From data to knowledge: Applying the principles of data science to understand preventable inequities in care and support among COVID-19 cases in Michigan.

“MIDAS is delighted to support Dr. Nancy Fleischer and her team whose research will provide evidence-based guidance to Michigan’s governmental officials to improve access to healthcare and basic necessities for all patients during the pandemic. “

-H.V. Jagadish, Director, MIDAS

The Michigan COVID-19 Recovery Surveillance Study (MI CReSS) is a collaborative effort between the University of Michigan School of Public Health (lead faculty: Dr. Nancy Fleischer) and the Michigan Department of Health and Human Services. The goal of MI CReSS is  to conduct public health surveillance of people who have experienced a COVID-19 diagnosis in Michigan. Topics include symptoms, health care seeking behavior, access to basic needs, and the impact of the pandemic on social engagement and mental health, with a particular emphasis on health disparities.

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.

In “Spotlight Stigma and Disparity in Care During the COVID-19 Pandemic,” Fleischer discusses the how their findings showcase a sharp difference in severity cases between white and black COVID-19 patients. To learn about how their work provides insight to the impacts of “Long COVID,” read more.

Nancy Fleischer, Assistant Professor, Epidemiology, University of Michigan