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Modelling pooling strategies for SARS-CoV-2 testing in a university setting

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:0 publications

Grant number: C19-IUC-457

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Funder

    UK Research and Innovation (UKRI)

  • Principal Investigator

    Gibran Hemani

  • Research Location

    United Kingdom

  • Lead Research Institution

    University of Bristol

  • Research Priority Alignment

    N/A

  • Research Category

    Infection prevention and control

  • Research Subcategory

    Restriction measures to prevent secondary transmission in communities

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Other

Abstract

Researchers at the University of Bristol have used mathematical simulations to test different COVID-19 testing strategies in a university population. They found that when positive cases are clustered by a know social structure such as a student household, pooled sampling (where a household pool their swabs into a single test) is most efficient.