Besides Delta, the other major story here is B.1.621. It's now firmly the second most frequent variant in CT (~8%), and has so far been able to maintain its ground against the expansion of Delta. Something that Alpha, Gamma, and everything else couldn't do. (3/9)
B.1.621 (first detected in Colombia) does not yet have a WHO greek letter, but IMO, its just a matter of time. It has several key spike mutations - E484K, N501Y, and P681H - and is now being found at high frequencies in other states. (4/9)
While we were able to fix our B.1.621 submission issue with GISAID, its still an issue for other groups. Almost certainly B.1.621 is under-reported in some regions in this CDC figure (not of the fault of the CDC). The GISAID issue means there there are still back-logs. (5/9)
In CT, the reported cases are ~12/100K population/day, but Covidestim reports a much higher estimated infection rate at ~72/100K population/day. This is similar to our neighbors, but much lower than states in the south (e.g. FL = 335, LA = 552). (6/9)
Link to covidestim to look at the numbers yourself (7/9) covidestim.org
Our variant-specific RT estimates show that most of the rise in cases is coming from Delta (Rt = 1.59) and B.1.621 (Rt = 1.34; shown as Non-VOC/VOI), with the rest not currently playing a critical role. (8/9)
I'd like to once again thank my entire team. As cases rise, so does our work. Its a very tough time a year to be busy again, and we all just want a long break. But as always, they step up to keep the surveillance system running. I owe them lots of π»(9/9)
All of our B.1.621 + B.1.621.1 (important emerging SARS-CoV-2 variant) submissions are being rejected by GISIAD. This has some important implications that data producers + public health agencies should be aware of.
Technical π§΅(1/12)
We usually have a few sequences/week that get rejected for QC reasons (eg indel in a string of As or Ts). It takes a few days for these to be fixed and reposted. Sometimes longer depending on our bandwidth. These are usually a random distribution so not a problem if delayed(2/12)
This past week we had 40+ sequences get rejected, and almost all of them were B.1.621/B.1.621.1. @JosephFauver found that all of these sequences have a 4 nt deletion in ORF3A that results in a premature stop codon about ~50 nt upstream. GISAID sees these and kicks them back(3/12)
One of the π parts of our study is that we used virus isolates (not pseudovirsues) that represent much of the genetic diversity in our region. This allowed us to examine local effects and to dive into the genetic components of πneutralization (2/22)
These are the results that I want to spend some time with as there is a lot to unpack here. I know that I am a bit biased, but this is such a π figure! (3/22)
2/10 Our data combined with the CDC indicates that Delta was ~64% by 6/28 in Connecticut and may have been as high as 80% by 7/6 (remember that sequencing data always has a bit of a lag). Also, the rise in Delta is replacing almost all other variants.
3/10 In addition to B.1.617.2, we are also seeing the sub-lineages AY.1, AY.2, and AY.3, which are all classified as Delta. Some AY.1's have K417N and some AY.2's have V70F. AY.3 is defined by mutations outside of spike. The functional differences between these are unknown.
2/9 Last week when we reported that Delta was only 2.3% I said: "This is probably more of a reflection of noisy data when trying estimate frequencies from a small number of cases", and followed that up with an expectation that we will see Delta π.
3/9 This week we are seeing the expected π in Delta (B.1.617.2), but the caveat still remains that our estimates are noisy because of the low numbers of sequenced cases (a product of the low numbers of cases, which is a good problem to have π)
2/8 In Connecticut, the % of sequenced cases that are the Delta variant (B.1.617.2) decreased in recent weeks. This is probably more of a reflection of noisy data when trying estimate frequencies from a small number of cases vs an actual decline in delta.
3/8 Looking at our neighbors in Massachusetts and New York, delta is 10-20%, so we in Connecticut are probably pretty close to that. My guess is that we'll see a π in delta in the coming weeks to reflect the trends of our neighbors.
2/7 Gamma (P.1) and Delta (B.1.617.2) continue rising in Connecticut, while Alpha (B.1.1.7) and others decline, following national trends (see next tweet).
3/7 Data from outbreak.info shows that in the US πΊπΈ, Delta (B.1.617.2) is π exponentially, while Alpha (B.1.1.7) is on the π. Despite this, COVID-19 cases are still dropping (for now).