close-up of coronavirus in front of stock market trend

David Gurarie, of the Department of Mathematics, explains discrepancies of coronavirus models that affect predictions for the pandemic

Ohio coronavirus model discrepancies leave some with questions

WEWS-ABC-5: David Gurarie, a professor in the Department of Mathematics, Applied Mathematics and Statistics, responded to a report from MetroHealth System that indicated the peak for COVID-19 in Cuyahoga County may be significantly lower in the number of infections than originally expected, and that the county could see sustained impact driven by clusters of infection rather than a single large surge: “Unfortunately there are many uncertain things about COVID that is very difficult at the moment to include,” said Gurarie, who added that such models will have a margin of error because there are still unknowns on how coronavirus spreads. “That’s why you have big disparities in their predictions.”