The Australian states each have fairly discrete outbreaks with quite different profiles.
Here's New South Wales, where NPIs were first dropped as BA.1 arrived, and multiple super-spreader events in mid-December. Together that paved the way for the total dominance at ~95%.
Victoria's profile is quite different. There was a larger Delta outbreak for Omicron to overcome.
By now the end result is becoming similar to NSW, with BA.1 at ~92%.
Queensland has been dominated by Omicron - the Delta outbreaks before NPIs were dropped were well controlled.
Queensland's samples have been a bit thin since the holiday break and are unusually lagging the larger states at present.
At one point in late December, South Australia had the purest Omicron outbreak in Australia, probably globally.
It's interesting to see Delta has been hanging on since, even though the prior Delta outbreak was at relatively low case rates.
In Western Australia, a few small Delta and Omicron community outbreaks occurred during December and early January.
Now a larger outbreak of Omicron has started, which looks likely to be BA.1
BA.1 with the Spike R346K mutation was classified quite recently as BA.1.1. That mutation is understood to give increased immunity escape.
That lineage change has not yet flowed out to databases and websites.
Here's the frequency of BA.1.1 in Australian samples:
Here’s the July 2025 update I just sent to my GitHub Sponsors.
I continued to share results from these projects, here and on other social media platforms
🧵
If you are in a position to support my open-source project work, then any amount is welcome. You just need to create a free GitHub account, and you can remain anonymous if you prefer.
There’s info on that page about how your contribution will be used.
This perspective excludes all the high-volume countries and regions that I routinely report on: Australia, NZ, Europe, Canada and the US. The remaining countries are aggregated into this report.
🧵
Here are the leading countries reporting the NB.1.8.1 "Nimbus" variant.
🧵
Here's the latest variant picture for the United States, to early July.
The XFG.* "Stratus" variant continued it’s dominance, growing to 58% frequency.
NB.1.8.1 "Nimbus" was fairly flat, finishing at 14%.
#COVID19 #USA #XFG #Stratus #NB_1_8_1 #Nimbus
🧵
Here are the leading US states reporting XFG.* "Stratus". New York state reported strong growth to 78%.
🧵
Here are the leading US states reporting NB.1.8.1 "Nimbus". Besides the International Traveller samples, it has been most common in California and Colorado, although all are roughly flat or declining lately.
🧵
The volatility is due to the ragged timing of submissions from various countries.
This perspective excludes all the high-volume countries and regions that I routinely report on: Australia, NZ, Europe, Canada and the US. The remaining countries are aggregated into this report.
🧵
Here are the leading countries reporting the NB.1.8.1 "Nimbus" variant.
🧵
Here's the latest variant picture for the United States, to late June.
The XFG.* "Stratus" variant grew to dominant at 40%, with LP.8.1.* at 28%.
Growth of the NB.1.8.1 "Nimbus" variant is slower, at 16%.
#COVID19 #USA #XFG #Stratus #NB_1_8_1 #Nimbus
🧵
For the US, the XFG.* "Stratus" variant shows a strong growth advantage of 5% per day (35% per week) over LP.8.1.*, with a crossover in mid-June.
🧵
Here are the leading US states reporting XFG.* "Stratus". New York state leads at 59%. It has also been quite common among the International Traveller samples at 46%.
🧵
Here are the trends across all the International Traveller samples. From that perspective, XFG.* "Stratus" is dominant at 48%.
This dataset (mostly arrivals in the US and Japan) is arguably more random, as it is not skewed by sequencing volumes.
🧵
Globally, the NB.1.8.1 "Nimbus" variant is showing a steady growth advantage of 3.1% per day (22% per week) over the LP.8.1.* variant, with a crossover in late May.
🧵