PubMed COVID-19 Clinical Care

No abstract

Though a series of computer aided measures have been taken for the rapid and definite diagnosis of 2019 coronavirus disease (COVID-19), they generally fail to achieve high enough accuracy, including the recently popular deep learning-based methods

CONCLUSION: This study provides novel insights into the comorbidity patterns that are more vulnerable to COVID-19 infections and hospitalisations, highlighting the vulnerability of those with CVD and other complex comorbidities. These findings

This study evaluated COVID-19-related intrusive thoughts and associated ritualistic behaviors (CITRB). From March to May 2020, 1,118 Chinese high school students, college students, psychiatric outpatients, and community members completed a survey

In response to the paper by Gatov and colleagues (2023), the authors of this commentary, both psychiatrists, consider ways of addressing long-standing gaps in access to mental health services in Canada. They note the innovation seen during the COVID

CONCLUSION: The prevalence of anxiety and non-psychotic disorders during the COVID pandemic was high. Implementation of health policies and interventions targeting identified risk factors is recommended.

No abstract

CONCLUSIONS: Italian healthcare professionals working during the pandemic overwhelmingly appreciated and valued the rolling e-learning offer aimed at widening the dissemination of the best practices on COVID-19. This educational model provides

CONCLUSIONS: These findings suggest that public health professionals and institutions should consider investing in social media representation to fill the gap with non-medical sources in terms of popularity, to provide reliable and interesting videos

The widespread dissemination of coronavirus 2019 imposes a significant burden on society. Therefore, rapid detection facilitates the reduction of transmission risk. In this study, we proposed a multiplex diagnostic platform for the rapid