Abbott, S, Sherratt, K and Funk, S. 2021. Real-time estimation of the time-varying transmission advantage of Omicron in England using S-Gene Target Status as a Proxy. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.5799135
Abbott, S, Sherratt, K and Funk, S. Real-time estimation of the time-varying transmission advantage of Omicron in England using S-Gene Target Status as a Proxy [Internet]. Zenodo; 2021. Available from: https://doi.org/10.5281/zenodo.5799135
Abbott, S, Sherratt, K and Funk, S (2021). Real-time estimation of the time-varying transmission advantage of Omicron in England using S-Gene Target Status as a Proxy. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5799135
Description
In this work, we use S-gene target failure (SGTF) as a proxy of variant status combined with reported case counts to explore the evidence for changes in transmission advantage over time for the Omicron variant. If present this could indicate the impact of immune escape, bias in SGTF data or differences in the populations within which the variants are circulating. We also report estimates for growth rates by variant and overall, case counts overall and by variant for a 14 day forecast window assuming constant future growth, the date at which Omicron will become dominant in England and in each NHS region, and the estimated cumulative percentage of the population with a reported Omicron case.
Keywords
| Data capture method | Unknown |
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| Date (Published in a 3rd party system) | 22 December 2021 |
| Language(s) of written materials | English |
| Data Creators | Abbott, S, Sherratt, K and Funk, S |
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| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 15 Mar 2022 17:33 |
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| Last Modified | 17 Jun 2022 13:41 |
| Publisher | Zenodo |
