Trevor Bedford Profile picture
Jan 28 15 tweets 6 min read
Omicron viruses can be divided into two major groups, referred to as PANGO lineages BA.1 and BA.2 or @nextstrain clades 21K and 21L. The vast majority of globally sequenced Omicron have been 21K (~630k) compared a small minority of 21L (~18k), but 21L is gaining ground. 1/15
Omicron clades 21K and 21L differ at ~40 amino acid sites, which is substantial in the context of SARS-CoV-2 evolution. 2/15
For comparison Alpha, Beta and Gamma are each about as divergent from each other in terms of amino acid changes across the genome as Omicron 21K and 21L are from each other. Figure from @nextstrain (nextstrain.org/ncov/gisaid/gl…). 3/15
The heavily mutated receptor binding domain (RBD) of the spike protein that distinguishes Omicron from Delta is largely shared between 21K and 21L, while differences exist in the near terminal domain (NTD). Figure from outbreak.info/compare-lineag…. 4/15
Given pattern of shared variation, I believe clades 21K and 21L may represent two spillover events from the same chronic infection (with rare lineage BA.3 representing a third spillover). 5/15
Whatever their origin, it appears that Omicron 21K got a head start on 21L and it represents the large majority or circulating Omicron viruses. However, 21L has become predominant in Denmark and India, and is spreading elsewhere. 6/15
Here, @marlinfiggins and I take case counts from @OurWorldInData and sequences from @GISAID to analyze clade-specific spread in terms of epidemic growth rate r, comparing Delta to Omicron 21K and 21L using methods discussed previously. 7/15
We see that Omicron 21L is increasing in frequency in multiple countries with Denmark currently estimated at ~82%, the UK at ~9% and the US at ~8%. 8/15
This increase in frequency corresponds to exponential growth in terms of cases, where exponential growth is visible as a straight line increase on a log scale. 9/15
In each country and across time, we see that the epidemic growth rate of Omicron 21L is greater than Omicron 21K. Further plots available here: github.com/blab/rt-from-f…. 10/15
Given that Omicron 21K viruses spread easily in populations with prior immunity and given that @UKHSA reports similar VE for 21K and 21L (assets.publishing.service.gov.uk/government/upl…), I'd suspect that 21L's advantage derives from intrinsic transmission rather than greater immune escape. 11/15
The extensive wave of Omicron 21K in the US and elsewhere has created a large degree of immunity to Omicron 21K and very likely to 21L. 12/15
Given differences in NTD between Omicron 21K and 21L, it may be possible to see some re-infections of individuals recovered from 21K by 21L. 13/15
But given that we'll still have ~60% of the US that weren't infected in the January Omicron 21K wave, this leaves the potential for a more transmissible Omicron virus to spread further in this fraction of the population. 14/15
This said, I would guess we'll see 21L create a substantially longer tail of circulation of Omicron than would have existed with just 21K, but that it won't drive the scale of epidemics we've experienced with Omicron in January. 15/15

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More from @trvrb

Jan 20
Case counts for the US appear to have peaked at a 7-day average of 806k on Jan 14. Omicron grew from approximately 35k daily cases on Dec 14 to ~800k daily cases in ~4 weeks. 1/9
Looking at cases per 100k population per day across states, downturns are clear in NY, NJ, MA, FL, etc..., but many states are not yet at peak case loads. 2/9
If we partition @CDCgov cases between Delta and Omicron using @GISAID sequence data following approach by @marlinfiggins (bedford.io/papers/figgins…) we can see clear Omicron epidemics. 3/9
Read 9 tweets
Jan 10
With Omicron, case counts in the US and many other countries have skyrocketed. The US 7-day average is now ~680k cases per day, or 0.2% of the population recorded as confirmed cases each day. 1/15
However, a large fraction of infections, symptomatic and otherwise, don't end up reported as cases due to lack of testing (either the individual doesn't seek testing or testing is desired but not readily found). 2/15
Historically, I have assumed that around 30% of infections in the US are reported as cases. This number was derived from seroprevalence and modeling estimates from sites like (no longer updated) covid19-projections.com. 3/15
Read 15 tweets
Jan 5
The impact of Omicron on case counts in the US is now abundantly obvious with 885k reported cases yesterday alone. Figure using @CDCgov data and showing daily reported cases with 7-day smoothing on log scale. 1/12
We can partition state-level cases between Delta and Omicron using sequence data from @GISAID. This is made possible by 1.6 million genomes from the US from viruses sampled since Oct 15. This remarkable dataset is thanks to a large number of labs throughout the country. 2/12
Genomic data will necessarily be lagged by about 10 days, but we can use modeling framework from @marlinfiggins to project forward variant-specific frequencies and epidemic growth rates to the present. 3/12
Read 13 tweets
Dec 23, 2021
Rapid growth and early crest compared to simple Rt estimate can perhaps be explained by a shortened generation interval. We observe a 2-3 day doubling, but calculating the number of secondary infections requires a generation interval assumption. 8/17
The Norway Christmas party case study by Brandal et al (eurosurveillance.org/content/10.280…) shows a clear 3-day incubation period vs ~4.3 days for Delta and ~5.0 days for other variants (thelancet.com/journals/lanep…). 9/17
Similar values of initial epidemic growth rate r can have different values of Rt based on generation interval and lower Rt results in waves that break with fewer individual's infected. 10/17
Read 14 tweets
Dec 23, 2021
An update on Omicron epidemic dynamics and where we stand today. Exponential growth cannot go on forever, but predicting when a wave will crest ahead of observing slowing in case growth is very difficult. 1/17
That said, we have a fundamental prediction from basic epidemic modeling that epidemics with higher initial Rt (number of secondary infections caused by one infection) should result in larger epidemic waves in terms of total infections. 2/17 Image
Estimates of initial Omicron Rt of ~3.5 suggested the potential for a very large wave in terms of cases, with significantly more cases than Delta wave just based on comparison of initial Rt. 3/17
Read 17 tweets
Dec 20, 2021
I fully agree that the single best action individuals (and governments) can be taking to reduce impact of the Omicron wave is to get booster dose if already vaccinated and to get vaccinated if not. 1/14
However, I absolutely think we need to be moving forward with clinical trials for a possible future swap to an Omicron-specific or bivalent vaccine (nytimes.com/2021/12/20/hea…). 2/14
Given rapid spread there's no possibility of having an Omicron-specific vaccine ahead of the wave, and a booster with the original formulation is shown to produce good neutralization titers against Omicron and largely restore effectiveness against symptomatic disease. 3/14
Read 14 tweets

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