The COVID-19 Genomics UK (COG-UK) Consortium
Spatial Growth Rate of Emerging SARS-CoV-2 Lineages in England, September 2020–December 2021
The COVID-19 Genomics UK (COG-UK) Consortium; Smallman-Raynor, M.R.; Cliff, A. D.
Authors
MATTHEW SMALLMAN-RAYNOR MATTHEW.SMALLMAN-RAYNOR@NOTTINGHAM.AC.UK
Professor of Analytical Geography
A. D. Cliff
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 routine assessments of the growth of emerging SARS-CoV-2 lineages in a defined population.
Citation
The COVID-19 Genomics UK (COG-UK) Consortium, Smallman-Raynor, M., & Cliff, A. D. Spatial Growth Rate of Emerging SARS-CoV-2 Lineages in England, September 2020–December 2021
Working Paper Type | Working Paper |
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Deposit Date | Feb 3, 2022 |
Publicly Available Date | Feb 23, 2022 |
Publisher | Cambridge University Press |
Keywords | COVD-19; England; Geography; SARS-CoV-2; Spatial Analysis |
Public URL | https://nottingham-repository.worktribe.com/output/7375140 |
Publisher URL | https://www.medrxiv.org/content/10.1101/2022.02.02.22270110v1 |
Additional Information | The authors on behalf of The COVID-19 Genomics UK (COG-UK) Consortium. |
Files
2022.02.02.22270110v1.full - MedRxiv Preprint
(2 Mb)
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No License Set (All rights reserved)
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
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