PubMed COVID-19 Clinical Care

No abstract

The SARS-CoV-2 has infected many people globally with the ravaging COVID-19; a disease, which has become challenging for every aspect of modern healthcare. The saliva and oral mucosa are sites of high risk for increased viral loads, and aside from

CONCLUSION: Deeply phenotyped comorbidity-free young patients with critical and non-critical SARS-CoV-2 infection are characterized by a unique set of expressed RNA variants. The findings in this study can inform the patient classification process in

CONCLUSION: The COVID-19 pandemic has had a significant impact on the anxiety levels of the medical staff and the public, with the medical personnel showing a higher anxiety level than the public, especially female medical staff in Wuhan. Therefore

Controlling human mobility is thought to be an effective measure to prevent the spread of the COVID-19 pandemic. This study aims to clarify the human mobility types that impacted the number of COVID-19 cases during the medium-term COVID-19 pandemic

Fifteen years ago, Jane Guyer (2007) argued that the near future had largely disappeared from collective imaginaries, replaced by longer-term horizons associated with evangelical Christianity and free market capitalism. While not seeking to repudiate

Potent neutralizing antibodies (nAbs) against SARS-CoV-2 are a promising therapeutic against the ongoing COVID-19 pandemic. However, the continuous emergence of neutralizing antibody escape variants makes it challenging for antibody therapeutics

The COVID-19 epidemic has proved a nightmare for human beings living all across the globe. It has severely affected all segments of human life. Consequently, enormous research has been conducted to assess and counter this global pandemic. This study

The high mutation rate of SARS-CoV-2, which has led to the emergence of a number of virus variants, creates risks of transmission from humans to animal species and the emergence of new animal reservoirs of COVID-19. This study aimed to identify

MOTIVATION: Public health authorities monitor cases of health-related problems over time using surveillance algorithms that detect unusually high increases in the number of cases, namely aberrations. Statistical aberrations signal outbreaks when