PubMed COVID-19 Clinical Care

CONCLUSIONS: Results from this study are consistent with previous literature on vaccine hesitancy, whereby normative beliefs and adherence to CDC guidelines were found to be determinants of vaccine willingness. To reduce transmission of the COVID-19

CONCLUSION: We urge the RCCE partners to make use of the findings and recommendations to develop a robust RCCE strategy relevant to local culture and context, responsive to people's concerns and needs, and inclusive of gender, age and social

CONCLUSIONS: Differences in timing of vaccine uptake among respondents and greater vaccine hesitancy among NH Black participants compared to other racial/ethnic groups highlight a need for continued tailored outreach and communication using trusted

We present a case of a 57-year-old male patient with a history of prolonged intensive care unit (ICU) stay for coronavirus disease 2019 (COVID-19) who developed fungal spondylodiscitis, a rare complication. The patient initially presented complaining

CONCLUSION AND RECOMMENDATIONS: Challenges faced by the pregnant HCPs due to their nature of work remain by and large not addressed. Hence, specific guidelines or SOPs addressing these issues of pregnant health care workers and their swift and strict

Severe acute hypercapnia is independently associated with increased adverse effects and intensive care unit mortality in mechanically ventilated patients. During the severe acute respiratory syndrome coronavirus 2 (COVID-19) pandemic, some patients

Objectives: Electronic health records (EHRs) have transformed the way modern medicine is practiced, but they remain a major source of documentation burden among physicians. This study aims to use data from Signal, a tool provided by the Epic EHR, to

Respiratory virus infections initiate and transmit from the upper respiratory tract (URT). Coronaviruses, including OC43, are a major cause of respiratory infection and disease. Failure to mount an effective anti-viral immune response in the nasal

CONCLUSIONS: We identified age-specific barriers to CRC screening and tailored messaging to motivate participation among unscreened Black people age ≥ 45. Findings informed the development of the NCCRT and ACS guidebook for organizations and

We have developed a machine learning (ML) approach using Gaussian process (GP)-based spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving host-pathogen balance in biology. We show how SCV can be applied to