PubMed COVID-19 Clinical Care

The COVID-19 pandemic has imposed substantial burdens on the global society. To find an optimal combination of wastewater surveillance and clinical testing for tracking COVID-19, we evaluated the economic efficiency of hypothetical screening options

Our study is aimed to access the efficacy and safety outcomes for coronavirus disease 2019 (COVID-19) patients treated with Paxlovid. According to inclusion and exclusion criteria, databases were used to retrieve articles from 1 January 2020 to 1

CONCLUSIONS: In contrast to the no-treatment condition, both the in-person and telepractice conditions showed the benefits of conversation group treatment. The in-person treatment condition showed improvements in a wider number of outcome measures

In the midst of the COVID-19 pandemic, intensive care units (ICUs) around the world have been pushed to their limits as they grapple with the effects of the SARS-CoV-2 virus. Identifying prognostic factors that influence mortality in COVID-19

CONCLUSION: We demonstrated that systemic inflammation may occur in subjects who have received the ChAdOx1 nCoV-19 vaccination. Moreover, we proposed immune markers, which may be implicated in the pathogenesis of systemic inflammation following COVID

SARS-CoV-2 main protease (M^(pro)) is a validated antiviral drug target of nirmatrelvir, the active ingredient in Pfizer's oral drug Paxlovid. Drug-drug interactions limit the use of Paxlovid. In addition, drug-resistant M^(pro) mutants against

CONCLUSION: The present study found that anxiety about the COVID-19 pandemic was significantly associated with sleep disorder, with the decreased frequency of going out mediating this association.

INTRODUCTION: School-based health centers (SBHCs) provide students with critical, cost-effective access to health care. The pandemic accelerated a shift in SBHC care delivery. From the viewpoint of SBHC state leadership, this study aimed to describe

CONCLUSION: PFA may be a cost-effective intervention in stable COVID-19 admitted patients who had depression, anxiety, and stress.

CONCLUSION: We evaluate these models and provide future infectious disease outbreak modeling guidelines for Bayesian spatiotemporal analysis. Our choice of the likelihood and spatiotemporal mean models was influenced by both historical data length