PubMed COVID-19 Clinical Care

CONCLUSION: Our findings shed light on assessing early signs of depression to prevent the formation of suicidality among bullied youth.

The Coronavirus disease 2019 (COVID-19) pandemic presented the scientific community with an immediate need for accurate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serology assays, resulting in an expansion of assay development, some

CONCLUSIONS: The Unity Studies initiative created a highly valued community of practice, contributed to study implementation and research equity, and serves as a valuable framework for future pandemics. To strengthen this platform, WHO should

In March of 2020, Texas declared a statewide public health emergency in response to the rapidly spreading COVID-19 virus, forcing the shutdown of many critical operations across the state. The pandemic has had a massive impact on the refugee

The Post-Acute Sequelae of COVID-19 (PASC) Syndrome is a debilitating syndrome with onset three months post COVID-19 infection, marked by the presence of fatigue, headache, cognitive dysfunction, post-exertional malaise, orthostatic intolerance, and

This study aimed to develop a computed tomography (CT)-based radiomics model to predict the outcome of COVID-19 pneumonia. In total of 44 patients with confirmed diagnosis of COVID-19 were retrospectively enrolled in this study. The radiomics model

CONCLUSION: The low prevalence of APLA in CCP donors reassures the safety of CCP administration to patients with severe COVID-19.

Following vaccination, patients can develop symptoms of eczema flare, which could range from mild skin irritation and urticaria to diffuse skin involvement. Delayed immunologic reactions have been described in association with the novel mRNA COVID-19

The COVID-19 pandemic has resulted in governments playing increasingly prominent roles as active economic agents. However, state capitalism does not necessarily serve broad developmental purposes, and rather can be directed to supporting sectional

In recent years, social network sentiment classification has been extensively researched and applied in various fields, such as opinion monitoring, market analysis, and commodity feedback. The ensemble approach has achieved remarkable results in