Handling Selective and Imperfect Testing in Design and Inference of COVID-19 Studies

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • start year

    -99
  • Known Financial Commitments (USD)

    $0
  • Funder

    University of Michigan
  • Principal Investigator

    N/A

  • Research Location

    United States of America
  • Lead Research Institution

    N/A
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Dr. Bhramar Mukherjee (Biostatistics) and her team are developing mathematical models to predict the true infection rate and detect spikes, taking into account the limited and imperfect testing. Their model will also provide guidance to policymakers on how to allocate testing resources.