We've seen exceptionally rapid spread of Omicron in South Africa. Although we should expect this rapid spread to follow in other geographies, we've mostly lacked data to confirm this until recently. 1/21
Because of significant travel connections () and extremely strong genomic surveillance by @CovidGenomicsUK, we should have early data from the UK about rate of spread outside of South Africa. 2/21
The UK is sequencing between 5000 and 8000 viruses everyday. Although turnaround times are fast, necessary processing delays permit a view that's basically lagged by ~7 days. Today, I have a strong view of Dec 1 data in @GISAID, but Dec 2 has much less data available to me. 3/21
South Africa is similarly timely in their sequence sharing. We can start by looking at the rate of increase of frequency of Omicron in South Africa and the UK. Here we see that frequency of Omicron has increased from ~0.1% on Nov 23 to almost 1% on Nov 29. 4/21
As before, we can partition case counts based on variant frequency to estimate variant-specific case counts through time. 5/21
The exponential increase in Omicron cases in South Africa and the UK is clearly seen as a straight line on a log scale. 6/21
Continued exponential growth in the intervening days when sequence data is not available is visible from the SGTF data that has less delay. 7/21
To put this in perspective, when Alpha emerged in the UK, its rate of logistic growth was ~0.08 per day (). A similar calculation with Omicron gives a current logistic growth rate of ~0.41 per day. 8/21
As before, I'm using results from a modeling approach by @marlinfiggins to estimate variant-specific Rt from @GISAID sequence proportions alongside @OurWorldInData case counts (manuscript and code on GitHub, preprint should be out shortly github.com/blab/rt-from-f…). 9/21
This approach finds that Delta Rt has remained low, while Omicron Rt is between 3 and 4 in South Africa and initial Omicron Rt is ~6 in the UK. 10/21
These estimates of Rt are sensitive to exact choice of generation interval (here we used Gamma distribution with mean of 5.2 days and sd of 1.72 days). However, we can convert to "little" r epidemic growth rate which doesn't have this generation time assumption. 11/21
Doing so estimates epidemic growth rate in South Africa of r = 0.23, corresponding to a doubling time of 3.0 days [80% CI 2.4-4.6 days], and an epidemic growth rate in the UK of r = 0.32, corresponding to a doubling time of 2.2 days [80% CI 1.8-3.0 days]. 12/21
Both a three-day doubling and a two-day doubling are very fast, though I could imagine a few factors that might contribute to the UK's current faster rate of spread, including:
1. Seasonality may be more favorable at the moment in the UK
13/21
2. Multiple initial seeds from travel introductions will initially spread rapidly but will slow somewhat as the virus percolates further into the community
3. Initial increase will have force of infection from travel introductions alongside local growth
14/21
Active case finding and preferential sequencing of SGTF specimens should increase the overall rate of detection in the UK, but I don't see how this could result in the large temporal increase in Omicron cases seen here. 15/21
As initial seeds percolate and grow further, I would expect rate in the UK to slow to be closer to what's currently observed in South Africa, but this is still exceptionally rapid spread. 16/21
That said, we're now perhaps seeing indications of slowing of spread in South Africa from the latest case count data. The size of the South Africa wave will now be determined by how quickly Rt drops below 1. 17/21
As before, I believe a significant Omicron wave is inevitable and we should be doing our best to prepare for it now. 18/21
Due to immune escape phenotype, Omicron has available to it a much larger fraction of the population than Delta. This causes a larger proportion of cases to be breakthrough cases or reinfections. 19/21
I believe this can likely explain a large degree (and potentially all) of the reduction of severity that's been observed so far. In general immunity is more robust to severe outcomes than infection. 20/21
Based on available data, I don't feel comfortable yet speculating quantitatively about severity in the UK, US, etc..., but whatever level of severity it comes in at will determine how bad the inevitable Omicron wave will be. 21/21

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More from @trvrb

11 Dec
There is now enough genomic data from the US and Germany to repeat this approach to estimating Omicron-specific rate of epidemic spread. Here, we observe similar initial rapid spread in the US and Germany. 1/10
As before, we partition case counts from @OurWorldInData using sequences from @GISAID into estimated Omicron, Delta and other cases, and we use this partitioning to infer variant-specific Rt and epidemic growth rate r (methods and code here github.com/blab/rt-from-f…). 2/10
We find that logistic growth of Omicron sequence fraction looks similar between the UK, the US and Germany with roughly 1% of sequenced cases in all three countries being Omicron on Dec 1. 3/10 Image
Read 10 tweets
4 Dec
As the Omicron epidemic continues to expand in South Africa and as case counts and sequencing data continues to come in, we can better estimate the current transmission rate of Omicron. 1/19
Here, I am focused on two approaches to estimate this transmission rate. One is growth in frequency of Omicron compared to Delta in Gauteng and the other is growth in case counts attributable to Omicron. 2/19
If one variant is fitter than anther variant and is transmitting faster in the population we should expect to see it increase in frequency following logistic growth. See @TWenseleers for discussion of this approach. 3/19
Read 19 tweets
2 Dec
I'm re-upping an analogy from Feb 2020 for how to think about epidemic spatial spread as Omicron is detected across the world. 1/6
Omicron appears to have emerged around Oct 1 and has taken 8 weeks of exponential growth to "suddenly" have sizable impacts on case counts and hospitalizations in Gauteng. This "suddenly" is the nature of exponential growth. 2/6
Exports from the South African epidemic are now being detected across the world and these exports are sparking local transmission. Figure from nextstrain.org/groups/blab/nc… using data generously shared to @GISAID. 3/6
Read 6 tweets
1 Dec
Following up here with speculative estimates of the rate of spread of Omicron and a stab at how to apportion this rapid rate of spread between intrinsic transmissibility and immune escape. 1/18
Monday's post was mainly meant to emphasize that observed rapid spread of Omicron can be influenced by both intrinsic transmissibility and immune escape. Here, I'll try to put (speculative) numbers on this rate of spread. 2/18
Key datapoints include rapid displacement of existing Delta viruses by Omicron in Gauteng and South Africa. Estimates of logistic growth rate here by @TWenseleers imply Omicron has ~5X current transmission rate of Delta. 3/18
Image
Read 18 tweets
29 Nov
I think there's perhaps been some confusion regarding transmissibility vs immune escape in Omicron. The apparent rapid increase in frequency of Omicron in Gauteng does not mean that Omicron is necessarily more intrinsically transmissible than Delta. 1/15
This diagram shows estimated increase in intrinsic transmissibility from work by @marlinfiggins () along with fold drop in neutralization titer compiled from Uriu et al (biorxiv.org/content/10.110…) and similar papers. 2/15
We see that previous variants have showed only modest potential for escape from immunity engendered by vaccination or infection with circulating SARS-CoV-2 viruses, but have varied considerably in their intrinsic transmissibility with Delta outpacing others. 3/15
Read 15 tweets
26 Nov
There have been a number of overview threads on the emerging variant designated as @PangoNetwork lineage B.1.1.529, @nextstrain clade 21K and @WHO Variant of Concern Omicron. I'm not going to attempt to be comprehensive here, but will highlight a few aspects of the data. 1/16
Global systems for identifying novel variants and rapidly sharing data are working well with 91 genomes from Omicron viruses shared to @GISAID from specimens collected between Nov 11 and Nov 23 from Botswana, South Africa and Hong Kong. 2/16
These viruses are visible on @nextstrain as "21K (Omicron)" shown here in red (nextstrain.org/ncov/gisaid/af…). They do not descend from previously identified "variant" viruses and instead their closest evolutionary connection is to mid-2020 viruses. 3/16
Read 16 tweets

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