PubMed COVID-19 Clinical Care

Antibodies on mucosal surfaces of the upper respiratory tract have been shown to be important for protection from infection with SARS-CoV-2. Here we investigate the induction of serum IgG, saliva IgG, and saliva sIgA after COVID-19 mRNA booster

CONCLUSION: Machine and deep learning methods have been shown to be valuable tools for predicting disease severity, organ dysfunction and failure, patient outcomes, and hospital resource utilization during the COVID-19 pandemic. The discovered

The coronavirus disease 2019 (COVID-19) pandemic is challenging healthcare systems worldwide. The prediction of disease prognosis has a critical role in confronting the burden of COVID-19. We aimed to investigate the feasibility of predicting COVID

CONCLUSION: Physical health continued to be worse 1 year later compared with before the COVID-19 lockdowns in patients with inflammatory arthritis. Mental health showed long-term effects on quality of life, with an impact for ≥12 months. Lastly

A 33-year-old female was admitted to our department complaining of multifocal paresthesia and weakness of the upper and lower extremities that had developed over the previous three months. She had also been undergoing treatment for atopic dermatitis

CONCLUSION: ECS are a disparate population, with worsening behaviors and mental health following the pandemic. The identified ECS-specific barriers and facilitators to behavioral intervention participation are being used to simultaneously improve the

CONCLUSIONS: A wide range of NPIs impacted the dynamics of the RSV outbreaks throughout 2020-2023 in regard to timing, magnitude, and age structure, with important implications in a low- and middle-income countries (LMICs) setting where RSV

Acute respiratory disease syndrome (ARDS) is a common critical disease with high morbidity and mortality rates, yet specific and effective treatments for it are currently lacking. ARDS was especially apparent and rampant during the COVID-19 pandemic

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Studying a large number of variables measured on the same observations and organized in blocks - denoted multiblock data - is becoming standard in several domains especially in biology. To explore the relationships between all these variables - at