PubMed COVID-19 Clinical Care

CONCLUSIONS: We propose 2 predictive algorithms based on routine clinical data that differentiate primary COVID-19 from incidental SARS-CoV-2 infection. These algorithms can provide a precise surveillance tool that can contribute to pandemic

To characterize Coronavirus Disease 2019 (COVID-19) transmission dynamics in each of the metropolitan statistical areas (MSAs) surrounding Dallas, Houston, New York City, and Phoenix in 2020 and 2021, we extended a previously reported compartmental

CONCLUSIONS: Our findings highlight the value of using data sources providing near real-time data, e.g., Google Trends, to detect trends in COVID-19 cases, in order to supplement and extend existing epidemiological models.

CONCLUSION: The COVID-19 pandemic appears to have shifted the epidemiological landscape of bronchiolitis, with a peak incidence in November instead of January/February. Non-RSV viruses (RV, influenza A and B, as well as metapneumovirus) have gained

CONCLUSIONS: We propose 2 predictive algorithms based on routine clinical data that differentiate primary COVID-19 from incidental SARS-CoV-2 infection. These algorithms can provide a precise surveillance tool that can contribute to pandemic

Objectives. The COVID-19 pandemic imposed unprecedented safety challenges on health care facilities. This study examined whether health care workers who deemed a better safety response to the pandemic by their units or employers experienced lower

CONCLUSIONS: In a phase 2 trial involving participants with multiple sclerosis, inhibition of CD40L with frexalimab had an effect that generally favored a greater reduction in the number of new gadolinium-enhancing T1-weighted lesions at week 12 as

KEY CLINICAL MESSAGE: COVID-19 psychosis is a potential long-term sequela of COVID-19. Vulnerable populations, such as individuals with sickle cell disease, are at high risk for psychosis. Given the limited number of cases, more investigations in the

CONCLUSIONS: Although nail changes look harmless, seeking Beau's lines during the physical examination might indicate past severe COVID-19 infection and a higher probability for reinfection and rehospitalisation.

Observational studies have reported high comorbidity between obesity and severe COVID-19. The aim of this study is to explore whether genetic factors are involved in the co-occurrence of the two traits. Based on the available genome-wide association