PubMed COVID-19 Clinical Care

CONCLUSION: Findings from this study, obtained prior to the availability of COVID-19 vaccines and anti-viral medications, provide important 'benchmark data' to evaluate for changes in stress and symptom burden in patients with cancer in the

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COVID-19 has wreaked havoc on supply chains. This is particularly true for distribution centres as they struggle to bounce back amid the COVID-19 outbreak. While much literature has recently emerged on supply chain disruption, studies pertaining to

CONCLUSIONS: Results of this study show that during the COVID-19 lockdown there was an increase in basic food and prepared food purchases, while purchases of NBEDF and the proportion spent on food consumed away from home decreased. However, findings

Clinical trials in humans are vital to test safety and efficacy of new interventions and are accompanied with the complexity of related regulatory guidelines, stringent time frame and financial burden particularly when participants are children

Overcrowding and limited ability to social distance contribute to high rates of COVID-19 outbreaks in correctional facilities. Despite the Centers for Disease Controls' recommendations, incarcerated persons and correctional staff report a high

The use of coercive measures in mental health care is an important indicator of the quality of care being provided, and non-patient-related factors are increasingly recognized to contribute to their use. The study aimed to explore the perspectives of

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

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

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