Jeff Gilchrist

@jeffgilchrist.bsky.social

PhD Biomedical researcher, data scientist, and finder of large prime numbers. Views are my own. Twitter: @jeffgilchrist Mastadon: @jeffgilchrist@mstdn.science COVID-19 guides, stats, calculators & 600+ scientific articles: http://covid.gilchrist.ca

A mysterious, unusually diverse saltation lineage descended from KP.3.1.1 (last seen early 2025) has circulated at a low level for ~8 months in Ontario (see 🧵 on next post). Seemed a local anomaly, but @solidevidence.bsky.social just spied a weird spike in NYC wastewater—& it's the same one! 1/14

Solid Evidence@solidevidence.bsky.social · last mo.

This is kind of weird. A new cryptic showed up in two different NYC sewersheds this month. Low coverage. RBD piece is: 403K-405N-408S-417N-435S-439N-445P-446T-450D-452K-455S-456L. Also a deletion at 621-622. 1/

The basis for the last sentence below: New data from David Ho's lab showing that while adults & kids have ~equal antibody responses to XFG & NB.1.8.1, children have essentially no neutralizing antibodies to BA.3.2. This seems to solve the BA.3.2 + kids mystery. 1/14 www.biorxiv.org/content/10.6...

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Ryan Hisner@ryanhisner.bsky.social · 2mo ago

My best guess is dead-end virus evolution combined with a continually broadening global population antibody response that makes it more difficult for novel variants to completely escape—except in those with few exposures (such as children).

*** Ontario Virus Update | June 1 *** Hospitalizations due to COVID have decreased from 38 to 21 in the last update. Influenza hospitalizations decreased from 51 to 44 and RSV decreased from 20 to 18 so moving in the right direction but still not finished for the season yet.🧵1/ #Ontario #Virus

This stacked bar chart displays weekly new hospitalizations in Ontario specifically attributed to COVID-19, Influenza, and RSV. The data tracks the fluctuating volume of patients over time, highlighting seasonal surges and the relative contribution of each respiratory virus to the overall healthcare burden.

*** Ontario Variant Update | Apr 28 *** In Ontario, there was some competition for variant dominance during the month of March but the NB.1.8.1.* "Nimbus" family currently holds first place with 49.5% while the XFG.* "Stratus" family sits at 38.1% of sequenced genomes from COVID tests. 🧵1/

This multi-line chart tracks the lineage frequency of various COVID-19 variant families in Ontario over time, based on sequenced genome samples. The graph illustrates the changing prevalence of specific variant families, showing how different lineages compete and evolve as the dominant strains within the province.

*** Ontario Virus Update | Apr 28 *** Hospitalizations due to COVID have gone down from 109 to 68 in the last update. Influenza hospitalizations decreased from 71 to 63 and RSV decreased from 83 to 75. 🧵1/

This stacked bar chart displays weekly new hospitalizations in Ontario specifically attributed to COVID-19, Influenza, and RSV. The data tracks the fluctuating volume of patients over time, highlighting seasonal surges and the relative contribution of each respiratory virus to the overall healthcare burden.

Recent analysis by several Variant Hunters has confirmed that BA.3.2.* is preferentially infecting children. For example, here’s a comparison of recent samples from New York. For children, BA.3.2.* is 11% of samples, vs just 1.4% of adults, so around 8X more common. #COVID19 #SARSCoV2 #Global 🧵

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So it's clear that BA.3.2 preferentially infects children, something we have never seen before in a SARS-CoV-2 variant. Why? The question's baffled me, but after a suggestion from @darrenmartin.bsky.social, I think I have an explanation that makes sense. 1/16

Ryan Hisner@ryanhisner.bsky.social · 4mo ago

Someone suggested BA.3.2 might preferentially infect kids. I think they're right. Ages of SARS-2 sequences since Dec 1 in Ireland: non-BA.3.2 6/66 (9.1%) age 0-19, (0/1 hospital tests) BA.3.2 43/91 (47.3%) age 0-19 (1/3 hospital tests) 1/4

Quick elaboration on this. The disproportionate rate at which BA.3.2 infects children is not driven by infants. The 0-1 age group is less overrepresented (by a large margin) than the 2-5 and 6-17 age groups in the countries we have data for. 1/4

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Ryan Hisner@ryanhisner.bsky.social · 4mo ago

So it's clear that BA.3.2 preferentially infects children, something we have never seen before in a SARS-CoV-2 variant. Why? The question's baffled me, but after a suggestion from @darrenmartin.bsky.social, I think I have an explanation that makes sense. 1/16

How does various mask fit compare to filter the air and protect you or others? Most masks, even baggy blue procedure masks use filtering material that can filter 95%+ of particles that pass through it, but the key is "pass through it". Continue to learn more... 🧪🧵1/

Bar chart titled “Equivalent Exposure Time to Unmasked Person.” The chart compares how long different masks/respirators extend the equivalent exposure time relative to being unmasked. The x-axis shows unmasked infection times of 1, 5, and 10 minutes. The y-axis shows equivalent masked exposure time, ranging up to 5000 minutes. Seven mask types are represented by colored bars:
- Procedure mask (loose fit, FF=2)
- Ear loop mask (tight fit, FF=6)
- Vertical bifold headband mask (FF=30)
- N95 headband masks with fit factors of 100, 200, and 500
Key pattern: higher fit factor masks dramatically increase equivalent exposure time. For example, at 10 minutes unmasked, a procedure mask extends exposure to 20 minutes, while an N95 with FF=400 extends it to 5000 minutes.