3CLpro) is an attractive drug target because it is an essential enzyme for viral multiplication and is present only

CONCLUSIONS: There has been widespread publication and citation of CRRT research in the past two decades. We provide an overview of current trends, global collaboration patterns, basic knowledge, research hotspots, and emerging frontiers.

Since 2019 the world is in a combat with the highly contagious disease COVID-19 that is caused by the rapid transmission of SARS-CoV-2 virus (severe acute respiratory syndrome- coronavirus-2). Detection of this disease in an early stage helps to

The coronavirus disease 2019 (COVID-19) caused several impacts. Focusing on 360 participants (178 males, 182 females), this study explored the association between COVID-19 related distress, risk perception, stigma, and vaccine hesitancy and

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

CONCLUSIONS: Our results show that most prognostic models for predicting mortality risk performed poorly in the older population with COVID-19, in each healthcare setting: hospital, primary care, and nursing home settings. Insights into factors

BACKGROUND: Viral respiratory tract infections are frequently complicated by secondary bacterial infections. This study aimed to use machine learning to predict the risk of bacterial superinfection in SARS-CoV-2-positive individuals.

A rapid, simple, sensitive, and selective point-of-care diagnosis tool kit is vital for detecting the coronavirus disease (COVID-19) based on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) strain. Currently, the reverse