Genomic Signatures of SARS-CoV-2 Superspreading Associated with Large Events: Unravelling Transmission Dynamics in Scotland

Grant number: 228339/Z/23/Z

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2023
    2026
  • Funder

    Wellcome Trust
  • Principal Investigator

    Mr Dominic Arthur
  • Research Location

    United Kingdom
  • Lead Research Institution

    University of Edinburgh
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease susceptibility

  • 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

    Unspecified

Abstract

SARS-CoV-2 affects areas with high poverty more severely, and the rate and extent of its transmission varies in different settings. Events like the 2021 European Football Championships (EURO 2020) and COP26 were considered high- risk for spreading the virus. Despite their social and global significance, many debated stricter restrictions on these events during the pandemic. The surge in cases in participating countries was linked to gatherings associated with the EURO 2020. My research focuses on understanding the risks of large gatherings, to ascertain how these events influenced the patterns of SARS- CoV-2 transmission, and whether greater restrictions would have been merited. To explore this, I'm using a network-based model that blends various types of data, including exceptional genetic information from the virus. I'll also explore how wealth and location impact transmission among different socioeconomic groups. The goal is to identify patterns that explain why certain events and socioeconomic groups become hotspots for virus transmission. Understanding these dynamics will help us tailor public health strategies regarding these events more effectively. This could be invaluable for managing future outbreaks of COVID-19 or similar viruses.