PubMed COVID-19 Clinical Care

Circulation of SARS-CoV-2 Omicron XBB has resulted in the emergence of XBB.1.5, a new Variant of Interest. Our phylogenetic analysis suggests that XBB.1.5 evolved from XBB.1 by acquiring the S486P spike (S) mutation, subsequent to the acquisition of

CONCLUSIONS: Social distancing policies aim to reduce the severity of local pandemics; however, the findings reveal that mitigating local pandemics may reduce their impact. Future policymakers should be alert to this phenomenon and introduce

CONCLUSIONS: Despite being at risk for more severe outcomes with COVID-19, children with high SVI had lower levels of masking adherence compared to those with low SVI. Our findings highlight opportunities for improved and targeted messaging in these

CONCLUSIONS: In our experience, all kidney transplant recipients reached antibody titers higher than 260 BAU/mL 3 months after receiving prophylactic treatment with tixagevimab-cilgavimab with no severe or irreversible adverse reactions.

CONCLUSIONS: Vaccination was associated with a decreased risk of post-acute sequelae of COVID-19, suggesting its potential role in mitigating the indirect impacts of COVID-19.

The high prevalence of stress-related disorders and depression underscores the urgent need to unravel their impact on individual well-being. This study aim to investigate common psychiatric and stress-related diagnoses, along with postviral fatigue

COVID-19 pregnancies are associated with increased rates of premature delivery and stillbirths. It is still a matter of debate whether there is a COVID-19-associated pattern of placenta pathology. We updated our previously published results on a

CONCLUSIONS: There exists strong genetic evidence linking environmental factors, smoking and lung function, and COVID-19's severity. Mild COVID-19 is also captured, but to a lesser extent, through minimal evidence. Low lung function exacerbates COPD

No abstract

Massive sequencing of SARS-CoV-2 genomes has urged novel methods that employ existing phylogenies to add new samples efficiently instead of de novo inference. 'TIPars' was developed for such challenge integrating parsimony analysis with pre-computed