Nathan Grubaugh Profile picture
Associate Professor @YaleEMD / @YaleSPH. Studies 🦟🦠 transmission, evolution, and emergence. PI of @covidCT 🧬. Will sequence for 🍺.

Jul 1, 2021, 9 tweets

🧬7/1 Connecticut #SARSCoV2 variant surveillance
@CovidCT | @jacksonlab | @CTDPH | @YaleSPH | @Yalemed

Alpha (B.1.1.7) = 50% (πŸ“‰9%)
Delta (B.1.617.2) = 13.6% (πŸ“ˆ11%)

short 🧡 | Report πŸ‘‰
covidtrackerct.com/variant-survei…

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 πŸ“ˆ.

3/9 This week we are seeing the expected πŸ“ˆ 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 πŸ‘)

4/9 To improve our weekly estimates, we are now also including recently sequenced data from the CDC (typically samples tested by Quest Diagnostics).

5/9 Interestingly, the frequency of "Other variants" is going πŸ“ˆ for the first time since our variant surveillance began in early 2021 (see 2x πŸ‘†). We are finding that this is being driven by lineage B.1.621.

6/9 While B.1.621 is not yet listed as a variant of concern/interest, but it has both the E484K and N501Y mutations found in Beta (B.1.351) and Gamma (P.1) that are known to decrease the efficacy of some vaccines. (source = outbreak.info)

7/9 B.1.621 represents <1% of the cases in the US and has not been detected in many places of the world.

**However**, B.1.621 represents ~15% of the sequenced cases in Colombia, and is recently trending πŸ“ˆ in association with πŸ“ˆ cases. (source = outbreak.info)

8/9 This is not to say that B.1.621 will become a concern here, I'm primarily highlighting what our surveillance system is intended to do: detect emerging lineages so that we can understand its epidemiology and inform public health. I'll provide updates as we learn more.

9/9 I'd like to thank the @CDC_AMD program, especially @dmaccannell, for not only providing financial support for sequencing, but also for πŸ“ˆ their sequencing efforts to enhance our surveillance program in Connecticut. We greatly appreciate their commitment to open data sharingπŸ’ͺ

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