PubMed COVID-19 Clinical Care

Dopamine is a known catecholamine neurotransmitter involved in several physiological processes, including motor control, motivation, reward, cognition, and immune function. Dopamine receptors are widely distributed throughout the nervous system and

CONCLUSIONS: Study findings identify factors influencing the LIVE Program's acceptability by patients, family caregivers, and healthcare providers during pandemic conditions including enhanced access to care, ease of case management triage, and VAI

Infectious disease models can serve as critical tools to predict the development of cases and associated healthcare demand and to determine the set of nonpharmaceutical interventions (NPIs) that is most effective in slowing the spread of an

Mental Health Practitioners (MHPs) have a unique opportunity to provide resources and support to those suffering from Long COVID (LC), the post infectious illness that often follows an acute SARS-CoV-2 infection. In working with these individuals

This systematic review provides a comprehensive overview of natural SARS-CoV-2 infections in companion animals. The findings show that these infections are relatively rare. Among the examined dogs, only 1.32% tested positive for SARS-CoV-2, while for

The coronavirus disease-2019 pandemic reflects the underdevelopment of point-of-care diagnostic technology. Nuclei acid (NA) detection is the "gold standard" method for the early diagnosis of the B.1.1.529 (Omicron) variant of severe acute

Spatial scan statistics are commonly used to detect clustering. We present a Bayesian spatial scan statistic for multinomial data. After validating our method with a simulation study, we use it to detect clusters of SARS-CoV-2 infection/immunity in

CONCLUSIONS: The study provides valuable information on the usefulness of teaching modalities that were implemented in response to the COVID-19 pandemic and their merit to be retained in future deliveries of the course. The 3D models have been

In the field of biomedicine, enormous data are generated in a structured and unstructured form every day. Soft computing techniques play a major role in the interpretation and classification of the data to make appropriate decisions for making

COVID-19 has brought with it a global crisis, but it also highlighted many important take-home messages to educators that are worth considering and implementing for better future medical education. We highlight 5 of these messages; (1) redefining of