PubMed COVID-19 Clinical Care

No abstract

Scientific evidence regularly guides policy decisions¹, with behavioural science increasingly part of this process². In April 2020, an influential paper³ proposed 19 policy recommendations ('claims') detailing how evidence from behavioural science

This article explores the perception of violence against women (VAW) in the Middle East and North Africa in the aftermath of the COVID-19 pandemic using Arab Barometer VI parts 1 and 3 (N = 12,548). Results showed that men and social conservatism

The clinical significance of volatile organic compounds (VOC) in detecting diseases has been established over the past decades. Gas chromatography (GC) devices enable the measurement of these VOCs. Chromatographic peak alignment is one of the

CONCLUSIONS: Our MR analysis provides compelling evidence of causal associations between genetic susceptibility to COVID-19 and specific PCS symptoms, in which educational and income levels play a mediating role. These findings shed light on PCS

CONCLUSIONS: Blood group O is more prevalent among patients with VITT-CVT after ChAdOx1-S vaccination compared with unvaccinated cases, independent of well-established CVT risk factors. A larger dataset may be able to determine whether those of blood

CONCLUSIONS: Restrictions such as lockdowns affect coercive measures and resulted in fewer but longer involuntary psychiatric admissions during weeks of lockdown in Austria. These results strengthen previous findings that showed the dependence of

CONCLUSIONS: Despite the significant increase in the morbidity and mortality rates of COVID-19, the coverage of vaccination among the population remained insufficient in Ukraine. The effective COVID-19 vaccination strategy should include appropriate

CONCLUSION: Our novel in silico pipeline integrates effective methods from previous studies to predict and validate siRNA molecules, having the potential to inhibit viral replication pathway in vitro. In total, this study identified 17 highly

Machine/deep learning has been widely used for big data analysis in the field of healthcare, but it is still a question to ensure both computation efficiency and data security/confidentiality for the protection of private information. Referring to