PubMed COVID-19 Clinical Care
40231 - 40240 of 44979 results found
Exercise Intolerance Following COVID-19: What Is the Role of Dysfunctional Breathing?
Description
No abstract
Cowpox to COVID: History of vaccination in the immunocompromised host
Description
CONCLUSION: The history of vaccination demonstrates how scientific breakthroughs can be applied to clinical challenges. New approaches using adjuvants, strategic antigen selection, and RNA-based vaccines offer the potential to improve immune response
Care by general practitioners for patients with asthma or COPD during the COVID-19 pandemic
Description
The impact of the COVID-19 pandemic on general practitioners' (GP) care for patients with asthma and/or COPD is largely unknown. To describe the impact of the pandemic on asthma or COPD-related GP care, we analysed routinely recorded electronic
Are America's Caregivers on the Brink of Extinction? The Pandemic Straw that Broke the Nurses' Back
Description
The coronavirus disease 2019 pandemic has drawn attention to many of the inadequacies of the US health-care system. Perhaps, no profession has felt these shortcomings more than nurses. This female-dominated profession has the potential to suffer a
The impacts of COVID-19 on immigrants and the healthy immigrant effect: Reflections from Canada
Description
Discussions about potential long-term health consequences of the COVID-19 pandemic on immigrant health and the healthy immigrant effect (HIE) remain unaddressed. Drawing on Canada as a case study, we summarize the primary and secondary impacts of
Spatiotemporal characteristics of ozone and the formation sensitivity over the Fenwei Plain
Description
High surface ozone (O(3)) levels affect human and environmental health. The Fenwei Plain (FWP), one of the critical regions for China's "Blue Sky Protection Campaign", has reported severe O(3) pollution. This study investigates the spatiotemporal
Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy
Description
The paper proposes a methodology based on Natural Language Processing (NLP) and Sentiment Analysis (SA) to get insights into sentiments and opinions toward COVID-19 vaccination in Italy. The studied dataset consists of vaccine-related tweets
