PubMed COVID-19 Clinical Care

No abstract

The ongoing COVID-19 pandemic highlights that complications and mortality associated with infectious diseases increase with age. Various vaccines are recommended for adults, but coverage rates remain suboptimal. Although co-administration would

Telemedicine is the delivery of health care from a distance. It also includes research and evaluation of such services using health data which are stored in "Electronic Health Record" (EHR) platforms. EHR has proved to be useful in monitoring health

CONCLUSIONS: Around 1 in 10 pregnant women and just over 1 in 13 postnatal women reported vaccine hesitancy in this Australian survey, and hesitancy was higher in the latter 3-month period. Tailored messages to younger mothers and those from lower

The single-stranded RNA virus, SARS-CoV-2, causing the COVID-19 pandemic has severely impacted daily life globally. It has been suggested to supplement the general population with vitamin D to reduce the impact of COVID-19. Nevertheless, no clear

CONCLUSION: As the adoption of virtual simulation increases, clear definitions of what constitutes clinical virtual simulation must be established. Additionally, rigorous inquiry to support evidence-based regulatory guidelines is needed.

Recent experimental studies have indicated the potential for ultraviolet-C irradiation at 222nm (Far-UVC) to be used in occupied rooms to safely reduce exposure to airborne pathogens. We present simulations applying a Monte Carlo radiation transfer

Novel targeting agents for hematologic diseases often exert on- or off-target immunomodulatory effects, possibly impacting on response to anti-SARS-CoV-2 vaccinations and other vaccines. Agents that primarily affect B cells, particularly anti-CD20

India experienced the second wave of SARS-CoV-2 infection from April 3 to June 10, 2021. During the second wave, Delta variant B.1617.2 emerged as the predominant strain, spiking cases from 12.5 million to 29.3 million (cumulative) by the end of the

CONCLUSION: We proposed cutoff values of certain biochemical parameters, which will help in judging the severity of the infection at admission. We developed a predictive model with a significant predictive capability for CRP and ferritin values