PubMed COVID-19 Clinical Care

Background: The COVID-19 pandemic impacted the growth of telemedicine. The challenge was in the way of dermatologists, who needed a comprehensive examination of the lesions. Here, we tried a tele-management of patients with autoimmune bullous

PURPOSE: To examine changes in addiction medicine treatment utilization during the COVID-19 pandemic among adolescents (aged 13-17 years) and differences by race/ethnicity.

In this case report, we address the diagnostic challenges and clinical implications of severe infection with Lophomonas blattarum in a patient initially suspected of experiencing long COVID symptoms. We describe the patient's medical history, initial

CONCLUSION: We must continue the current policy flexibilities, safeguard against fraud and abuse, and immediately prioritize research and evaluation of telemedicine's quality, safety, and outcomes, to avoid unintended consequences and support more

CONCLUSIONS: The government persistently amends its policies in response to the evolving challenges posed by the pandemic. The evolution of the dynamic Zero-COVID strategy highlights the government's adaptability and comprehensive consideration

The COVID-19 pandemic and associated prevention strategies caused widespread interruptions to care and treatment for people living with HIV. Adolescents living with HIV (AWHIV) were particularly vulnerable to poor mental and physical health during

CONCLUSION: The study shows a key link between caregiver knowledge, attitudes, behaviors, and neonatal COVID-19 infection, with a gap between knowledge, attitudes, and behaviors. Caregivers, especially those dealing with premature infants, worried

INTRODUCTION: Colorectal cancer (CRC) is the third most common cancer worldwide in men and women. In the metastasized stage, treatment options and prognosis are limited. To address the high medical need of this patient population, we generated a

CONCLUSIONS: These findings support the feasibility of CM training in older Veterans with psychological distress, though dropouts highlighted potential need for additional strategies to facilitate telehealth participation.

We discuss how to assess the reliability of partial, anonymized mobility data and compare two different methods to identify spatial communities based on movements: Greedy Modularity Clustering (GMC) and the novel Critical Variable Selection (CVS)