PubMed COVID-19 Clinical Care

No abstract

CONCLUSIONS: The average daily direct hospital cost is higher among patients with COVID compared with non-COVID-related illness. Many reasons contributed to this cost difference, including decreased nurse staffing ratios, lower physician censuses

CONCLUSION: The highest positive rates in 5 ~ 15 age-group suggested the susceptible in this age-group mostly had infected with infected B/Victoria. Influenced by the emergence of COVID-19 and NPI responses, the epidemic patterns and trends of

Vaccine hesitancy is an ongoing barrier to achieve sufficient COVID-19 vaccination coverage. Although there are many studies globally of vaccine hesitancy based on large survey samples, there are fewer in-depth qualitative studies that explore

CONCLUSIONS: In conclusion, this paper demonstrates the potential of ChatGPT as a valuable tool in the monitoring of the pandemic. By processing large amounts of data and providing relevant information, ChatGPT has the potential to provide accurate

CONCLUSIONS: Patients with chronic lung disease or greater COVID-19 admission symptoms have higher Long COVID risk. SARS-CoV-2 variant was not predictive of Long COVID though in wave 2 we identified fewer admission symptoms, improved clinical

Multisystem inflammatory syndrome in children (MIS-C) has been widely reported, mainly in Western countries. The clinical features of MIS-C and Kawasaki disease are similar. The latter is common in Asian countries, including Japan. Meanwhile, the

CONCLUSION: New Yorkers with HIV experienced elevated risk for poor COVID-19 outcomes compared to those without HIV during 2020. PWH, particularly those with low CD4 counts or underlying conditions, should be an ongoing focus for COVID-19 vaccination

The Covid-19 pandemic has impacted and infiltrated every aspect of our lives. Successive lockdowns, social distancing measures, and reduction in economic activity have developed a new way of living and, in many cases, tend to lead to depression. The

BACKGROUND AND OBJECTIVES: Multiple scoring systems were used for risk stratification in COVID-19 patients. The objective was to determine among 6 scores which performed the best in predicting short-and long-term mortality in hospitalized COVID-19