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

Research Overview

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.

 

Recent Presentations

MIDAS COVID-19 Special Seminar Series: Jon Zelner, “If the outbreak ended, does that mean the interventions worked?” 5/14/2020

Research Team

Jon Zelner, PhD, Assistant Professor, Dept. of Epidemiology, UM School of Public Health

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