Semantic FAIRness framework proposed to enhance COVID-19 data integration in the UAE
New data integration framework proposed for UAE COVID-19 research
This narrative review proposes a semantic FAIRness framework for integrating and analyzing COVID-19 epidemiological data in the UAE. The fra…
A new framework aims to improve how epidemiological data is integrated and analyzed for COVID-19 research in the UAE, though it has not yet …
Mendelian randomization suggests potential causal link between severe COVID-19 and polymyositis risk
Severe COVID-19 May Set Off a Rare Muscle Disease, Genetic Study Hints
A single-center cohort study of 108 hospitalized COVID-19 patients used Mendelian randomization to explore associations with polymyositis.
A new genetic analysis adds to growing concern that severe COVID-19 can quietly trigger immune attacks on healthy muscle months later.
Surveillance report describes underlying health conditions in US COVID-19 cases
What health conditions are most common among people with COVID-19?
A US surveillance report provides observational data on underlying health conditions among COVID-19 cases.
A new U.S. report describes the most common underlying health conditions found among people with COVID-19 as of May 30, 2020.