#Tag · bonfire.cafe

Raj's dashboard, updated yesterday, shows Stratus wildly diversified, having spawned multiple third-generation pango aliases and descendant recombinants. This after months of data suggesting XFG evolution had been stagnant.

GISAID data for the most recent three-week-and-change period is dominated by submissions from New York (178 sequences), followed by Colorado (137), Oregon (77), Nebraska (58), and Minnesota (39).

#CDC's most dataset, updated September 26, showed Stratus XFG family dominating, with Nimbus NB.1.8.1 / PQ in second place, down to one-fourteenth share, this nearly neck-in-neck with FDA Vaccine Target LP.8.1 (or its family line) at one-seventeenth share.

Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.

❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

Chart: Est. & Reported U.S. Variant Proportions by Common Name
Sources: CDC, Cov-Lineages, NYITCOM, others

[ beadsland on Ko-fi ]

Reskin of CDC's Variants Nowcast, and any significant variants in GISAID not broken out by CDC.

Four bar-style tree-charts, for four-week periods through 8/31–9/27. Legend of last four-week period, organized by subheadings of color-grouped families and convergent clusters. Percentages overlay each color key, reflecting share as of most recent tree-chart.

Mostly WHO-Vaccine-Target JN.1 dynasty. Stratus XFG family accounts for largely share.

For 8/31–9/27, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast.

Legend:

LF.7 + NTD-meets-RBD [red]:
85% - XFG.2†, XFG.3†, XFG.4.1†, XFG.3.4.1 / QF†, XFG.5.1†, XFG.14.1†, XFG.5.2†, XFG.8†, XFG.3.15† & other Stratus XFG

JN.1.11 [browns]:
0% - KP.3
0% - KP.1.1.3 / LP, PA.1 & MC.10.1
6% - NW.1 & other FDA-Vaccine-Target LP.8.1

JN.1 + FLiRT-LF-7 [blues]:
⅖% - LF.7.9, LF.7.7.1 / PV & LF.7.2.1 / PC
⅗% - other LF.7

LF.7 + NTD-meets-RBD [purple]:
⅗% - XFC

JN.1 [greens]:
¼% - JN.1.16.1 / LF
0% - XEC & XEC.4

Other [greys]:
7% - Nimbus NB.1.8.1 / PQ, XDV.1 & other Omicron-2 BA.2
⅒% - Omicron B.1.1.529 / BA & Other (not specified)
_____

Omicron-2 BA.2 is a child of 2022 Omicron B.1.1.529.

Stratus XFG is a child of April's WHO-Vaccine-Target scion LF.7 and Juneish JN.1.11 scion LP.8.1.2 / NW.

[Some footnotes omitted, due to too many recombinants.] — Chart: Est. & Reported U.S. Variant Proportions by Common Name Sources: CDC, Cov-Lineages, NYITCOM, others [ beadsland on Ko-fi ] Reskin of CDC's Variants Nowcast, and any significant variants in GISAID not broken out by CDC. Four bar-style tree-charts, for four-week periods through 8/31–9/27. Legend of last four-week period, organized by subheadings of color-grouped families and convergent clusters. Percentages overlay each color key, reflecting share as of most recent tree-chart. Mostly WHO-Vaccine-Target JN.1 dynasty. Stratus XFG family accounts for largely share. For 8/31–9/27, packed bubble charts fill single-variant tiles, reflecting GISAID detail not shown by CDC's Nowcast. Legend: LF.7 + NTD-meets-RBD [red]: 85% - XFG.2†, XFG.3†, XFG.4.1†, XFG.3.4.1 / QF†, XFG.5.1†, XFG.14.1†, XFG.5.2†, XFG.8†, XFG.3.15† & other Stratus XFG JN.1.11 [browns]: 0% - KP.3 0% - KP.1.1.3 / LP, PA.1 & MC.10.1 6% - NW.1 & other FDA-Vaccine-Target LP.8.1 JN.1 + FLiRT-LF-7 [blues]: ⅖% - LF.7.9, LF.7.7.1 / PV & LF.7.2.1 / PC ⅗% - other LF.7 LF.7 + NTD-meets-RBD [purple]: ⅗% - XFC JN.1 [greens]: ¼% - JN.1.16.1 / LF 0% - XEC & XEC.4 Other [greys]: 7% - Nimbus NB.1.8.1 / PQ, XDV.1 & other Omicron-2 BA.2 ⅒% - Omicron B.1.1.529 / BA & Other (not specified) _____ Omicron-2 BA.2 is a child of 2022 Omicron B.1.1.529. Stratus XFG is a child of April's WHO-Vaccine-Target scion LF.7 and Juneish JN.1.11 scion LP.8.1.2 / NW. [Some footnotes omitted, due to too many recombinants.]

sport of sacred spherical cows

@beadsland@hcommons.social · 2 days ago

GISAID data for the most recent three-week-and-change period is dominated by submissions from New York (178 sequences), followed by Colorado (137), Oregon (77), Nebraska (58), and Minnesota (39).

Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.

❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis

Mark

@maetl@cloudisland.nz · last month

Come work with me to define the future of product design education in Aotearoa!

We’re looking for an early career or mid career researcher with a strong background in teaching and design practice and experience delivering apps with modern web platform or game engine technology. We’d also love to hear from researchers with deep expertise in type design and font engineering; information architecture and data visualisation; or similar niches adjacent to product design who might thrive in our unique interdisciplinary context.

https://jobs.canterbury.ac.nz/jobdetails/ajid/GhdR9/Lecturer-Senior-Lecturer-in-Digital-Product-Design,28713#

#AcademicJobs #UX #ProductDesign #DesignEngineering #FontEngineering #Accessibility #DesignSystems #GameUI #DataVis #InformationArchitecture

alcinnz and 1 other boosted

Marian Dörk

@nrchtct@vis.social · 2 months ago

Revisiting Data by Design: An Interactive History of Data Visualization by @laurenfklein and the team at Emory University. Such a neat way to present the history of data visualization: https://dev.dataxdesign.io

While the book is forthcoming, the website already offers an impressive investigation into the contexts of historic maps and charts — featuring annotated originals and interactive recreations.

#DataVis #DigitalHumanities #InterfaceDesign #CriticalDataVis #History #ScrollyTelling #Literacy

Marian Dörk

@nrchtct@vis.social · 2 months ago

While the book is forthcoming, the website already offers an impressive investigation into the contexts of historic maps and charts — featuring annotated originals and interactive recreations.

#DataVis #DigitalHumanities #InterfaceDesign #CriticalDataVis #History #ScrollyTelling #Literacy

Kathy Reid boosted

Marian Dörk

@nrchtct@vis.social · 3 months ago

Part I of CG&A special issue on #CriticalDataVis is out and @uclab_potsdam contributes two papers on interactivity and storytelling in #DataVis:

Toward Collective Storytelling: Investigating Audience Annotations in Data Visualizations
https://doi.org/10.1109/MCG.2025.3547944

Critical Interactivity: Exploration and Narration in Data Visualization
https://doi.org/10.1109/mcg.2025.3544684

Big thanks to editors Georgia Panagiotidou @mcnuttandrew @gotdairyya @nicolehengesbach Miriah Meyer!

#FHPotsdam #OpenAccess #InterfaceDesign

Marian Dörk

@nrchtct@vis.social · 3 months ago

Part I of CG&A special issue on #CriticalDataVis is out and @uclab_potsdam contributes two papers on interactivity and storytelling in #DataVis:

Toward Collective Storytelling: Investigating Audience Annotations in Data Visualizations
https://doi.org/10.1109/MCG.2025.3547944

Critical Interactivity: Exploration and Narration in Data Visualization
https://doi.org/10.1109/mcg.2025.3544684

Big thanks to editors Georgia Panagiotidou @mcnuttandrew @gotdairyya @nicolehengesbach Miriah Meyer!

#FHPotsdam #OpenAccess #InterfaceDesign

Carlos Cámara-Menoyo

@ccamara@scholar.social · 4 months ago

If you're interested in #maps #cartography #equity #feminism or #dataviz #datavis , I'd kindly invite you to join the workshop:

Creating Inclusive Cartographies with #OpenStreetMap

📆 27th June 9:00 - 17:00
🗺️ University of Warwick

+info: https://warwick.ac.uk/fac/cross_fac/cim/research/digital-good-neutrality-osm/inclusive-cartographies-workshop/

signup: https://warwick.ac.uk/fac/cross_fac/cim/research/digital-good-neutrality-osm/inclusive-cartographies-workshop/warwick-27-june

Workshop poster displaying a map from W.E.B. Dubois and a text stating:

"Creating Inclusive cartographies with OpenStreetMap

27th June, University of Warwick" — Workshop poster displaying a map from W.E.B. Dubois and a text stating: "Creating Inclusive cartographies with OpenStreetMap 27th June, University of Warwick"