Estimation of the test to test distribution as a proxy for generation interval distribution for the Omicron variant in England

Sam Abbott ORCID logo; Katharine Sherratt ORCID logo; Moritz Gerstung ORCID logo; Sebastian Funk ORCID logo; (2022) Estimation of the test to test distribution as a proxy for generation interval distribution for the Omicron variant in England. DOI: 10.1101/2022.01.08.22268920
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<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Early estimates from South Africa indicated that the Omicron COVID-19 variant may be both more transmissible and have greater immune escape than the previously dominant Delta variant. The rapid turnover of the latest epidemic wave in South Africa as well as initial evidence from contact tracing and household infection studies has prompted speculation that the generation time of the Omicron variant may be shorter in comparable settings than the generation time of the Delta variant.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We estimated daily growth rates for the Omicron and Delta variants in each UKHSA region from the 23rd of November to the 23rd of December 2021 using surveillance case counts by date of specimen and S-gene target failure status with an autoregressive model that allowed for time-varying differences in the transmission advantage of the Delta variant where the evidence supported this. By assuming a gamma distributed generation distribution we then estimated the generation time distribution and transmission advantage of the Omicron variant that would be required to explain this time varying advantage. We repeated this estimation process using two different prior estimates for the generation time of the Delta variant first based on household transmission and then based on its intrinsic generation time.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Visualising our growth rate estimates provided initial evidence for a difference in generation time distributions. Assuming a generation time distribution for Delta with a mean of 2.5-4 days (90% credible interval) and a standard deviation of 1.9-3 days we estimated a shorter generation time distribution for Omicron with a mean of 1.5-3.2 days and a standard deviation of 1.3-4.6 days. This implied a transmission advantage for Omicron in this setting of 160%-210% compared to Delta. We found similar relative results using an estimate of the intrinsic generation time for Delta though all estimates increased in magnitude due to the longer assumed generation time.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>We found that a reduction in the generation time of Omicron compared to Delta was able to explain the observed variation over time in the transmission advantage of the Omicron variant. However, this analysis cannot rule out the role of other factors such as differences in the populations the variants were mixing in, differences in immune escape between variants or bias due to using the test to test distribution as a proxy for the generation time distribution.</jats:p></jats:sec>


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