PubMed COVID-19 Clinical Care

No abstract

We develop a nonparametric model to study health spillover effects of policy interventions. We use double/debiased machine learning to estimate the model using data from 74 hospitals in Rio de Janeiro, Brazil, and examine cross-patient spillover

CONCLUSIONS: The IMC nurses showed good adaptation to the exacerbated situation caused by the COVID-19 pandemic. The ward nurses, followed by the OR nurses, were the most vulnerable to mental and physical exhaustion, which threatened the nurses'

CONCLUSION: This survey showed that public facilities appeared to be better prepared from an organizational point of view than private facilities. Rescheduling the examinations booked during the first COVID-19 wave was challenging and not always

No abstract

In recent years, there has been a notable and concerning rise in the prevalence of mental disorders, indicating a growing societal challenge that warrants attention and support for affected individuals. Psychiatric problems range on a wide spectrum

CONCLUSIONS: With high sensitivity FEES® and fast MRI provide an insight into the gargling pattern. Data show, during gargling, the fluid covers the soft tissue in the oral cavity and the anterior part of the soft palate, but not the posterior

Since its outbreak in late 2019, the COVID-19 pandemic has drawn enormous attention worldwide as a consequence of being the most disastrous infectious disease in the past century. As one of the most immediately druggable targets of SARS-CoV-2, the

BACKGROUND AND OBJECTIVES: We explored potential challenges to accessing office-based opioid treatment (OBOT) with buprenorphine during the COVID-19 pandemic.

CONCLUSION: The novel initiatives and developed strategies in this round of Iran STEPS survey provide a state-of-the-art protocol for national surveys in the presence of an overwhelming catastrophe like the COVID-19 pandemic and the triggered