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COVID-19 variant F series - for approximation only - not all countries are monitoring

Fears are growing a new Covid strain called FU.1 — detected in Asia and India — may pose the next big coronavirus threat to Victoria.

Experts are warning the mutant Omicron recombinant is now spreading worldwide at a 50 per cent faster rate than Arcturus (XBB.1.16).

FU.1 (also known as XBB.1.16.1.1) is spreading primarily in Shanghai, China, but has also been found in Thailand and India, among other countries.

“New Covid strain (XBB1.16.1.1 is its former name) has now been christened FU.1 and not as a joke. It’s 50 per cent more infectios than the current dominat strains and is just starting to spread worldwide. Expect another serious wave any time soon - don’t know how bad FU.1 is yet,” one Australian surgeon and public health educator tweeted this week.

more....

https://www.heraldsun.com.au/news/v...y/news-story/fe975873facbb01f9d6bbf71c9a66ba9
 
Raj Rajnarayanan
@RajlabN
Tracking #SARSCoV2 #Lineages - Globally Top lineages -#30DayTrends (#G30): XBB.1.16 (10.4%) XBB.1.5 (9.9%) XBB.1.9.1 (5.5%) EG.5.1 (5.1%) EG.1 (4.1%) XBB.1.16.1 (3.3%) FU.1 (3.2%) FL.4 (3.1%) XBB.2.3.2 (2.2%) XBB.1.9.2 (2.2%) https://public.tableau.com/app/profile/raj.rajnarayanan/viz/ConvergentLineages-VariantSoup-World/G20… Updated 07/08/23
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8:17 PM · Jul 8, 2023
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Raj Rajnarayanan
@RajlabN
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Granular details #Global #30DayTrends XBB.1.16 (#ARCTURUS) is the top circulating lineage in the world! This analysis includes all designated #SARSCoV2 sequences submitted to
@GISAID
with sample collection dates on or after 06/08/2023 (15,814 sequences)
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Raj Rajnarayanan
@RajlabN
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In Silico Immune escape and ACE2 receptor binding scores (relative to BA.2) Data is intended to prioritize select lineages to generate rapid laboratory experiments to gauge immune escape and ACE2 binding affinity. [Credits in the legend] *Only Spike RBD mutations considered
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Raj Rajnarayanan
@RajlabN
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Thanks to all the countries that are still supporting #SARSCoV2 testing and rapidly submitting sequences to public databases like
@GISAID
#USA, #SouthKorea, #Canada, #China, #Australia, #Singapore, #Austria, #Japan, #UnitedKingdom have submitted a lion's share of sequences
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