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Spatial growth rate of emerging SARS-CoV-2 lineages in England, September 2020-December 2021

The COVID-19 Genomics UK (COG-UK) Consortium, M. R. Smallman-Raynor*, A. D. Cliff, Matthew Bashton, Darren Smith, Andrew Nelson, Gregory R. Young, Clare McCann

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)
    29 Downloads (Pure)

    Abstract

    This paper uses a robust method of spatial epidemiological analysis to assess the spatial growth rate of multiple lineages of SARS-CoV-2 in the local authority areas of England, September 2020-December 2021. Using the genomic surveillance records of the COVID-19 Genomics UK (COG-UK) Consortium, the analysis identifies a substantial (7.6-fold) difference in the average rate of spatial growth of 37 sample lineages, from the slowest (Delta AY.4.3) to the fastest (Omicron BA.1). Spatial growth of the Omicron (B.1.1.529 and BA) variant was found to be 2.81× faster than the Delta (B.1.617.2 and AY) variant and 3.76× faster than the Alpha (B.1.1.7 and Q) variant. In addition to AY.4.2 (a designated variant under investigation, VUI-21OCT-01), three Delta sublineages (AY.43, AY.98 and AY.120) were found to display a statistically faster rate of spatial growth than the parent lineage and would seem to merit further investigation. We suggest that the monitoring of spatial growth rates is a potentially valuable adjunct to outbreak response procedures for emerging SARS-CoV-2 variants in a defined population.

    Original languageEnglish
    Article numbere145
    Number of pages13
    JournalEpidemiology and Infection
    Volume150
    DOIs
    Publication statusPublished - 20 Jul 2022

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • COVID-19/epidemiology
    • Disease Outbreaks
    • England/epidemiology
    • Humans
    • SARS-CoV-2/genetics

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