4/5
Estimated Relative Growth Advantage of XEC* vs KP.3.1.1* clustered lineagea in Germany
~14...~21%/wk

Using RKI data & clustered lineages (see above), time resolution = week numbers, unweighted & weighted fit (Python statsmodels) and extrapolation

3/5
E) supplemental table: which sublineages with which proportions (rel. to whole of samples over time) are contained in the "* et. al." clusters (for JN.1 & desc.) of A/B

F) legend for "* et. al." clustering (relevant spike mutations) & cov-spectrum.org advanced filters

2/5
Additional plots:
C) relevant spike mutations (see F in 3/5), proportion over time, line plot, logit y-axis

D) number of sequence samples per week over time (week of sample taken), bar chart, linear y-axis. Last week is severely "incomplete" (many samples are missing, to be reported later)

1/5
Update 2024-12-04:
#SARSCoV2 sequence data from Germany

XEC/XEK fluctuates, currently higher

KP.3.1.1* ~40%
XEC+XEK ~60%

Clustered by important (& convergent) RBD+NTD spike mutations

Proportion over time:
A) stacked area plot, lin. y-axis

B) line plot, logit y-axis

4/5
Estimated Relative Growth Advantage of XEC* vs KP.3.1.1* clustered lineagea in Germany
~14...~21%/wk

Using RKI data & clustered lineages (see above), time resolution = week numbers, unweighted & weighted fit (Python statsmodels) and extrapolation

3/5
E) supplemental table: which sublineages with which proportions (rel. to whole of samples over time) are contained in the "* et. al." clusters (for JN.1 & desc.) of A/B

F) legend for "* et. al." clustering (relevant spike mutations) & cov-spectrum.org advanced filters

2/5
Additional plots:
C) relevant spike mutations (see F in 3/5), proportion over time, line plot, logit y-axis

D) number of sequence samples per week over time (week of sample taken), bar chart, linear y-axis. Last week is severely "incomplete" (many samples are missing, to be reported later)

1/5
Update 2024-11-27:
#SARSCoV2 sequence data from Germany

XEC/XEK fluctuates, currently higher

KP.3.1.1* ~45%
XEC+XEK ~55%

Clustered by important (& convergent) RBD+NTD spike mutations

Proportion over time:
A) stacked area plot, lin. y-axis

B) line plot, logit y-axis

What could go wrong with a two headed Department of Government Efficiency and Elon there?
😝🤪😬🙃🙈🤡

1/2
Update 2024-01-24:
Analysis of sequence data #SARSCoV2 for Germany

Clustered by most important (and convergent) RBD spike mutations (reason see previous post)

proportion over time

A) stacked area plot, lin. y-axis
B) line plot, logit y-axis

#JN1Variant #JN1

1/2
Update 2024-01-10:
Analysis of sequence data #SARSCoV2 for Germany

Clustered by most important (&convergent) RBD spike mutations (reason see previous post)

proportion over time

A) stacked area plot, lin. y-axis
B) line plot, logit y-axis

#JN1Variant #JN1

Frohe & besinnliche (&keimfreie) Weihnachten / Feiertage allerseits!

🎅🎄🎁👋

Too many clusters / categories (and would need to go back to thin lined again to make real use of line type...

Reordered color selection, "too few samples" area now light red and behind lines...

Nope, symbols don't work (or I'd have to remove the lines, or make them very thin again)

Inverse order, no markers?

Like this?
(Still Okabe&Ito colorblind optimized palette, but different order; also beefed up the lines & markers as this helps also to increase the visual distance)

1/
Update 2023-12-20:
Analysis of sequence data #SARSCoV2 for Germany

Clustered by most important (&convergent) RBD spike mutations.

Plots of proportion over time.

A) stacked area plot, lin. y-axis
B) line plot, logit y-axis

#JN1Variant #JN1 👀

😎👍

Sai-Fantasy sieht da schon ganz anderst aus...auch wenn die KI glaub nur das "icestorm" (Eis Landschaft/Thema), "blsky" (blauer Himmel?) und "Twitter" (Vogel?) aus zu nehmen scheint? 🤔😜

Definitv! 😊

Wenn ich da an meines denke?
😬😅🙈