High-resolution spatial analysis to inform the response to COVID-19 in Michigan

“Dr. Zelner and his team are building a model to predict COVID-19 spread risks for neighborhoods and communities in real time. MIDAS is proud to fund research which will help the government prevent spikes of new infection in Michigan.”

-H.V. Jagadish, Director, MIDAS

Working with the Michigan Department of Health and Human Services, Dr. Jon Zelner (Epidemiology) and his team are building a model to predict COVID-19 spread risks for neighborhoods and communities in real time.  This model will help the government prevent spikes of new infection. Please visit the Michigan COVID-19 Tracker to read more about Dr. Zelner’s work.

The MIDAS COVID-19 Propelling Original Data Science (PODS) grants were awarded on May 13th, 2020, each of the 7 teams received funding of up to $30,000 with projects starting immediately and expected to finish by the end of 2020. These projects demonstrate the resolve, expertise, and creativity of U-M data scientists facing a public health crisis. To learn more about the other projects please visit our COVID-19 PODS awards page.

Dr. Jon Zelner – Assistant Professor of Epidemiology, School of Public Health, University of Michigan