PubMed COVID-19 Clinical Care

CONCLUSIONS: The current review confirmed that COVID-19 vaccination is a cost-effective alternative in preventing and controlling COVID-19. In addition, it highlights the profound impact of variables such as dose size, target population, vaccine

Early stages of deadly respiratory diseases including COVID-19 are challenging to elucidate in humans. Here, we define cellular tropism and transcriptomic effects of SARS-CoV-2 virus by productively infecting healthy human lung tissue and using scRNA

This article discusses some of the major challenges that the clinical research community faced during the early days of the coronavirus disease 2019 pandemic. A model is offered that may assist other institutions while planning for future pandemics

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BACKGROUND: Although many people infected with SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) experience no or mild symptoms, some individuals can develop severe illness and may die, particularly older people and those with underlying

CONCLUSIONS: Our analyses provide evidence that suggest safety of the test-to-stay approach compared with quarantine measures. This approach offers a promising option to avoid use of quarantine after exposure to respiratory pathogens in daycare

INTRODUCTION: SARS coronavirus 2 (SARS-CoV-2) infects human angiotensin-converting enzyme 2 (hACE2)-expressing lung epithelial cells through its spike (S) protein. The S protein is highly glycosylated and could be a target for lectins. Surfactant

Coronavirus disease 2019 (COVID-19) burden has been identified to cause multiorgan damage. Respiratory compromise is still one of the most common presentations, but cardiac injuries like myocardial injury, ischemia, and conduction abnormalities are

CONCLUSION: The proportion of HBsAg seropositivity in ethnic minorities was 3.4%. POCT and commitment of dedicated personnel can overcome previously identified barriers resulting in a 100% LTC.

CONCLUSION: The ACTIV scale provides a valuable tool for practicing clinicians to predict the risk of in-hospital death in patients hospitalized with COVID-19.