PubMed COVID-19 Clinical Care

Nurse well-being and optimism were tested in the midst of COVID-19 patient surges and staffing challenges. Using the American Nurses Foundation Gratitude Toolkit, a health system implemented monthly gratitude practices at 4 hospitals. Validated

CONCLUSIONS: Patients who need to be hospitalized with COVID-19 and who do not have acute and/or chronic liver disease, elevated liver function test results, and an increase in liver sizes at presentation, it was seen that these did not have an

Physical activity is associated with improved health outcomes among people with HIV (PWH). In the recent pandemic context, policies designed to mitigate COVID-19 transmission may result in an increase in sedentary lifestyle and decreased physical

COVID-19 is a multi-organ disease with a broad spectrum of manifestations. Many affected individuals have major difficulties in resuming their previous daily routine or occupation as a result of the disease. Currently, no causal therapeutic

CONCLUSIONS: According to the results mentioned in the text, because SAT may be challenging for early diagnosis, due to the potential of classic symptoms as well as the interference of similar clinical symptoms between thyrotoxicosis and viral

No abstract

CONCLUSION: This systematic review provides comprehensive evidence on health literacy and COVID-19 vaccine acceptance globally. There was significant heterogeneity in the study population and measurement tools used for health literacy and COVID-19

CONCLUSION: Our investigation offers potential therapeutic targets/biomarkers, sheds light on the immune response in geriatric patients with sepsis-induced ARDS, emphasizes the association between sepsis/sepsis-ARDS and COVID-19, and proposes

Exercise is an evidence-based treatment for depressive symptoms, yet it often requires specialised knowledge, equipment, or professional supervision. Lay people in certain contexts, for example in remote locations or under pandemic restrictions

Wastewater-based epidemiology has emerged as a viable tool for monitoring disease prevalence in a population. This paper details a time series machine learning (TSML) method for predicting COVID-19 cases from wastewater and environmental variables