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Tracking the rise and fall of Scottish SARS-CoV-2/COVID-19 using virus sequences

Grant number: COV/EDI/20/11

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Known Financial Commitments (USD)

    $76,880

  • Funder

    CSO Scotland

  • Principal Investigator

    Samantha Lycett

  • Research Location

    United Kingdom

  • Lead Research Institution

    University of Edinburgh

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen genomics, mutations and adaptations

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The SARS-CoV-2 viruses from COVID-19 cases are being sequenced, and since virus sequence data accumulates mutations over time, even over the time scale of a few weeks there are sufficient differences between sequences to infer clustering and transmission patterns. This project will use the virus sequence data together with epidemiological models of the population to infer which groups / cities / regions infected which others, how the epidemic is progressing, and through inference and simulations advice on when/how a low enough level of community transmission has been reached.

2 Publications linked via Europe PMC

Last Updated:6 days ago

View all publications at Europe PMC

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