PubMed COVID-19 Clinical Care

No abstract

The 2019 coronavirus disease (COVID-19) patients had a unique profile of gut bacteria. In this study, we characterized the intestinal bacteria in our COVID-19 cohorts and found that there was an increased incidence of severe cases in COVID-19

Coronaviruses are large RNA viruses that can infect and spread among humans and animals. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for coronavirus disease 2019, has evolved since its first detection in December 2019

Few older adults discuss their end-of-life care wishes with their physician, and even fewer minorities do this. We explored physicians' experience with advance care planning (ACP) including the barriers/facilitating factors encountered when

CONCLUSIONS: VA-issued tablets led to increased psychotherapy usage for all groups examined, with similar increases found for rural versus urban and Black versus White veterans and higher increases for women versus men. Eliminating barriers to

CONCLUSION: Collegiate athletes demonstrated a decrease in their self-reported mental QoL during the COVID-19 pandemic, as compared with before the pandemic. This effect was most evident in women and in individual sports. Athletes also reported an

The COVID-19 pandemic was characterized by multiple subsequent, overlapping outbreaks, as well as extremely rapid changes in viral genomes. The information about local epidemics spread and the epidemic control measures was shared on a daily basis

CONCLUSIONS: Our data demonstrated that IBV PL1pro plays a crucial role in IBV replication and the suppression of host innate immune responses, suggesting that IBV PL1pro could serve as a promising molecular target for antiviral therapy.

Objectives. To compare health insurance coverage and access to care by sex and sexual minority status during the COVID-19 pandemic and assess whether lack of insurance hindered access to care by sexual minority status. Methods. Using Behavioral Risk

Brazil was one of the countries most affected during the first year of the COVID-19 pandemic, in a pre-vaccine era, and mathematical and statistical models were used in decision-making and public policies to mitigate and suppress SARS-CoV-2