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

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Key facts

  • Disease

    COVID-19

  • Funder

    University of Michigan

  • Principal Investigator

    Unspecified Unspecified Unspecified

  • Research Location

    United States of America

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease surveillance & mapping

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

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.