PubMed COVID-19 Clinical Care

A variety of factors influenced the American public's experiences with the COVID-19 pandemic and initial availability and uptake of COVID-19 vaccines. To examine variation in early COVID-19 vaccine uptake based on neighborhood disadvantage along with

CONCLUSION: Ensitrelvir was well tolerated by participants with renal impairment. There was no clinically meaningful increase on exposure to ensitrelvir in participants with renal impairment, indicating that no dose adjustment would be required due

COVID-19 has become endemic, with dynamics that reflect the waning of immunity and re-exposure, by contrast to the epidemic phase driven by exposure in immunologically naïve populations. Endemic does not, however, mean constant. Further evolution of

Improving human papillomavirus (HPV) vaccination is a national priority but uptake declined following the coronavirus pandemic. A strong predictor of HPV vaccination in the USA is a strong provider recommendation. Therefore, we developed a brief

Discovering causal influences among internal variables is a fundamental goal of complex systems research. This paper presents a framework for uncovering hidden relationships from limited time-series data by combining methods from nonlinear estimation

CONCLUSION: Though the EU has carefully developed a transnational perspective on health care, the EU has not developed any authority with respect to transnational public health. Though public health and health promotion in border regions have been

INTRODUCTION: The COVID-19 pandemic has had both direct and indirect impacts on the health of populations worldwide. While racial/ethnic health inequities in COVID-19 infection are now well known (and ongoing), knowledge about the impact of COVID-19

CONCLUSION: The study has brought to light that the virtual education environment comes with its own expectations, experiences and challenges to students. Provision of adequate support such as orientation and simulation laboratories by higher

A significant challenge in machine learning-based medical image analysis is the scarcity of medical images. Obtaining a large number of labeled medical images is difficult because annotating medical images is a time-consuming process that requires

CONCLUSIONS: Results of the present study, paired with findings from an earlier TELL RCT with children with developmental speech and/or language impairments, suggest that children enrolled in TELL classrooms achieve higher outcomes on a variety of