Predicting the course of a pandemic is a complicated proposition, especially when testing is limited.
As recently as the beginning of this month, Ohio was predicted to see as many as 10,000 new cases of COVID-19 per day by mid-April. More recent models reduce the peak to around 1,600 per day.
Today on All Sides with Ann Fisher, how modeling for COVID-19 has evolved as researchers learn more about the coronavirus.
- John Timmer, Senior Science Editor at Ars Technica
- Michael Oglesbee, professor of virology and comparative pathology, director of the Infectious Diseases Institute at The Ohio State University
- Grzegorz Rempala, math professor at The Ohio State University College of Public Health
- Joseph Tien, associate professor in the Department of Mathematics and the Division of Epidemiology at The Ohio State University
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