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Machine learning system predicts severe COVID-19

Story tips from Johns Hopkins experts on Covid-19

Because Purim in 2020 caused hundreds of Orthodox Jews to become ill or hospitalized with COVID-19 in the earliest stages of the pandemic, we realized that these patients who were convalescing when others were just coming in contact with SARS-CoV-2 for the first time were an important population to study to better understand why and how the virus spreads through a culturally bonded community, says study co-senior author Avi Rosenberg, M.D., Ph.D., assistant professor of pathology at the Johns Hopkins University School of Medicine. We felt with that insight, health care practitioners could develop strategies based on scientific evidence to limit the spread of COVID-19 while still enabling important religious and other cultural practices to go on, he explains.

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