A new predictive model helps identify those at risk for severe COVID-19
China pioneers ‘virus passports’ as EU gets Russia jab boost
9 March 2021Therapy sneaks into hard layer of pancreatic cancer tumor and destroys it from within
9 March 2021A new predictive model helps identify those at risk for severe COVID-19
Researchers at the Buck Institute analyzed data from the COVID-19 Symptom Tracker app used by 3 million people in the United Kingdom, adding the use of immunosuppressant medication, use of a mobility aid, shortness of breath, fever, and fatigue to the list of symptoms and comorbidities that increase the risk for severe COVID-19. Results are published in the Journal of Medical Internet Research.
