PubMed COVID-19 Clinical Care

CONCLUSION: Loneliness and social isolation during COVID-19 were correlated with cognitive decline in older adults. The long-term effect of these impacts remains to be shown. Future studies may focus on interventions to mitigate the effects of

CONCLUSIONS: The identified methodological gaps highlight the need for more robust and reproducible approaches to using the copious data available on public MCF platforms. The integration of quantitative and qualitative methods will allow for nuanced

No abstract

CONCLUSIONS: NPIs transformed the epidemiological profile of common respiratory viruses among preschool children during the COVID-19 pandemic. To improve the overall public health response to all respiratory viruses, interventions targeting non

CONCLUSION: During the pandemic, most patients were satisfied with their current UC treatment plan and access to care; more patients relied on certain alternative UC management support systems, and many were impacted by anxiety/stress.

CONCLUSION: The incidence of IBS following COVID-19 was 12%. But it was not higher than the general population. We also found some predisposing factors for IBS including depression or anxiety, PCT.

CONCLUSIONS: This study concludes that variations in prevention and control policies among nations with varying income levels stem from variances in virus transmission characteristics, economic development, and control costs. This study can help

Worldwide, over 694 million people have been infected with SARS-CoV-2, with an estimated 55-60% of those infected developing COVID-19. Since the beginning of the pandemic in December 2019, different variants of concern have appeared and continue to

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to the development of various vaccines. Reports have emerged suggesting a possible association between SARS-CoV-2

Due to their various advantages, interest in the development of covalent drugs has been renewed in the past few years. It is therefore important to accurately describe and predict their interactions with biological targets by computer-aided drug