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Influence of testing policies on estimates of epidemic growth rates

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • start year

    -99

  • Known Financial Commitments (USD)

    $0

  • Funder

    Yale University

  • Principal Investigator

    Virginia Pitzer

  • 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

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

We are examining how changes in testing policies (e.g. an increase in test availability or more targeted testing) may impact estimates of the epidemic growth rate, basic reproductive number (R0), and effective reproductive number (Rt). This has important implications for model-based inferences about the (potential) impact of social distancing and other control measures.