Masthash

#BetterMasks

"You do you" is Eu-gen-ics.
5 days ago

Per WHO, every 12 minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over—covid is not done with us.

[China data restored; 43K Vietnam deaths reported 7/30.]

❖ #ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS, Census [ beadsland on Ko-fi ] Line chart plotting various mortality measures on a logarithmic scale, with reference percentages on right-axis. Legend: • Elevated Deaths vs. 2017-2019 (adj. for pop.) • Est. Excess Deaths — All Causes / Rolling Year • Acute Covid Deaths — Rolling Year • Share of Excess Deaths Not Attributed to Covid • Percent Elevation Observed Deaths over 2017-2019 Average First two figures held ~325K & ~190K, respectively, Feb-Jun—despite annual acute covid deaths down from ~190K to ~120K same period. Entering Jul, ~315K & ~170K—with 3rd down to ~110K entering Aug. Share of excess deaths reflects above—holds ~30% since May. Percent elevation observed deaths—over 20% mid 2022—holds near 11% since Feb. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. This ratio has been above three in ten since May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
Chart: U.S. Share of 28-Day Covid Deaths Data: WHO (via Our World in Data), NCHS (via CDC), official srcs (via Wikipedia) [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, for 3 years through Sept. 3, 2023, this being the most recent date on which at least 50% of world population was represented in weekly reporting (see note regarding ◇ data points, below). Share of population for each comparison is provided for reference. With the end of PHE aggregate tracking, U.S. ceased reporting covid deaths to WHO. After 5/14/23, chart uses provisional covid deaths from NCHS. ◇ data points represent sum population (via Wikipedia) of those countries that reported at least one death in prior week, as percentage of world pop. [Down to near 60% as of July. Was 90% last August.] 7-day avg of U.S. share of G8 covid deaths at 81.6%, on an upward trajectory, well exceeding share of pop. (~38%). Same date last year, share of G8 covid deaths was 40.5%, jaggedly climbing toward winter. Avg. U.S. share of G20 covid deaths now 58.7% (vs. ~7% of G20 population). Same date last year: 21.3%. U.S. share of global parallels: now 56.2% (vs. ~4% of pop.). This date last year, U.S. share of global covid deaths was 20.2%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for troughs due data dumps by China & Vietnam, May & July 2023.
"You do you" is Eu-gen-ics.
1 week ago

After 6 weeks, CDC resumed estimates for Mid-Atlantic. Five regions remain dark.

For regions with estimates:

• Fornax FL.1.5.1 over ¼ in NY/NJ, over ⅙ in Mid-Atlantic

• EG.5 over ³⁄₁₀ in SW, near ³⁄₁₀ in Gr Lakes, ¼ in Mid-Atl, near ¼ in NY/NJ, ⅕ in SE.

• XBB.1.16.6 > ⅐ in SE.

[See toot above for variants CDC map color key & links to sources for charts.]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 9/22/23 3:46:41 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show over twelve dozen Pangolin subvariants, excluding XBB.1.9.* lineages. Top subvariants: Arcturus dot6 XBB.1.16.6 (18.73%), Arcturus XBB.1.16 (8.04%), Acrux scion GJ.1.2 (5.44%), Arcturus dot11 XBB.1.16.11 (5.32%). Raj has standardized bubbles to orange (Kraken XBB.1.5.*), green (Arcturus XBB.1.16.*), yellow (Acrux XBB.2.3.*), brown (XBB.1.18.*), purple (XBB.1.22.*), blue (BA.2.75.*), and grey (all others but for XBB.1.9 lineage); although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: XBB.1.16.6 (green) for Texas (52), New York (38), California, Utah, Virginia, Florida; XBB.1.22 (purple) for Texas (38); XBB.1.16 (green) and XBB.1.5 (orange) for Texas. Innumerable additional variously smaller bubbles for near 140 variants, across various states.
Map: Nowcast Estimates for 9/3/2023 - 9/16/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 9/16/2023. Bold annotation overwrites map, reading "Nowcast estimates are only available for regions 2, 3, 4, 5, and 9." These regions are namely 2: New York/New Jersey (incl. Puerto Rico & Virgin Islands); 3: Mid-Atlantic; 4: Southeast; 5: Great Lakes; and 9: Southwest (incl. Hawaii and Pacific territories and compact associations). Dominant strains by region: NY/NJ: Fornax FL.1.5.1 (moss 27.7%) and Eris fam EG.5 (peach 23.1%). Mid-Atlantic: Eris fam EG.5 (peach 25.2%), Fornax FL.1.5.1 (moss 15.9%), and Arcturus XBB.1.16 (blueberry 10.1%). Southeast: Eris fam EG.5 (peach 19.5%), Arcturus dot6 XBB.1.16.6 (clover 15.0%), Fornax FL.1.5.1 (moss 10.8%), and Eris scion HV.1 (ash 10.7%). Great Lakes: Eris fam EG.5 (peach 28.3%), Arcturus XBB.1.16 (blueberry 10.7%), Fornax FL.1.5.1 (moss 9.4%), Arcux XBB.2.3 (cotton candy 7.4%) and Arcturus dot6 XBB.1.16.6 (clover 7.4%). Southwest: Eris fam EG.5 (peach 31.1%), Arcturus XBB.1.16 (blueberry 12.8%), and Acrux XBB.2.3 (cotton candy 8.6%). ALT-text by beadsland at ko-fi.
"You do you" is Eu-gen-ics.
1 week ago

Twentieth week of post-Kraken soup, Hyperion-2 XBB.1.9.2/EG now near one third of three-week GISAID sequences, with Hyperion 1.9.1/FL still one in nine.

Arcturus XBB.1.16 family holds over one in four; Kraken XBB.1.5 now below one in nine; Acrux 2.3 (incl GJ & GE) down to one in ten.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 9/22/23 3:46:41 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.9, including parent. Top subvariants: Fornax FL.1.5.1 (17.78%), Eris dot1 EG.5.1.1 (17.70%), Eris EG.5.1 (15.26%), and Eris descendant HV.1 (10.78%). Raj has standardized bubbles to pink (XBB.1.9.1*, incl. FL & HN), red (XBB.1.9.2*, incl. EG & HV), and grey (for other variants, here XBB.1.9.3+, incl. GD), although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: EG.5.1.1 (red) for California (54), Texas (32), New York, Virginia; FL.1.5.1 (pink) for New York (46), Texas (33), California, New Jersey; EG.5.1 (red) for California (42), New York (33), Texas & Washington; EG.5.1.3 (red) for California (31) and New York; HV.1 (red) and EG.5.1.4 (red) for New York; EG.5.1.6 (red) for Texas. Dozens of additional smaller bubbles for various variants and states. ALT-text by beadsland at ko-fi.
CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 6/10/23 thru 8/19/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. Kraken XBB.1.5 (indigo) was dominant through May. Now crowded out by EG.5 (peach, incl. Eris EG.5.1), Fornax FL.1.5.1 (moss), Arcturus XBB.1.16 (blueberry), dot6 XBB.1.16.6 (clover), Eris-scion HV.1 (ash), Acrux XBB.2.3 (cotton candy). Meanwhile Kraken dot70 XBB.1.5.70 (forest), Acrux-scion GE.1 (bubble gum) and Arcturus dot11 (muted pink) gaining share steadily. XBB.1.5 estimated at 4.0% and 2.2% vs. 8.5% fortnight of 8/5, for average -41% biweekly drop in estimated share. XBB.1.5.70 estimated at 3.4% & 3.8% vs. 3.2%, for avg +23% gain in est. share. FL.1.5.1 at 10.6% & 13.7% vs. 7.2%, for avg +31% gain in est. share. EG.5 at 22.3% & 24.5% vs. 18.1%, for avg +17% gain in est. share. HV.1 at 4.8% & 8.4% vs. 3.1%, for avg. +96% gain in share. XBB.1.16 at 11.3% & 10.2% vs. 12.6%, for avg -6% loss in share. XBB.1.16.1 at 5.3% & 4.1% vs. 7.0%, for avg -15% loss in share. XBB.1.16.6 at 9.4% & 9.9% vs. 7.7%, for avg +17% gain in share. XBB.1.16.11 at 2.9% & 3.0% vs. 2.5%, for avg. +13% gain in share. XBB.2.3 at 8.6% & 7.2% vs. 9.3%, for avg -9% loss in share. GE.1 at 1.8% & 1.7%% vs. 1.7%, for avg 14% gain in share. ALT-text by beadsland on Ko-fi.
"You do you" is Eu-gen-ics.
2 weeks ago

Per WHO, every 12 minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over—covid is not done with us.

[China data redacted post-March—no 2nd viz update.]

❖ #ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS, Census [ beadsland on Ko-fi ] Line chart plotting various mortality measures on a logarithmic scale, with reference percentages on right-axis. Legend: • Elevated Deaths vs. 2017-2019 (adj. for pop.) • Est. Excess Deaths — All Causes / Rolling Year • Acute Covid Deaths — Rolling Year • Share of Excess Deaths Not Attributed to Covid • Percent Elevation Observed Deaths over 2017-2019 Average First two figures held ~325K & ~190K, respectively, Feb-Jun—despite annual acute covid deaths down from ~190K to ~120K same period. Entering Jul, ~315K & ~170K—with 3rd down to ~110K entering Aug. Share of excess deaths reflects above—holds ~30% since May. Percent elevation observed deaths—over 20% mid 2022—holds near 11% since Feb. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. This ratio has been above three in ten since May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
Chart: U.S. Share of 28-Day Covid Deaths Data: WHO (via Our World in Data), NCHS (via CDC), official srcs (via Wikipedia) [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, for 3 years through Sept. 1, 2023, this being the most recent date on which at least 50% of world population was represented in weekly reporting (see note regarding ◇ data points, below). Share of population for each comparison is provided for reference. With the end of PHE aggregate tracking, U.S. ceased reporting covid deaths to WHO. After 5/14/23, chart uses provisional covid deaths from NCHS. ◇ data points represent sum population (via Wikipedia) of those countries that reported at least one death in prior week, as percentage of world pop. [Down to near 60% as of July. Was 90% last August.] 7-day avg of U.S. share of G8 covid deaths at 85.4%, on an upward trajectory, well exceeding share of pop. (~38%). Same date last year, share of G8 covid deaths was 40.4%, jaggedly climbing toward winter. Avg. U.S. share of G20 covid deaths now 58.5% (vs. ~7% of G20 population). Same date last year: 20.9%. U.S. share of global parallels: now 57.0% (vs. ~4% of pop.). This date last year, U.S. share of global covid deaths was 19.9%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for G20/global trough due to data dump for China, March 2023.
"You do you" is Eu-gen-ics.
2 weeks ago

After 6 weeks, CDC resumes estimates for Mid-Atlantic. Five regions remain dark.

For regions with estimates:

• Fornax FL.1.5.1 over ¼ in NY/NJ, over ⅙ in Mid-Atlantic

• EG.5 over ³⁄₁₀ in SW, near ³⁄₁₀ in Gr Lakes, ¼ in Mid-Atl, near ¼ in NY/NJ, ⅕ in SE.

• XBB.1.16.6 > ⅐ in SE.

[See toot above for variants CDC map color key & links to sources for charts.]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Map: Nowcast Estimates for 9/3/2023 - 9/16/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 9/16/2023. Bold annotation overwrites map, reading "Nowcast estimates are only available for regions 2, 3, 4, 5, and 9." These regions are namely 2: New York/New Jersey (incl. Puerto Rico & Virgin Islands); 3: Mid-Atlantic; 4: Southeast; 5: Great Lakes; and 9: Southwest (incl. Hawaii and Pacific territories and compact associations). Dominant strains by region: NY/NJ: Fornax FL.1.5.1 (moss 27.7%) and Eris fam EG.5 (peach 23.1%). Mid-Atlantic: Eris fam EG.5 (peach 25.2%), Fornax FL.1.5.1 (moss 15.9%), and Arcturus XBB.1.16 (blueberry 10.1%). Southeast: Eris fam EG.5 (peach 19.5%), Arcturus dot6 XBB.1.16.6 (clover 15.0%), Fornax FL.1.5.1 (moss 10.8%), and Eris scion HV.1 (ash 10.7%). Great Lakes: Eris fam EG.5 (peach 28.3%), Arcturus XBB.1.16 (blueberry 10.7%), Fornax FL.1.5.1 (moss 9.4%), Arcux XBB.2.3 (cotton candy 7.4%) and Arcturus dot6 XBB.1.16.6 (clover 7.4%). Southwest: Eris fam EG.5 (peach 31.1%), Arcturus XBB.1.16 (blueberry 12.8%), and Acrux XBB.2.3 (cotton candy 8.6%). ALT-text by beadsland at ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 9/15/23 3:17:19 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show over twelve dozen Pangolin subvariants, excluding XBB.1.9.* lineages. Top subvariants: Arcturus dot6 XBB.1.16.6 (13.09%), Arcturus XBB.1.16 (8.84%), Acrux scion GJ.1.2 (6.82%), Arcturus dot11 XBB.1.16.11 (5.01%). Raj has standardized bubbles to orange (Kraken XBB.1.5.*), green (Arcturus XBB.1.16.*), yellow (Acrux XBB.2.3.*), brown (XBB.1.18.*), purple (XBB.1.22.*), blue (BA.2.75.*), and grey (all others but for XBB.1.9 lineage); although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: XBB.1.16 (green) for California (50) and New York; GJ.1.2 (yellow) for California and Nebraska; XBB.1.16.6 (green) for California, Texas and New York; XBB.1.16.11 (green) and XBB.2.3 (yellow) for California; XBB.1.5 (orange) for Texas; and XBB.1.16.1 (green) for California. Innumerable additional variously smaller bubbles for over a hundred thirty variants, across various states.
"You do you" is Eu-gen-ics.
2 weeks ago

Ninteenth week of post-Kraken soup, Hyperion-2 XBB.1.9.2/EG now over three in ten of three-week GISAID sequences, with Hyperion 1.9.1/FL still at one in nine.

Arcturus XBB.1.16 family dips to one in four; Kraken XBB.1.5 now below one in seven; Acrux 2.3 (incl GJ & GE) up to one in eight.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 6/10/23 thru 8/19/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. Kraken XBB.1.5 (indigo) was dominant through May. Now crowded out by EG.5 (peach, incl. Eris EG.5.1), Fornax FL.1.5.1 (moss), Arcturus XBB.1.16 (blueberry), dot6 XBB.1.16.6 (clover), Eris-scion HV.1 (ash), Acrux XBB.2.3 (cotton candy). Meanwhile Kraken dot70 XBB.1.5.70 (forest), Acrux-scion GE.1 (bubble gum) and Arcturus dot11 (muted pink) gaining share steadily. XBB.1.5 estimated at 4.0% and 2.2% vs. 8.5% fortnight of 8/5, for average -41% biweekly drop in estimated share. XBB.1.5.70 estimated at 3.4% & 3.8% vs. 3.2%, for avg +23% gain in est. share. FL.1.5.1 at 10.6% & 13.7% vs. 7.2%, for avg +31% gain in est. share. EG.5 at 22.3% & 24.5% vs. 18.1%, for avg +17% gain in est. share. HV.1 at 4.8% & 8.4% vs. 3.1%, for avg. +96% gain in share. XBB.1.16 at 11.3% & 10.2% vs. 12.6%, for avg -6% loss in share. XBB.1.16.1 at 5.3% & 4.1% vs. 7.0%, for avg -15% loss in share. XBB.1.16.6 at 9.4% & 9.9% vs. 7.7%, for avg +17% gain in share. XBB.1.16.11 at 2.9% & 3.0% vs. 2.5%, for avg. +13% gain in share. XBB.2.3 at 8.6% & 7.2% vs. 9.3%, for avg -9% loss in share. GE.1 at 1.8% & 1.7%% vs. 1.7%, for avg 14% gain in share. ALT-text by beadsland on Ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 9/15/23 3:17:19 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.9, including parent. Top subvariants: Eris EG.5.1 (20.35%), dot1 EG.5.1.1 (17.99%), Fornax FL.1.5.1 (16.52%), Eris dot3 EG.5.1.3 (7.57%), Eris descendant HV.1 (5.90%). Raj has standardized bubbles to pink (XBB.1.9.1*, incl. FL & HN), red (XBB.1.9.2*, incl. EG & HV), and grey (for other variants, here XBB.1.9.3+, incl. GD), although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: EG.5.1 (red) for California (110) and New York; FL.1.5.1 (pink) for California (49), New York (37), and Texas; EG.5.1.3 (red) for California (31); EG.6.1 (red) for California; EG.5.1.4 (red) for California; HV.1 (red) for California; and EG.5.1.1 (red) for Texas and New York. Dozens of additional smaller bubbles for numerous various variants and states. ALT-text by beadsland at ko-fi.
"You do you" is Eu-gen-ics.
3 weeks ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

[2nd viz moves 3 wks—global data in upswing.]

❖ #ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS, Census [ beadsland on Ko-fi ] Line chart plotting various mortality measures on a logarithmic scale, with reference percentages on right-axis. Legend: • Elevated Deaths vs. 2017-2019 (adj. for pop.) • Est. Excess Deaths — All Causes / Rolling Year • Acute Covid Deaths — Rolling Year • Share of Excess Deaths Not Attributed to Covid • Percent Elevation Observed Deaths over 2017-2019 Average First two figures held ~325K & ~190K, respectively, Feb-Jun—despite annual acute covid deaths down from ~190K to ~120K same period. Entering Jul, ~315K & ~170K—with 3rd down to ~110K entering Aug. Share of excess deaths reflects above—holds ~30% since May. Percent elevation observed deaths—over 20% mid 2022—holds near 11% since Feb. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. This ratio has been above three in ten since May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
Chart: U.S. Share of 28-Day Covid Deaths Data: WHO (via Our World in Data), NCHS (via CDC), official srcs (via Wikipedia) [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, for 3 years through Sept. 1, 2023, this being the most recent date on which at least 50% of world population was represented in weekly reporting (see note regarding ◇ data points, below). Share of population for each comparison is provided for reference. With the end of PHE aggregate tracking, U.S. ceased reporting covid deaths to WHO. After 5/14/23, chart uses provisional covid deaths from NCHS. ◇ data points represent sum population (via Wikipedia) of those countries that reported at least one death in prior week, as percentage of world pop. [Down to near 60% as of July. Was 90% last August.] 7-day avg of U.S. share of G8 covid deaths at 85.4%, on an upward trajectory, well exceeding share of pop. (~38%). Same date last year, share of G8 covid deaths was 40.4%, jaggedly climbing toward winter. Avg. U.S. share of G20 covid deaths now 58.5% (vs. ~7% of G20 population). Same date last year: 20.9%. U.S. share of global parallels: now 57.0% (vs. ~4% of pop.). This date last year, U.S. share of global covid deaths was 19.9%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for G20/global trough due to data dump for China, March 2023.
"You do you" is Eu-gen-ics.
3 weeks ago

After 4 weeks, CDC resumed variant estimates for Great Lakes. Six regions remain dark.

For regions with estimates:

• Fornax FL.1.5.1 over ¼ in NY/NJ, ⅒ in Grt. Lakes.

• EG.5 near ⅓ in SW, ¼ in Gr Lks, ⅕ in NY/NJ & ⅙ in SE.

• XBB.1.16.6 near ⅙ in SE. XBB.1.16 over ⅒ in SW.

[See toot above for variants CDC map color key & links to sources for these charts.]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 9/8/23 3:21:14 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show over twelve dozen Pangolin subvariants, excluding XBB.1.9.* lineages. Top subvariants: Arcturus dot6 XBB.1.16.6 (13.46%), Arcturus XBB.1.16 (9.73%), GJ.1.2 (5.66%), Kraken XBB.1.5 (4.57%). Raj has standardized bubbles to orange (Kraken XBB.1.5.*), green (Arcturus XBB.1.16.*), yellow (Acrux XBB.2.3.*), brown (XBB.1.18.*), purple (XBB.1.22.*), blue (BA.2.75.*), and grey (all others but for XBB.1.9 lineage); although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: XBB.1.16.6 (green) for Texas, Florida, New York and Colorado; XBB.1.16 (green) for Texas and California. Innumerable additional variously smaller bubbles for over a hundred fifty variants, across various states. ALT-text by beadsland at ko-fi.
Map: Nowcast Estimates for 8/20/2023 - 9/2/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 9/2/2023. Bold annotation overwrites map, reading "Nowcast estimates are only available for regions 2, 4, 5, and 9." These regions are namely 2: New York/New Jersey (incl. Puerto Rico & Virgin Islands); 4: Southeast; 5: Great Lakes; and 9: Southwest (incl. Hawaii and Pacific territories and compact associations). Dominant strains by region: NY/NJ: Fornax FL.1.5.1 (moss 27.9%), EG.5 (peach 19.6%), Arcturus dot6 XBB.1.16.6 (clover 8.2%). Southeast: Fornax FL.1.5.1 (moss 27.9%), EG.5 (peach 19.6%), Arcturus dot6 XBB.1.16.6 (clover 8.2%). Great Lakes: EG.5 (peach 24.5%), FL.1.5.1 (moss 10.0%), Arcturus XBB.1.16 (blueberry 9.3%), Acrux XBB.2.3 (cotton candy 8.4%). Southwest: EG.5 (peach 28.7%), Arcturus XBB.1.16 (blueberry 11.6%), Acrux XBB.2.3 (cotton candy 9.8%), Arcturus dot6 XBB.1.16.6 (clover 7.3%). ALT-text by beadsland at ko-fi.
"You do you" is Eu-gen-ics.
3 weeks ago

Eighteenth week of post-Kraken soup, Arcturus XBB.1.16 family dips down below one third of three-week GISAID sequences.

Hyperion-2 XBB.1.9.2/EG now over one in four, w/ Hyperion 1.9.1/FL down to one in nine.

Kraken XBB.1.5 holds at one in seven; Acrux 2.3 (incl GJ & GE) holds at one in nine.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 9/8/23 3:21:14 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.9, including parent. Top subvariants: Eris dot1 EG.5.1.1 (18.02%), Fornax FL.1.5.1 (17.03%), Eris EG.5.1 (16.59%). Raj has standardized bubbles to pink (XBB.1.9.1*, incl. FL & HN), red (XBB.1.9.2*, incl. EG & HV), and grey (for other variants, here XBB.1.9.3+, incl. GD), although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: FL.1.5.1 (pink) for New York (69), Texas (37) and Colorado; EG.5.1 (red) for California (46), New York and Texas; EG.5.1.1 (red) for California (45), Texas, New York and Virginia; EG.5.1.3 (red) for California. Dozens of additional smaller bubbles for numerous various variants and states. ALT-text by beadsland at ko-fi.
CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 5/27/23 thru 8/5/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. Kraken XBB.1.5 (indigo) was dominant through May. Now crowded out by EG.5 (peach, incl. Eris EG.5.1), Fornax FL.1.5.1 (moss), Arcturs dot6 XBB.1.16.6 (clover), Arcturus XBB.1.16 (blueberry), Acrux XBB.2.3 (cotton candy), HV.1 (ash), and Arcturus dot1 XBB.1.16.1 (salmon). Meanwhile Arcturus dot11 (muted pink), and Kraken dot70 XBB.1.5.70 (forest) gaining share steadily. XBB.1.5 estimated at 5.6% and 3.1% vs. 11.9% fortnight of 8/5, for average -43% weekly drop in estimated share. XBB.1.5.70 estimated at 3.0% & 3.5% vs. 2.2%, for avg +27% gain in est. share. FL.1.5.1 at 9.5% & 14.5% vs. 6.2%, for avg +54% gain in est. share. EG.5 at 18.6% & 21.5% vs. 15.4%, for avg +23% gain in est. share. HV.1 at 2.5% & 5.1% vs. 1.2%, for avg. +117% gain in share. XBB.1.16 at 11.5% & 8.9% vs. 11.8%, for avg -16% loss in share. XBB.1.16.1 at 6.3% & 5.0% vs. 6.7%, for avg -7% loss in share. XBB.1.16.6 at 8.2% & 9.2% vs. 6.1%, for avg +33% gain in share. XBB.1.16.11 at 2.6% & 2.8% vs. 2.0%, for avg. +27% gain in share. XBB.2.3 at 9.4% & 8.1% vs. 9.7%, for avg -5% loss in share. ALT-text by beadsland on Ko-fi.
"You do you" is Eu-gen-ics.
4 weeks ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

[2nd viz moves 3 dys—global data trickles in.]

❖ #ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS, Census [ beadsland on Ko-fi ] Line chart plotting various mortality measures on a logarithmic scale, with reference percentages on right-axis. Legend: • Elevated Deaths vs. 2017-2019 (adj. for pop.) • Est. Excess Deaths — All Causes / Rolling Year • Acute Covid Deaths — Rolling Year • Share of Excess Deaths Not Attributed to Covid • Percent Elevation Observed Deaths over 2017-2019 Average First two figures held ~325K & ~190K, respectively, Feb-Jun—despite annual acute covid deaths down from ~190K to ~120K same period. Entering Jul, ~315K & ~170K—with 3rd down to ~110K entering Aug. Share of excess deaths reflects above—holds ~30% since May. Percent elevation observed deaths—over 20% mid 2022—holds above 11% since Feb. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. This ratio has been above three in ten since May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
Chart: U.S. Share of 28-Day Covid Deaths Data: WHO (via Our World in Data), NCHS (via CDC), official srcs (via Wikipedia) [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, for 2½ years through August 10, 2023, this being the most recent date on which at least 50% of world population was represented in weekly reporting (see note regarding ◇ data points, below). Share of population for each comparison is provided for reference. With the end of PHE aggregate tracking, U.S. ceased reporting covid deaths to WHO. After 5/14/23, chart uses provisional covid deaths from NCHS. ◇ data points represent sum population (via Wikipedia) of those countries that reported at least one death in prior week, as percentage of world pop. [Down to near 60% as of July. Was 90% last August.] 7-day avg of U.S. share of G8 covid deaths at 77.2%, on an upward trajectory, well exceeding share of pop. (~38%). Same date last year, share of G8 covid deaths was 40.6%, jaggedly climbing toward winter. Avg. U.S. share of G20 covid deaths now 45.4% (vs. ~7% of G20 population). Same date last year: 18.7%. U.S. share of global parallels: now 39.5% (vs. ~4% of pop.). This date last year, U.S. share of global covid deaths was 18.8%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for G20/global trough due to data dump for China, March 2023.
"You do you" is Eu-gen-ics.
1 month ago

After 4 weeks, CDC resumes variant estimates for Great Lakes. Six regions remain dark.

For regions with estimates:

• Fornax FL.1.5.1 over ¼ in NY/NJ, ⅒ in Grt. Lakes.

• EG.5 near ⅓ in SW, ¼ in Gr Lks, ⅕ in NY/NJ & ⅙ in SE.

• XBB.1.16.6 near ⅙ in SE. XBB.1.16 over ⅒ in SW.

[See toot above for variants CDC map color key & links to sources for these charts.]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Map: Nowcast Estimates for 8/20/2023 - 9/2/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 9/2/2023. Bold annotation overwrites map, reading "Nowcast estimates are only available for regions 2, 4, 5, and 9." These regions are namely 2: New York/New Jersey (incl. Puerto Rico & Virgin Islands); 4: Southeast; 5: Great Lakes; and 9: Southwest (incl. Hawaii and Pacific territories and compact associations). Dominant strains by region: NY/NJ: Fornax FL.1.5.1 (moss 27.9%), EG.5 (peach 19.6%), Arcturus dot6 XBB.1.16.6 (clover 8.2%). Southeast: Fornax FL.1.5.1 (moss 27.9%), EG.5 (peach 19.6%), Arcturus dot6 XBB.1.16.6 (clover 8.2%). Great Lakes: EG.5 (peach 24.5%), FL.1.5.1 (moss 10.0%), Arcturus XBB.1.16 (blueberry 9.3%), Acrux XBB.2.3 (cotton candy 8.4%). Southwest: EG.5 (peach 28.7%), Arcturus XBB.1.16 (blueberry 11.6%), Acrux XBB.2.3 (cotton candy 9.8%), Arcturus dot6 XBB.1.16.6 (clover 7.3%). ALT-text by beadsland at ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 9/1/23 4:50:53 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show over twelve dozen Pangolin subvariants, excluding XBB.1.9.* lineages. Top subvariants: Arcturus dot6 XBB.1.16.6 (12.05%), Arcturus XBB.1.16 (10.70%), GJ.1.2 (5.61%), Kraken XBB.1.5 (5.13%). Raj has standardized bubbles to orange (Kraken XBB.1.5.*), green (Arcturus XBB.1.16.*), yellow (Acrux XBB.2.3.*), brown (XBB.1.18.*), purple (XBB.1.22.*), blue (BA.2.75.*), and grey (all others but for XBB.1.9 lineage); although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: XBB.1.16 (green) for Texas (73) & California; XBB.1.16.6 (green) for Texas (64), New York & California; XBB.1.22 (purple) for Texas (58); XBB.1.5 (orange), GJ.1.2 (yellow) and XBB.1.16.1 (green) for Texas. Innumerable additional variously smaller bubbles for over a hundred fifty variants, across various states. ALT-text by beadsland at ko-fi.
"You do you" is Eu-gen-ics.
1 month ago

Seventeenth week of post-Kraken soup, CDC breaks out Hyperion-2 scion HV.1 & Hippogryph grankid XBB.1.42.1.

Arcturus XBB.1.16 family down to one in three three-week GISAID sequences.

Hyperion-2 XBB.1.9.2/EG near one in four, w/ Hyperion 1.9.1/FL at ⅛.

Kraken XBB.1.5 down to ⅐; Acrux 2.3 up to ⅑.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 5/27/23 thru 8/5/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. Kraken XBB.1.5 (indigo) was dominant through May. Now crowded out by EG.5 (peach, incl. Eris EG.5.1), Fornax FL.1.5.1 (moss), Arcturs dot6 XBB.1.16.6 (clover), Arcturus XBB.1.16 (blueberry), Acrux XBB.2.3 (cotton candy), HV.1 (ash), and Arcturus dot1 XBB.1.16.1 (salmon). Meanwhile Arcturus dot11 (muted pink), and Kraken dot70 XBB.1.5.70 (forest) gaining share steadily. XBB.1.5 estimated at 5.6% and 3.1% vs. 11.9% fortnight of 8/5, for average -43% weekly drop in estimated share. XBB.1.5.70 estimated at 3.0% & 3.5% vs. 2.2%, for avg +27% gain in est. share. FL.1.5.1 at 9.5% & 14.5% vs. 6.2%, for avg +54% gain in est. share. EG.5 at 18.6% & 21.5% vs. 15.4%, for avg +23% gain in est. share. HV.1 at 2.5% & 5.1% vs. 1.2%, for avg. +117% gain in share. XBB.1.16 at 11.5% & 8.9% vs. 11.8%, for avg -16% loss in share. XBB.1.16.1 at 6.3% & 5.0% vs. 6.7%, for avg -7% loss in share. XBB.1.16.6 at 8.2% & 9.2% vs. 6.1%, for avg +33% gain in share. XBB.1.16.11 at 2.6% & 2.8% vs. 2.0%, for avg. +27% gain in share. XBB.2.3 at 9.4% & 8.1% vs. 9.7%, for avg -5% loss in share. ALT-text by beadsland on Ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 9/1/23 4:50:53 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.9 (incl. parent). Top subvariants: Eris dot1 EG.5.1.1 (18.65%), Fornax FL.1.5.1 (18.33%), Eris EG.5.1 (14.95%). Raj has standardized bubbles to pink (XBB.1.9.1*, incl FL & HN), red (XBB.1.9.2*, incl EG & HV), and grey (for other variants, here XBB.1.9.3+, incl GD), although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: FL.1.5.1 (pink) for New York (68), Texas (47), New Jersey, and California; EG.5.1.1 (red) for Texas (55), California (35), New York & Virginia; EG.5.1 (red) for California (41), New York & Texas; EG.5.1.6 (red) for Texas; EG.5.1.3 (red) and EG.6.1 (red) for California. Dozens of additional smaller bubbles for numerous various variants & states. ALT-text by beadsland at ko-fi.
"You do you" is Eu-gen-ics.
1 month ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

[2nd viz stalled out as few countries report.]

❖ #ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS, Census [ beadsland on Ko-fi ] Line chart plotting various mortality measures on a logarithmic scale, with reference percentages on right-axis. Legend: • Elevated Deaths vs. 2017-2019 (adj. for pop.) • Est. Excess Deaths — All Causes / Rolling Year • Acute Covid Deaths — Rolling Year • Share of Excess Deaths Not Attributed to Covid • Percent Elevation Observed Deaths over 2017-2019 Average First two figures held ~325K & ~190K, respectively, Feb-Jun—despite annual acute covid deaths down from ~190K to ~120K same period. Entering Jul, ~315K & ~170K—with 3rd down to ~105K entering Aug. Share of excess deaths reflects above—holds ~30% since May. Percent elevation observed deaths—over 20% mid 2022—holds above 11% since Feb. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. This ratio has been above three in ten since May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
Chart: U.S. Share of 28-Day Covid Deaths Data: WHO (via Our World in Data), NCHS (via CDC), official srcs (via Wikipedia) [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, for 2½ years through August 7, 2023, this being the most recent date on which at least 50% of world population was represented in weekly reporting (see note regarding ◇ data points, below). Share of population for each comparison is provided for reference. With the end of PHE aggregate tracking, U.S. ceased reporting covid deaths to WHO. After 5/14/23, chart uses provisional covid deaths from NCHS. ◇ data points represent sum population (via Wikipedia) of those countries that reported at least one death in prior week, as percentage of world pop. [Down to near 60% as of July. Was 90% last August.] 7-day avg of U.S. share of G8 covid deaths at 77.4%, on an upward trajectory, well exceeding share of pop. (~38%). Same date last year, share of G8 covid deaths was 41.0%, jaggedly climbing toward winter. Avg. U.S. share of G20 covid deaths now 44.3% (vs. ~7% of G20 population). Same date last year: 18.7%. U.S. share of global parallels: now 37.6% (vs. ~4% of pop.). This date last year, U.S. share of global covid deaths was 18.8%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for G20/global trough due to data dump for China, March 2023.
"You do you" is Eu-gen-ics.
1 month ago

CDC gave up 3 weeks ago on estimating proportions in seven of ten HHS regions.

For those regions for which estimates are available:

• Fornax FL.1.5.1 near one in four in NY/NJ.

• EG.5 one in four in Southwest, approaching one in five in NY/NJ, near one in six in Southeast.

[See toot above for variants CDC map color key & links to sources for these charts.]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Map: Nowcast Estimates for 8/6/2023 - 8/19/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 8/19/2023. Bold annotation overwrites map, reading "Nowcast estimates are only available for regions 2, 4 and 9." These regions are namely 2: New York/New Jersey (incl. Puerto Rico & Virgin Islands); 4: Southeast; and 9: Southwest (incl. Hawaii and Pacific territories and compact associations). Dominant strains by region: NY/NJ: Fornax FL.1.5.1 (moss 23.5%), EG.5 (peach 18.7%), Arcturus XBB.1.16 (blueberry 9.0%), dot6 (clover 7.9%). Southeast: EG.5 (peach 16.5%), Fornax FL.1.5.1 (moss 14.9%), Arcturus dot6 XBB.1.16.6 (clover 12.5%), Arcturus XBB.1.16 (blueberry 10.3%). Southwest: EG.5 (peach 25.2%), Acrux XBB.2.3 (cotton candy 13.3%), Arcturus XBB.1.16 (blueberry 12.9%), dot1 XBB.1.16.1 (salmon 7.2%). ALT-text by beadsland at ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 8/25/23 4:19:35 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show over twelve dozen Pangolin subvariants (excl. XBB.1.9* lineages). Top subvariants: Arcturus XBB.1.16 (10.55%), dot6 (8.94%), Kraken XBB.1.5 (7.05%), Arcturus dot1 (5.55%), Acrux-descendant GJ.1.2 (4.50%), Acrux XBB.2.3 (3.72%), Arcturus dot11 (3.33%). Raj has standardized bubbles to orange (Kraken XBB.1.5.*), green (Arcturus XBB.1.16.*), yellow (Acrux XBB.2.3.*), brown (XBB.1.18.*), purple (XBB.1.22.*), blue (BA.2.75.*), and grey (all others but for XBB.1.9 lineage); although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: XBB.1.16 (green) for Texas (49) and New York; XBB.1.5 (orange) for Texas (48); XBB.1.22 (purple) for Texas; XBB.1.16.1 (green) for Texas; and XBB.1.16.6 (green) for New York and Texas. Innumerable additional variously smaller bubbles for over a hundred variants, across various states. ALT-text by beadsland at ko-fi.
"You do you" is Eu-gen-ics.
1 month ago

Sixteenth week of post-Kraken soup: over one in four GISAID sequences are still Kraken XBB.1.5 fam and piddling variants.

Hyperion-sib XBB.1.9.2/EG now at one in five, with Hyperion 1.9.2/FL up to one in eight.

Arcturus XBB.1.16 family down to one in four. Acrux 2.3 still holding at one in ten.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

❖ #ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 8/25/23 4:19:35 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.9 (incl. parent). Top subvariants: Fornax FL.1.5.1 (18.38%), Eris dot1 EG.5.1.1 (16.28%), Eris EG.5.1 (15.23%), dot3 (5.78%). Raj has standardized bubbles to pink (XBB.1.9.1*, incl FL & HN), red (XBB.1.9.2*, incl EG & HV), and grey (for other variants, here XBB.1.9.3+, incl GD), although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: FL.1.5.1 (pink) for New York (69), Texas (26) and New Jersey; EG.5.1 (red) for Texas (29), New York (27), California & Oregon; EG.5.1.1 (red) for California & New York; EG.5.1.3 (red) for Arizona; and EG.5.1.6 (red) for Texas. Dozens of additional smaller bubbles for numerous various variants & states. ALT-text by beadsland at ko-fi.
CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 5/13/23 thru 7/22/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. Kraken XBB.1.5 (indigo) was dominant through May. Now crowded out by EG.5 (peach, incl. Eris EG.5.1), Fornax FL.1.5.1 (moss), Arcturus XBB.1.16 (blueberry), Acrux XBB.2.3 (cotton candy), Arcturs dot6 XBB.1.16.6 (clover), dot1 XBB.1.16.1 (salmon). Meanwhile Arcturus dot11 (muted pink), and EG.6.1 (silk) gaining share steadily. XBB.1.5 estimated at 8.6% and 4.7% vs. 16.9% fortnight of 7/22, for average -40% weekly drop in estimated share. FL.1.5.1 estimated at 7.1% & 13.3% vs. 4.1%, for avg +125% gain in est. share. EG.5 at 16.1% & 20.6% vs. 12.5%, for avg +38% gain in est. share. EG.6.1 at 2.0% & 2.3% vs. 1.7%, for avg. +34% gain in share. XBB.1.16 at 13.3% & 10.7% vs. 15.1%, for avg -10% loss in share. XBB.1.16.1 at 7.1% & 5.9% vs. 6.7%, for avg -6% loss in share. XBB.1.16.6 at 6.6% & 8.0% vs. 3.9%, for avg +26% gain in share. XBB.1.16.11 at 1.7% & 1.9% vs. 1.4%, for avg. +44% gain in share. XBB.2.3 at 11.1% & 10.6% vs. 10.0%, for avg +5% in plateaued share. ALT-text by beadsland on Ko-fi.
"You do you" is Eu-gen-ics.
1 month ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

[2nd viz stalled out as few countries report.]

#ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks
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Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS, Census [ beadsland on Ko-fi ] Line chart plotting various mortality measures on a logarithmic scale, with reference percentages on right-axis. Legend: • Elevated Deaths vs. 2017-2019 (adj. for population) • Est. Excess Deaths — All Causes / Rolling Year • Acute Covid Deaths — Rolling Year • Share of Excess Deaths Not Attributed to Covid • Percent Elevation Observed Deaths over 2017-2019 Average The first two figures hold ~325K & ~190K, respectively, since Feb, despite annualized acute covid deaths falling from ~190K to ~110K same period. Share of excess deaths reflects this, which holds ~30% since May. Percent elevation observed deaths, over 20% mid 2022, holds above 11% since February. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. This ratio has been above three in ten since May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
Chart: U.S. Share of 28-Day Covid Deaths Data: WHO (via Our World in Data), NCHS (via CDC), official srcs (via Wikipedia) [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, for 2½ years through August 7, 2023, this being the most recent date on which at least 50% of world population was represented in weekly reporting (see note regarding ◇ data points, below). Share of population for each comparison is provided for reference. With the end of PHE aggregate tracking, U.S. ceased reporting covid deaths to WHO. After 5/14/23, chart uses provisional covid deaths from NCHS. ◇ data points represent sum population of those countries (via Wikipedia) that reported at least one death in prior week, as percentage of world pop. [Down to near 60% as of July. Was 90% last August.] 7-day avg of U.S. share of G8 covid deaths at 78.4%, on an upward trajectory, well exceeding share of pop. (~38%). Same date last year, share of G8 covid deaths was 41.0%, jaggedly climbing toward winter. Avg. U.S. share of G20 covid deaths now 43.0% (vs. ~7% of G20 population). Same date last year: 18.7%. U.S. share of global parallels: now 36.4% (vs. ~4% of pop.). This date last year, U.S. share of global covid deaths was 18.8%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for G20/global trough due to data dump for China, March 2023.
"You do you" is Eu-gen-ics.
1 month ago

CDC gave up 2 weeks ago on estimating proportions in seven of ten HHS regions.

For those regions for which estimates are available:

• Fornax FL.1.5.1 near one in four in NY/NJ.

• EG.5 one in four in Southwest, approaching one in five in NY/NJ, near one in six in Southeast.

[See toot above for variants CDC map color key & links to sources for these charts.]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks
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Map: Nowcast Estimates for 8/6/2023 - 8/19/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 8/19/2023. Bold annotation overwrites map, reading "Nowcast estimates are only available for regions 2, 4 and 9." These regions are namely 2: New York/New Jersey (incl. Puerto Rico & Virgin Islands); 4: Southeast; and 9: Southwest (incl. Hawaii and Pacific territories and compact associations). Dominant strains by region: NY/NJ: Fornax FL.1.5.1 (moss 23.5%), EG.5 (peach 18.7%), Arcturus XBB.1.16 (blueberry 9.0%), dot6 (clover 7.9%). Southeast: EG.5 (peach 16.5%), Fornax FL.1.5.1 (moss 14.9%), Arcturus dot6 XBB.1.16.6 (clover 12.5%), Arcturus XBB.1.16 (blueberry 10.3%). Southwest: EG.5 (peach 25.2%), Acrux XBB.2.3 (cotton candy 13.3%), Arcturus XBB.1.16 (blueberry 12.9%), dot1 XBB.1.16.1 (salmon 7.2%). ALT-text by beadsland at ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 8/18/23 2:47:24 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show over twelve dozen Pangolin subvariants (excl. XBB.1.9* lineage). Top subvariants: Arcturus XBB.1.16 (10.47%), dot6 XBB.1.16.6 (9.25%), Kraken XBB.1.5 (7.58%), Arcturus dot1 (5.65%), Acrux-descendant GJ.1.2 (5.07%), Acrux XBB.2.3 (3.66%), Arcturus dot11 (3.15%). Raj has standardized bubbles to orange (Kraken XBB.1.5.*), green (Arcturus XBB.1.16.*), yellow (Acrux XBB.2.3.*), brown (XBB.1.18.*), purple (XBB.1.22.*), blue (BA.2.75.*), and grey (all others but for XBB.1.9 lineage); although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: XBB.1.5 (orange) for Texas (55); XBB.1.16 (green) for Texas (48) & New York; XBB.1.16.1 (green) for Texas; XBB.1.16.6 (green) for Texas & Florida. Innumerable additional smaller bubbles for over a hundred variants, across various states.
"You do you" is Eu-gen-ics.
1 month ago

Fifteenth week of post-Kraken soup, CDC breaks out FD.1.1, Kraken dot70, EG.6.1, Arcturus dot11 & GE.1—for near thirty variants represented.

Hyperion XBB.1.9.1 (incl FL) & sib XBB.1.9.2 (incl EG), together hold near one in three 3-week GISAID sequences. Arcturus XBB.1.16 (incl FU) at three in ten.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks
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CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 5/13/23 thru 7/22/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. Kraken XBB.1.5 (indigo) was dominant through May. Now crowded out by EG.5 (peach, incl. Eris EG.5.1), Fornax FL.1.5.1 (moss), Arcturus XBB.1.16 (blueberry), Acrux XBB.2.3 (cotton candy), Arcturs dot6 XBB.1.16.6 (clover), dot1 XBB.1.16.1 (salmon). Meanwhile Arcturus dot11 (muted pink), and EG.6.1 (silk) gaining share steadily. XBB.1.5 estimated at 8.6% and 4.7% vs. 16.9% fortnight of 7/22, for average -40% weekly drop in estimated share. FL.1.5.1 estimated at 7.1% & 13.3% vs. 4.1%, for avg +125% gain in est. share. EG.5 at 16.1% & 20.6% vs. 12.5%, for avg +38% gain in est. share. EG.6.1 at 2.0% & 2.3% vs. 1.7%, for avg. +34% gain in share. XBB.1.16 at 13.3% & 10.7% vs. 15.1%, for avg -10% loss in share. XBB.1.16.1 at 7.1% & 5.9% vs. 6.7%, for avg -6% loss in share. XBB.1.16.6 at 6.6% & 8.0% vs. 3.9%, for avg +26% gain in share. XBB.1.16.11 at 1.7% & 1.9% vs. 1.4%, for avg. +44% gain in share. XBB.2.3 at 11.1% & 10.6% vs. 10.0%, for avg +5% in plateaued share. ALT-text by beadsland on Ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 8/18/23 2:47:24 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.9 (incl. parent). Top subvariants: Fornax FL.1.5.1 (16.89%), Eris EG.5.1 (14.24%), Eris dot1 (13.66%), Eris dot3 EG.5.1.3 (5.73%), EG.6.1 (5.29%) Raj has standardized bubbles to pink (XBB.1.9.1*, incl FL & HN), red (XBB.1.9.2*, incl EG & HV), and grey (for other variants, here XBB.1.9.3+, incl GD), although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: FL.1.5.1 (pink) for New York (27), Texas (20), Florida (18); EG.5.1 (red) for New York (22), Texas (18) & California; EG.5.1.1 (red) for Texas, California, New Jersey & New York; EG.5.1.6 (red) and EG.5.2 (red) for Texas. Dozens of additional smaller bubbles for numerous various variants & states.
"You do you" is Eu-gen-ics.
2 months ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

[Revised charts provide add'l info.]

#ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS, Census [ beadsland on Ko-fi ] Line chart plotting various mortality measures on a logarithmic scale, with reference percentages on right-axis. Legend: • Elevated Deaths vs. 2017-2019 (adj. for population) • Est. Excess Deaths — All Causes / Rolling Year • Acute Covid Deaths — Rolling Year • Share of Excess Deaths Not Attributed to Covid • Percent Elevation Observed Deaths over 2017-2019 Average The first two figures hold ~325K & ~190K, respectively, since Feb, despite annualized acute covid deaths falling from ~190K to ~110K same period. Share of excess deaths reflects this, which holds ~30% since May. Percent elevation observed deaths, over 20% mid 2022, holds above 11% since February. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. This ratio has been above three in ten since May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
Chart: U.S. Share of 28-Day Covid Deaths Data: WHO (via Our World in Data), NCHS (via CDC), official srcs (via Wikipedia) [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, for 2½ years through August 6, 2023, this being the most recent date on which at least 50% of world population was represented in weekly reporting (see note regarding ◇ data points, below). Share of population for each comparison is provided for reference. With the end of PHE aggregate tracking, U.S. ceased reporting covid deaths to WHO. After 5/14/23, chart uses provisional covid deaths from NCHS. ◇ data points represent sum population of those countries (via Wikipedia) that reported at least one death in prior week, as percentage of world pop. [Down to near 60% as of July. Was 90% last August.] 7-day avg of U.S. share of G8 covid deaths at 77.9%, on an upward trajectory, well exceeding share of pop. (~38%). This time last year, share of G8 covid deaths was 44.1%, jaggedly climbing toward winter. Avg. U.S. share of G20 covid deaths now 42.9% (vs. ~7% of G20 population). This time last year: 21.9%. U.S. share of global parallels: now 35.3% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 21.2%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for G20/global trough due to data dump for China, March 2023.
"You do you" is Eu-gen-ics.
2 months ago

CDC gave up on estimating proportions in seven out of ten HHS regions.

For those regions for which estimates were available last week:

• FL.1.5.1 one in five in NY/NJ.

• Arcturus XBB.1.16 near one in five in Southwest.

• EG.5 more than one in seven in all three regions.

[See toot above for variants CDC map color key & links to sources for these charts.]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 8/11/23 3:29:46 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show over twelve dozen Pangolin subvariants (excl. XBB.1.9* lineage & Kraken XBB.1.5 progenitor). Top subvariants: Arcturus XBB.1.16 (12.87%), Arcturus dot6 XBB.1.16.6 (7.91%), Acrux-descendant GJ.1.2 (6.77%), Arcturus dot1 XBB.1.16.1 (5.24%), Acrux dot2 XBB.2.3.2 (4.39%). Raj has standardized bubbles to orange (Kraken XBB.1.5.*), green (Arcturus XBB.1.16.*), yellow (Acrux XBB.2.3.*), brown (XBB.1.18.*), purple (XBB.1.22.*), blue (BA.2.75.*), and grey (all others but for XBB.1.9 lineage); although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: XBB.1.16 (green) for California, Texas and New York; XBB.2.3.8 (yellow) for an unidentified state; XBB.1.16.1 (green) for California. Innumerable additional smaller bubbles for over a hundred variants, across various states. ALT-text by beadsland at Ko-fi.
Map: Nowcast Estimates for 7/23/2023 - 8/5/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 8/5/2023. Bold annotation overwrites map, reading "Nowcast estimates are only available for regions 2, 4 and 9." These regions are namely 2: New York/New Jersey (incl. Puerto Rico & Virgin Islands); 4: Southeast; and 9: Southwest (incl. Hawaii and Pacific territories and compact associations). Dominant strains by region: NY/NJ: Fornax FL.1.5.1 (moss 20.7%), EG.5 (peach 16.0%), Arcturus XBB.1.16 (blueberry 11.5%), Kraken XBB.1.5 (cerulean 10.9%). Southeast: EG.5 (peach 15.6%), Arcturus XBB.1.16 (blueberry 15.0%), Kraken XBB.1.5 (cerulean 12.3%), Arcturus dot16 XBB.1.16.6 (clover 11.2%). Southwest: Arcturus XBB.1.16 (blueberry 18.6%), EG.5 (peach 16.2%), Acrux XBB.2.3 (cotton candy 12.8%), Arcturus dot1 XBB.1.16.1 (salmon 8.8%). ALT-text by beadsland at ko-fi.
"You do you" is Eu-gen-ics.
2 months ago

Fourteenth week of post-Kraken soup, Hyperion XBB.1.9.1 (incl. FL) & siblings (incl. XBB.1.9.2 & EG), together, now ⅓ of three-week GISAID sequences—lead by EG.5.1 & FL.1.5.1.

Arcturus XBB.1.16 (incl. FU) holds at quarter of sequences. Kraken XBB.1.5 down to two in ten. Acrux XBB.2.3 at one in ten.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 8/11/23 3:29:46 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.9 (incl. parent). Top subvariants: Eris EG.5.1 (18.33%), Fornax FL.1.5.1 (14.23%), Eris dot1 EG.5.1.1 (14.06%), EG.6.1 (6.76%), Eris dot3 EG.5.1.3 (4.63%) Raj has standardized bubbles to pink (XBB.1.9.1*, but for FL & HN), red (XBB.1.9.2*, but for EG & HV), and grey (for other variants, here XBB.1.9.3+, incl. GD), although some newer pango aliases may still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: EG.5.1 (red) for California (32) and New York (24); FL.1.5.1 (pink) for New York (21), Florida, New Jersey, California; EG.5.1.1 (red) for California, New York and New Jersey. Dozens of additional smaller bubbles for numerous various variants & states. ALT-text by beadsland at Ko-fi.
CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 4/29/23 thru 7/8/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. Kraken XBB.1.5 (indigo) was dominant through May. Now EG.5 (peach), Arcturus XBB.1.16 (blueberry), Acrux XBB.2.3 (cotton candy), Fornax FL.1.5.1 (moss), Arcturs dot6 XBB.1.16.6 (clover), dot1 XBB.1.16.1 (salmon). That said, Kraken dot72 (myrtle) gaining share steadily. XBB.1.5 estimated at 15.4% and 10.3% vs. 24.2% fortnight of 7/8, for average -32% weekly change in estimated share. XBB.1.5.72 estimated at 2.2% & 2.4% vs. 2.1%, for avg. +30% gain in est. share. XBB.1.9.1 at 7.6% & 5.4% vs. 8.2%, for avg. -22% loss in est. share. FL.1.5.1 at 3.9% & 8.6% vs. 1.4%, for avg +222% gain in share. EG.5 at 11.9% & 17.3% vs. 7.5%, for avg +58% gain in share. XBB.1.16 at 17.2% & 15.6% vs. 16.0%, for avg +6% in plateaued share. XBB.1.16.1 at 8.1% & 7.2% vs. 7.1%, for avg +1% in plateaued share. XBB.1.16.6 at 5.8% & 7.7% vs. 4.8%, for avg +57% gain in share. XBB.2.3 at 11.2% & 11.2% vs. 9.6%, for avg +8% in share. ALT-text by beadsland on Ko-fi.
"You do you" is Eu-gen-ics.
2 months ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

#ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Data: JHU before 2/28/23; WHO thereafter (via Our World in Data); NCHS (via CDC) for U.S. after 5/14/23 [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, through August 1, 2023. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 74.8%, on an upward trajectory, well exceeding share of pop. (~38%). This time last year, share of G8 covid deaths was 44.6%, climbing toward winter. Avg. U.S. share of G20 covid deaths now 40.8% (vs. ~7% of G20 population). This time last year: 22.1%. U.S. share of global parallels: now 32.7% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 21.2%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for G20/global trough due to data dump for China, March 2023.
Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS [ beadsland on Ko-fi ] Line chart shows (i) rolling annual excess deaths for all causes (with estimated deaths for recent weeks into July) and (ii) acute covid deaths into July. The former figure has been roughly between 175K and 200K from March to June, toward 165K in July. The latter has declined from about 150K to around 125K over the same period, toward 115K in July. Additional lines reflect: (i) share of excess deaths and (ii) percent elevated observed deaths over 2017-2019 average. The former spiked from about 10% in Feb to near 30% in May, only slightly down since. The latter fell to below 12% in February and has held near there since. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. Incomplete preliminary data has this ratio approaching three in ten entering May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
"You do you" is Eu-gen-ics.
2 months ago

As cases and hospitalizations rise, CDC gives up on estimating proportions in seven out of ten HHS regions. 'Nuf said.

• FL.1.5.1 one in five in NY/NJ.

• Arcturus XBB.1.16 near one in five in Southwest.

• EG.5 more than one in seven in all three regions CDC can still manage.

[See toot above for variants CDC map color key & links to sources for these charts.]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Map: Nowcast Estimates for 7/23/2023 - 8/5/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 8/5/2023. Bold annotation overwrites map, reading "Nowcast estimates are only available for regions 2, 4 and 9." These regions are namely 2: New York/New Jersey (incl. Puerto Rico & Virgin Islands); 4: Southeast; and 9: Southwest (incl. Hawaii and Pacific territories and compact associations). Dominant strains by region: NY/NJ: FL.1.5.1 (moss 20.7%), EG.5 (peach 16.0%), Arcturus XBB.1.16 (blueberry 11.5%), Kraken XBB.1.5 (cerulean 10.9%). Southeast: EG.5 (peach 15.6%), Arcturus XBB.1.16 (blueberry 15.0%), Kraken XBB.1.5 (cerulean 12.3%), XBB.1.16.6 (clover 11.2%). Southwest: Arcturus XBB.1.16 (blueberry 18.6%), EG.5 (peach 16.2%), XBB.2.3 (cotton candy 12.8%), XBB.1.16.1 (salmon 8.8%). ALT-text by beadsland at ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 8/5/23 2:08:51 AM [GMT?] | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB (excl. XBB.1.9* lineage & Kraken XBB.1.5 progenitor). Top subvariants: Arcturus XBB.1.16 (18.65%), XBB.1.16.6 (6.16%), XBB.1.16.1 (5.90%), GJ.1 (4.36%), XBB.2.3.2 (4.36%). Raj has standardized bubbles to orange (XBB.1.5.*), green (XBB.1.16.*), yellow (XBB.2.3.*), brown (XBB.1.18.*), purple (XBB.1.22.*), blue (BA.2.75.*), and grey for all others but for XBB.1.9 lineage; although some newer pango aliases appear to still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: XBB.1.16 (green) for California (56), Texas (45), New Jersey; XBB.2.3.2 (yellow) for California; XBB.1.22 (purple) for Texas. Innumerable additional smaller bubbles for over a hundred variants, across various states. ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
2 months ago

Thirteenth week of post-Kraken soup, CDC breaks out Hyperion scion FL.1.5.1.

Hyperion XBB.1.9.1 (incl. FL) & siblings (incl. XBB.1.9.2 & EG), together, near three in ten GISAID sequences.

Arcturus XBB.1.16 (incl. FU) and remnants of Kraken XBB.1.5 both ¼ of cases, with Arcturus & legacy XBB each ⅒.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 4/29/23 thru 7/8/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. Kraken XBB.1.5 (indigo) was dominant through May. Now EG.5 (peach), Arcturus XBB.1.16 (blueberry), Acrux XBB.2.3 (cotton candy), FL.1.5.1 (moss), XBB.1.16.6 (clover), Hyperion XBB.1.16.1 (salmon). That said, Kraken dot72 (myrtle) gaining share steadily. XBB.1.5 estimated at 15.4% and 10.3% vs. 24.2% fortnight of 7/8, for average -32% weekly change in estimated share. XBB.1.5.72 estimated at 2.2% & 2.4% vs. 2.1%, for avg. +30% gain in est. share. XBB.1.9.1 at 7.6% & 5.4% vs. 8.2%, for avg. -22% loss in est. share. FL.1.5.1 at 3.9% & 8.6% vs. 1.4%, for avg +222% gain in share. EG.5 at 11.9% & 17.3% vs. 7.5%, for avg +58% gain in share. XBB.1.16 at 17.2% & 15.6% vs. 16.0%, for avg +6% in plateaued share. XBB.1.16.1 at 8.1% & 7.2% vs. 7.1%, for avg +1% in plateaued share. XBB.1.16.6 at 5.8% & 7.7% vs. 4.8%, for avg +57% gain in share. XBB.2.3 at 11.2% & 11.2% vs. 9.6%, for avg +8% in share. ALT-text by beadsland on Ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report (Raj Rajnarayanan) Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 8/4/23 1:38:19 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.9 (incl. parent). Top subvariants: Eris EG.5.1 (27.56%), FL.1.5.1 (13.36%), Eris dot1 EG.5.1.1 (11.06%), Hyperion XBB.1.9.1 (7.72%), EG.5.2 (6.26%), EG.1 (5.01%). Raj has standardized bubbles to pink (XBB.1.9.1*, but for FL), red (XBB.1.9.2*, but for EG), although some newer pango aliases appear to still be getting unique colors assigned by Tableau. Bubbles largest and most prominent for: EG.5.1 (red) for New York (23), California (21), Texas (16), Nevada, Florida, Virginia; FL.1.5.1 (pink) for New York (15), Texas (15), New Jersey; EG.5.2 (red) and EG.5.1.1 (red) for Texas; FL.1.9.1 (pink) for California; and FL.4 (pink) and FL.7 (lavender) for Texas. Dozens of additional smaller bubbles for numerous various variants & states. ALT-text by beadsland at Ko-fi.
💉💉💉💉💉
2 months ago

Fox News warns that Americans should put their masks on again, after uptick in Covid hospitalizations.

https://www.foxnews.com/media/msnbc-medical-contributor-tells-americans-start-wearing-masks-uptick-covid-hospitalizations

#FoxNews #WearAMask #COVIDisAirborne #CovidIsNotOver #BetterMasks #n95 #covid #covid19 @novid

Article preview.
"You do you" is Eu-gen-ics.
2 months ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

#ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Data: JHU before 2/28/23; WHO thereafter (via Our World in Data); NCHS (via CDC) for U.S. after 5/14/23 [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, through July 24, 2023. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 69.2%, on an upward trajectory, well exceeding share of pop. (~38%). This time last year, share of G8 covid deaths was 47.0%, climbing toward winter. Avg. U.S. share of G20 covid deaths now 34.6% (vs. ~7% of G20 population). This time last year: 23.6%. U.S. share of global parallels: now 28.2% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 22.3%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for G8/global trough due to data dump for China, March 2023.
Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS [ beadsland on Ko-fi ] Line chart shows (i) rolling annual excess deaths for all causes (with estimated deaths for recent weeks into June) and (ii) acute covid deaths into July. The former figure has been roughly between 175K and 200K from March to June. The latter has declined from about 150K to around 125K over the same period. Additional lines reflect: (i) share of excess deaths and (ii) percent elevated observed deaths over 2017-2019 average. The former spiked from about 10% in Feb to near 30% in May, only slightly down since. The latter fell to below 12% in February and has held there since. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. Incomplete preliminary data has this ratio approaching three in ten entering May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
"You do you" is Eu-gen-ics.
2 months ago

Hyperion XBB.1.9.1 & kin (FL & EG) over ⅓ non-Kraken XBB in GISAID—CDC has EG prominent New England & Mtn/Dakotas; Hyperion: Lower Midwest & NY/NJ.

Arcturus XBB.1.16 clan (incl FU) also > ⅓ non-Kraken XBB—CDC has prominent Middle South, Northwest & Great Lakes.

[See toot above for variants CDC map color key & links to sources for these charts.]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 7/28/2023 3:11:46 AM | Source (sequences): GISAID Bubble chart showing each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB (incl. parent, excl. XBB.1.5 clan). Top subvariants are XBB.1.16 (16.62%), EG.5.1 (10.09%), XBB.1.16.1 (6.82%), XBB.1.16.6 (5.04%). Bubbles are green (Arcturus XBB.1.16.*), pink (Hyperion .1.9.1*), red (Hyp-sib .1.9.2*), yellow (Arcturus .2.3.*), brown (.1.18.*), purple (.1.22.*), grey (other non-Kraken XBB). Bubbles large enough to show sample counts: green (XBB.1.16) for Cali (53); pink (EG.5.1) for Cali (49); green (XBB.1.16.1) for Cali (32); pink (EG.6.1) for Cali (25). Many dozens of variously smaller bubbles for these and other variants in various states. ALT-text by beadsland at Ko-fi.
Map: Nowcast Estimates for 7/9/2023 - 7/22/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 7/22/2023. Most regions show XBB.1.5 (indigo) still holding tenth to a sixth share of their respective pies, but for Mid-Atlantic (8.5%), Mtn/Dakotas (plurality 20.6%) & Middle South (plurality 22.4%). Purple (XBB.1.16) most prominent in Middle South (19.8%), Northwest (plurality 18.9%) & Great Lakes (plurality 17.7%). Peach (XBB.1.16.1) most prominent in Lower Midwest (14.5%) Ultramarine (XBB.1.9.1) most prominent in NY/NJ (plurality 17.1%) & Lower Midwest (plurality 19.0%). Orange (EG.5) in New England (18.9%) & Mtn/Dakotas (17.9%). Pink (XBB.2.3) most prominent in Mid-Atlantic (16.2%), Southwest (plurality 14.9%) & Northwest (14.2%). Asparagus (XBB.1.16) also 14.2% in Southwest ALT-text by beadsland at ko-fi.
"You do you" is Eu-gen-ics.
2 months ago

Twelfth week of post-Kraken soup, CDC announces new upsurge. Of over hundred Kraken variants, less than half remain detected in circulation.

Of non-Kraken XBB, Hyperion sib family EG and Hyperion family FL, together, neck-and-neck Arcturus XBB.1.16's plurality.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 7/28/23 3:11:46 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.5 (incl. parent). Top subvariants: XBB.1.5 (29.27%), XBB.1.5.10 (9.33%), XBB.1.5.72 (5.96%), XBB.1.5.28 (4.66%). All bubbles are orange, reflecting Kraken XBB.1.5 lineage (but for one small grey bubble for a cross-strain between XBB.1.5 and a B.1.1.529 strain). Bubbles large enough to show sample counts include: XBB.1.5 for California (25), Arizona (10), Florida (10); XBB.1.5.10 for California (10). Dozens of variously smaller bubbles in numerous colors/sizes represent these & other variants in various states. ALT-text by beadsland at Ko-fi.
CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 4/15/23 thru 6/24/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. XBB.1.5 (indigo) was dominant through May. Now, XBB.1.16 (purple), XBB.1.9.1 (ultramarine), XBB.2.3 (pink), EG.5 (orange), XBB.1.16.6 (asparagus), now eat into that position. XBB.1.5 estimated at 19.8% & 12.3% vs. 32.9% fortnight of 6/24, for average -32% weekly change in est. share. XBB.1.9.1 at 11.8% & 13.2% vs. 12.1%, for avg +14% in share. EG.5 at 7.7% & 11.4% vs. 4.8%, for avg +50% in share. XBB.1.16 at 15.8% & 14.8% vs. 12.8%, for avg +9% in share. XBB.1.16.1 at 8.8% & 8.8% vs. 7.5%, for avg +14% in share. XBB.1.16.6 at 5.4% & 9.3% vs. 2.3%, for avg +100% in share. XBB.2.3 at 11.9% & 13.0% vs. 10.1%, for avg +16% in share. ALT-text by beadsland on Ko-fi.
"You do you" is Eu-gen-ics.
2 months ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

#ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Data: JHU before 2/28/23; WHO thereafter (via Our World in Data); NCHS (via CDC) for U.S. after 5/14/23 [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, through July 17, 2023. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 63.0%, on an upward trajectory, well exceeding share of pop. (~38%). This time last year, share of G8 covid deaths was 49.3%, climbing toward winter. Avg. U.S. share of G20 covid deaths now 30.7% (vs. ~7% of G20 population). This time last year: 24.9%. U.S. share of global parallels: now 25.9% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 23.0%. All three metrics were near or below respective populations roughly May–Aug 2021; thereafter have been profoundly higher than population but for G8/global trough due to data dump for China March 2023.
Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS [ beadsland on Ko-fi ] Line chart shows (i) rolling annual excess deaths for all causes (with estimated deaths for recent weeks into June) and (ii) acute covid deaths into July. The former figure has been roughly between 175K and 200K from March to June. The latter has declined from about 150K to around 125K over the same period. Additional lines reflect: (i) share of excess deaths and (ii) percent elevated observed deaths over 2017-2019 average. The former spiked from about 10% in Feb to near 30% in May, only slightly down since. The latter fell to below 12% in February and has held there since. Caption (in relevant part): As of April 1, over one in four excess deaths in the U.S. were “not covid”. Incomplete preliminary data has this ratio approaching three in ten entering May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and inadequate availability of vital medical supplies.
"You do you" is Eu-gen-ics.
2 months ago

Hyperion XBB.1.9.1 & kin (FL & EG) over ⅓ non-Kraken XBB in GISAID—CDC has EG prominent New England & Mtn/Dakotas; Hyperion: Lower Midwest & NY/NJ.

Arcturus XBB.1.16 clan (incl FU) about ⅓ non-Kraken XBB—CDC has prominent Middle South, Northwest & Great Lakes.

[See toot above for variants CDC map color key & links to sources for these charts.]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Map: Nowcast Estimates for 7/9/2023 - 7/22/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 7/22/2023. Most regions show XBB.1.5 (indigo) still holding tenth to a sixth share of their respective pies, but for Mid-Atlantic (8.5%), Mtn/Dakotas (plurality 20.6%) & Middle South (plurality 22.4%). Purple (XBB.1.16) most prominent in Middle South (19.8%), Northwest (plurality 18.9%) & Great Lakes (plurality 17.7%). Peach (XBB.1.16.1) most prominent in Lower Midwest (14.5%) Ultramarine (XBB.1.9.1) most prominent in NY/NJ (plurality 17.1%) & Lower Midwest (plurality 19.0%). Orange (EG.5) in New England (18.9%) & Mtn/Dakotas (17.9%). Pink (XBB.2.3) most prominent in Mid-Atlantic (16.2%), Southwest (plurality 14.9%) & Northwest (14.2%). Asparagus (XBB.1.16) also 14.2% in Southwest ALT-text by beadsland at ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 7/21/2023 5:13:15 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB (incl. parent, excl. XBB.1.5 clan). Top subvariants are XBB.1.16 (17.09%), EG.5.1 (12.90%), XBB.1.16.6 (5.53%), XBB.1.9.1 (4.69%). Largest and most prominent circles are coral (XBB.1.16) for California (22), New York, Arizona, Washington, Georgia; grey (EG.5.1) for California (22) & New York (18); slate (XBB.1.16.6) for Florida & New York; brown (XBB.1.9.1), another grey (XBB.2.3.2), dark smoke (FL.1.5.1) and dusty blue (XBB.2.3) for New York. Many dozens of variously smaller bubbles for these and other variants in various states. ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
2 months ago

Eleventh week of post-Kraken soup, CDC breaks out dot72 variant. Of over hundred Kraken variants, less than half remain detected in circulation.

Of non-Kraken XBB, Hyperion sib family EG and Hyperion family FL, together, now exceed Arcturus XBB.1.16's plurality.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 4/15/23 thru 6/24/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. XBB.1.5 (indigo) was dominant through May. Now, XBB.1.16 (purple), XBB.1.9.1 (ultramarine), XBB.2.3 (pink), EG.5 (orange), XBB.1.16.6 (asparagus), now eat into that position. XBB.1.5 estimated at 19.8% & 12.3% vs. 32.9% fortnight of 6/24, for average -32% weekly change in est. share. XBB.1.9.1 at 11.8% & 13.2% vs. 12.1%, for avg +14% in share. EG.5 at 7.7% & 11.4% vs. 4.8%, for avg +50% in share. XBB.1.16 at 15.8% & 14.8% vs. 12.8%, for avg +9% in share. XBB.1.16.1 at 8.8% & 8.8% vs. 7.5%, for avg +14% in share. XBB.1.16.6 at 5.4% & 9.3% vs. 2.3%, for avg +100% in share. XBB.2.3 at 11.9% & 13.0% vs. 10.1%, for avg +16% in share. ALT-text by beadsland on Ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in…following US States: All - Specimen Collected in…last 21 days | Updated on 7/21/23 5:13:15 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show dozens of Pangolin subvariants of XBB.1.5 (incl. parent). Top subvariants: XBB.1.5 (34.77%), dot10 (8.20%), dot49 (5.47%), dot77 (5.47%). Largest, most prominent bubbles: slate (XBB.1.5) for Cali (13), NJ (12), Arizona (11), Florida (11), NY (9), Virginia (7), North Carolina, Illinois; cornflower (dot10) for NJ, NY, Florida; grey (dot49) for Arizona; teal (FD.1.1) for Florida; salmon (XBB.1.5.72) & another teal (GN.1) for NY; gold (XBB.1.5.77) for Cali; another slate (dot28) for Georgia. Dozens of variously smaller bubbles in numerous colors/sizes represent these & other variants in various states. ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
2 months ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

#ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Data: JHU before 2/28/23; WHO thereafter (via Our World in Data); NCHS (via CDC) for U.S. after 5/14/23 [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, through July 10, 2023. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 57.5%, on an upward trajectory, well exceeding share of pop. (~38%). This time last year, share of G8 covid deaths was 50.3%, climbing toward winter. Avg. U.S. share of G20 covid deaths now 26.8% (vs. ~7% of G20 population). This time last year: 25.7%. U.S. share of global parallels: now 23.5% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 23.0%. All three metrics were near or below respective populations roughly May through August of two years ago; thereafter have been profoundly higher than population share ever since.
Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS [ beadsland on Ko-fi ] Captions: Rolling Year shows deaths reported latest 365 days. As of May 11, CDC ended reporting of PHE aggregate covid deaths. CDC now provides provisional covid death counts from NCHS NVSS. This chart uses aggregate data through May 6, provisional data thereafter. --- As of April 1, over one in four excess deaths in the U.S. were “not covid”. Incomplete preliminary data has this ratio approaching three in ten entering May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and shortages of vital medical supplies.
"You do you" is Eu-gen-ics.
3 months ago

Arcturus XBB.1.16 clan (incl FU) over ⅓ of non-Kraken XBB in GISAID—CDC has near ⅓ of CDC specimens most regions.

Hyperion XBB.1.9.1 & kin (FL & EG) also >⅓ non-Kraken XBB, with CDC showing EG (orange) most prominent in Lower Midwest, Mtn/Dakotas & northeast.

[See toot above for variants CDC map color key & links to sources for these charts.]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 7/13/2023 3:55:02 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB (incl. parent, excl. XBB.1.5 clan). Top subvariants are XBB.1.16 (18.63%), EG.5.1 (7.13%), XBB.1.9.1 (6.26%), XBB.1.16.1 (5.97%), XBB.1.16.6 (4.22%). Largest and most prominent circles are coral (XBB.1.16) for New York (25), California (19), Texas & Florida; gold (XBB.1.16.1) for Florida; brown (XBB.1.9.1) and grey (EG.5.1) for New York and California; and blue (XBB.2.3) for California. Many dozens of variously smaller bubbles for these and other variants in various states. ALT-text by beadsland at Ko-fi.
Map: Nowcast Estimates for 6/25/2023 - 7/8/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 7/8/2023. Most regions show XBB.1.5 (dark blue) taking eighth to fifth share of their respective pie. Purple (XBB.1.16) most prominent in Northwest (23.7%), around 15%-20% most other regions; only not Lower Midwest (10.0%), Mountain/Dakotas (14.1%) and New England (10.7%). Those last regions are where orange (EG.5) most prominent: Lower Midwest (24.3%), Mountain/Dakotas (21.2%), New England (16.4%), also New York/New Jersey (15.5%), Southwest (14.1%). Pink (XBB.2.3) has large shares in Northwest (21.5%), Mountain/Dakotas (20.1%), Southeast (16.4%); around 11%-14% other regions, but Lower Midwest (8.9%). Peach (XBB.1.16.1): 14.7% in New England; 9%-12% most other regions. Royal blue (XBB.1.9.1): 13.8% of Lower Midwest pie. ALT-text by beadsland at ko-fi.
"You do you" is Eu-gen-ics.
3 months ago

Tenth week of post-Kraken soup, two thirds of all GISAID Kraken sequences are some of 100+ still proliferating variants, with no apparent heir.

Of non-Kraken XBB, Hyperion sib family EG and Hyperion family FL, together, remain near Arcturus XBB.1.16's plurality.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 7/13/23 3:55:02 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB.1.5 (including parent). Top subvariants are XBB.1.5 (34.66%), XBB.1.5.10 (6.08%), XBB.1.5.72 (4.50%), XBB.1.5.49 (3.70%). Largest and more prominent bubbles are blue (XBB.1.5) for Texas (31), Florida (21), New York (19), New Jersey (11), California (11), Arizona (10), Washington and a North state; grey (XBB.1.5.49) for Arizona; and cyan (FD.1.1) for New York. Many dozens of variously smaller bubbles in numerous colors and sizes represent these and other variants in various states. ALT-text by beadsland at Ko-fi.
CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 4/1/23 thru 6/10/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. XBB.1.5 (dark blue) was dominant through May. Thereafter, XBB.1.16 (purple), XBB.2.3 (pink), EG.5 (orange) and XBB.1.16.1 (peach), now eat into that position. XBB.1.5 estimated at 26.3% and 16.1% vs. 40.0% fortnight of 6/10, for average -31% weekly change in estimated share. XBB.1.9.1 at 10.8% & 9.4% vs. 9.4%, for avg +1% in share. EG.5 at 6.6% & 13.0% vs. 3.7%, for avg +148% in share. XBB.1.16 at 16.3% & 17.5% vs. 11.8%, for avg +22% in share. XBB.1.16.1 at 9.1% & 10.4% vs. 6.2%, for avg +28% in share. XBB.1.16.6 at 2.3% & 4.1% vs. 1.3%, for avg +105% in share. XBB.2.3 at 11.1% & 13.4% vs. 8.5%, for avg +33% in share. ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
3 months ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

#ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Data: JHU before 2/28/23; WHO thereafter (via Our World in Data); NCHS (via CDC) for U.S. after 5/14/23 [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, through July 3, 2023. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 58.3%, on an upward trajectory, well exceeding share of pop. (~38%). This time last year, share of G8 covid deaths was 51.1%, climbing toward winter. Avg. U.S. share of G20 covid deaths now 27.5% (vs. ~7% of G20 population). This time last year: 26.7%. U.S. share of global parallels: now 25.3% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 23.7%. All three metrics were near or below respective populations roughly May through August of two years ago; thereafter have been profoundly higher than population share ever since.
Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS [ beadsland on Ko-fi ] Captions: Rolling Year shows deaths reported latest 365 days. As of May 11, CDC ended reporting of PHE aggregate covid deaths. CDC now provides provisional covid death counts from NCHS NVSS. This chart uses aggregate data through May 6, provisional data thereafter. --- As of April 1, over one in four excess deaths in the U.S. were “not covid”. Incomplete preliminary data has this ratio approaching three in ten entering May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of…Long Covid, post-acute organ damage or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and shortages of vital medical supplies.
"You do you" is Eu-gen-ics.
3 months ago

Arcturus XBB.1.16 clan (incl FU) over ⅓ of non-Kraken XBB in GISAID—CDC has near ⅓ of CDC specimens most regions.

Hyperion XBB.1.9.1 & kin (FL & EG) also >⅓ non-Kraken XBB, with CDC showing EG (orange) most prominent in Lower Midwest, Mtn/Dakotas & northeast.

[See toot above for variants CDC map color key & links to sources for these charts.]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Map: Nowcast Estimates for 6/25/2023 - 7/8/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 7/8/2023. Most regions show XBB.1.5 (dark blue) taking eighth to fifth share of their respective pie. Purple (XBB.1.16) most prominent in Northwest (23.7%), around 15%-20% most other regions; only not Lower Midwest (10.0%), Mountain/Dakotas (14.1%) and New England (10.7%). Those last regions are where orange (EG.5) most prominent: Lower Midwest (24.3%), Mountain/Dakotas (21.2%), New England (16.4%), also New York/New Jersey (15.5%), Southwest (14.1%). Pink (XBB.2.3) has large shares in Northwest (21.5%), Mountain/Dakotas (20.1%), Southeast (16.4%); around 11%-14% other regions, but Lower Midwest (8.9%). Peach (XBB.1.16.1): 14.7% in New England; 9%-12% most other regions. Royal blue (XBB.1.9.1): 13.8% of Lower Midwest pie. ALT-text by beadsland at ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 7/4/2023 6:53:03 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB (incl. parent, excl. XBB.1.5 clan). Top subvariants are XBB.1.16 (17.70%), EG.5.1 (8.91%), XBB.1.9.1 (6.98%), XBB.1.16.1 (5.94%), FU.1 (3.62%). Largest and most prominent circles are coral (XBB.1.16) for New York (29), Texas (27), California (20) and New Jersey; grey (EG.5.1) and brown (XBB.1.9.1) for New York & California; Many dozens of variously smaller bubbles for these and other variants in various states. ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
3 months ago

Ninth week of post-Kraken soup, CDC breaks out Hyperion nib EG.5, Arcturus kid XBB.1.16.6, Kraken kid XBB.1.5.59. Also, reverse alphabetical legend?

Latest dashboard for 100+ Kraken variants shows no heir. Hyperion kin EG & FL near Arcturus XBB.1.16's plurality.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 4/1/23 thru 6/10/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. XBB.1.5 (dark blue) was dominant through May. Thereafter, XBB.1.16 (purple), XBB.2.3 (pink), EG.5 (orange) and XBB.1.16.1 (peach), now eat into that position. XBB.1.5 estimated at 26.3% and 16.1% vs. 40.0% fortnight of 6/10, for average -31% weekly change in estimated share. XBB.1.9.1 at 10.8% & 9.4% vs. 9.4%, for avg +1% in share. EG.5 at 6.6% & 13.0% vs. 3.7%, for avg +148% in share. XBB.1.16 at 16.3% & 17.5% vs. 11.8%, for avg +22% in share. XBB.1.16.1 at 9.1% & 10.4% vs. 6.2%, for avg +28% in share. XBB.1.16.6 at 2.3% & 4.1% vs. 1.3%, for avg +105% in share. XBB.2.3 at 11.1% & 13.4% vs. 8.5%, for avg +33% in share. ALT-text by beadsland at Ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 7/4/23 6:53:03 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB.1.5 (including parent). Top subvariants are XBB.1.5 (44.98%), XBB.1.5.49 (5.20%), XBB.1.5.72 (3.23%), XBB.1.5.77 (2.87%). Largest and more prominent bubbles are blue (XBB.1.5) for Texas (72), California (41), New York (40), Hawaii (28), New Jersey, Arizona, Washington & Virginia; grey (XBB.1.5.49) for Texas; and orange (GR.1) for New York. Many dozens of variously smaller bubbles in numerous colors and sizes represent these and other variants in various states. ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
3 months ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

#ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Data: JHU before 2/28/23; WHO thereafter (via Our World in Data); NCHS (via CDC) for U.S. after 5/14/23 [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality, through June 27, 2023. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 54.4%, on an upward trajectory, well exceeding share of pop. (~38%). This time last year, share of G8 covid deaths was 50.1%, climbing toward winter. Avg. U.S. share of G20 covid deaths now 25.3% (vs. ~7% of G20 population). This time last year: 26.4%. U.S. share of global parallels: now 23.7% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 23.7%. All three metrics were near or below respective populations roughly May through August of two years ago; thereafter have been profoundly higher than population share ever since.
Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS [ beadsland on Ko-fi ] Captions: Rolling Year shows deaths reported latest 365 days. As of May 11, CDC ended reporting of PHE aggregate covid deaths. CDC now provides provisional covid death counts from NCHS NVSS. This chart uses aggregate data through May 6, provisional data thereafter. --- As of April 1, over one in four excess deaths in the U.S. were “not covid”. Incomplete preliminary data has this ratio approaching three in ten entering May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid, post-acute organ damage not specifically identified as Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and shortages of vital medical supplies.
"You do you" is Eu-gen-ics.
3 months ago

Arcturus XBB.1.16 clan (incl FU) near ⅓ of non-Kraken XBB in GISAID—CDC has as ⅒ to ¼ of CDC specimens all regions.

Hyperion XBB.1.9.1/FL & sib XBB.1.9.2/EG each another ⅕ of non-Kraken XBB—with latter prominent in Mnt/Dakotas. Acrux XBB.2.3 prominent in PNW.

[See toot above for variants CDC map color key & links to sources for these charts.]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 6/30/2023 3:41:09 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB (incl. parent, excl. XBB.1.5 clan). Top subvariants are XBB.1.16 (15.29%), XBB.1.9.1 (7.73%), EG.5.1 (7.56%), EG.1 (4.75%), XBB.1.16.1 (4.57%). Largest and most prominent circles are coral (XBB.1.16) for New York (32), California (16) and New Jersey; pink (EG.1) for Cali; lavender (FU.1), brown (XBB.1.9.1) and grey (EG.5.1) for NY & Cali; another lavender (EG.5.2) and periwinkle (XBB.1.16.2) for NY. Dozens of variously smaller bubbles for these and other variants in various states. ALT-text by beadsland at Ko-fi.
Map: Nowcast Estimates for 6/11/2023 - 6/24/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 6/24/2023. (Note this was released 6/23/2023.) Most regions show XBB.1.5 (dark blue) taking quarter to third share of their respective pie. Purple (XBB.1.16) between 10% and 25% of pie in all regions. Royal blue (XBB.1.9.1) at 16.7% of pie for Lower Midwest, between 9.8% and 13.2% all other regions. Blueberry (XBB.1.9.2) at 20.4% of pie for Mountain/Dakotas, 16.7% for New England, 15.2% for Southwest, 14.0% for New York/New Jersey, between 8% and 10% all other regions but Lower Midwest (5.3%). Pink (XBB.2.3) at 16.8% of pie for Northwest, 13.3% for Mtn/Dakotas, below 11% to 12% other regions, except Southwest (10.5%), Lower Midwest (9.5%), Middle South (8.0%), and Southwest (7.7%). ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
3 months ago

Eighth week of post-Kraken soup. Unmitigated XBB.1.5 has birthed over 100 variants—latest dashboard for Kraken clan shows no major contender.

Arcturus XBB.1.16 dominant non-Kraken strain, followed Hyperion sib 1.9.2 (near all EG) and Hyperion 1.9.1 (mostly FL).

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 6/30/2023 3:41:09 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB.1.5 (including parent). Top subvariants are XBB.1.5 (42.77%), XBB.1.5.49 (6.49%), XBB.1.5.72 (3.83%), XBB.1.5.10 (2.65%). Largest and more prominent bubbles are blue (XBB.1.5) for New York (39), Texas (22), California (19), Florida (11), Arizona & Virginia; green (GB.1) for New York; orange (XBB.1.5.13) for a North state; another orange (GR.1) for New York; light brown (XBB.1.5.37) for New York; and grey (XBB.1.5.49) for Texas. Dozens of smaller bubbles in numerous colors and sizes represent these and other variants in various states. ALT-text by beadsland at Ko-fi.
CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 3/18/23 thru 5/27/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. XBB.1.5 (dark blue) was dominant through May. Thereafter, XBB.1.16 (purple), XBB.1.9.2 (cornflower), XBB.1.9.1 (royal blue), XBB.2.3 (pink) and XBB.1.16.1 (peach) now eat into that position. XBB.1.5 estimated at 40.3% and 27.0% vs. 51.7% fortnight of 5/27, for average -25% weekly change in estimated share. XBB.1.9.1 at 11.3% & 11.4% vs. 8.9%, for avg +11% in share. XBB.1.9.2 at 8.8% & 13.0% vs. 5.1%, for avg +50% in share. XBB.1.16 at 15.4% & 19.9% vs. 10.7%, for avg +43% in share. XBB.1.16.1 at 6.9% & 9.5% vs. 4.7%, for avg +60% in share. XBB.2.3 at 7.9% & 10.6% vs. 5.8%, for avg +62% in share. ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
4 months ago

Per WHO, every twelve minutes four people die of acute covid. Three of those deaths are in the United States.

Entering April, for every three covid deaths, U.S. saw another excess death not attributed to covid.

The emergency is over. Covid is not done with us.

#ThisIsOurPolio #LongCovidKills #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Data: JHU before 2/28/23; WHO thereafter (via Our World in Data); NCHS (via CDC) for U.S. after 5/14/23 [ beadsland on Ko-fi ] Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 58.1%, on an upward trajectory, well exceeding share of pop. (~38%). This time last year, share of G8 covid deaths was 39.6%, climbing toward winter. Avg. U.S. share of G20 covid deaths flatter: now 29.7% (vs. ~7% of G20 population). This time last year: 20.7%. U.S. share of global parallels: now 31.5% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 21.1%. All three metrics were near or below respective populations roughly May through August of two years ago; thereafter have been profoundly higher than population share ever since.
Chart: Rolling Year Pandemic Mortality: United States Data: CDC, NCHS [ beadsland on Ko-fi ] Captions: Rolling Year shows deaths reported latest 365 days. As of May 11, CDC ended reporting of PHE aggregate covid deaths. CDC now provides provisional covid death counts from NCHS NVSS. This chart uses aggregate data through May 6, provisional data thereafter. --- As of April 1, over one in four excess deaths in the U.S. were “not covid”. Incomplete preliminary data has this ratio approaching three in ten entering May. That includes: covid deaths not reported as such or for which no covid test was administered; deaths from post-acute sequelae of prior covid infection (whether consequences of symptomatic Long Covid or otherwise asymptomatic, heightened risk for sudden adverse health outcomes); and deaths from causes that would otherwise had not been fatal but for deferred medical care, continued strain on understaffed hospitals, and shortages of vital medical supplies.
"You do you" is Eu-gen-ics.
4 months ago

Arcturus XBB.1.16* (incl. FU*) ¼ to ⅓ of CDC specimens all regions; but Mtn/Dakotas & Lower Midwest; over ⅓ of non-Kraken XBB in GISAID.

Hyperion XBB.1.9.1 (incl FL*) up in Lower Midwest (+11%), New Eng (+6%), Mtn/Dakotas (4%). Down 3-5 pts most other regions.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Map: Nowcast Estimates for 5/28/2023 - 6/10/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 6/10/2023. (Note this was released 6/9/2023.) Most regions show XBB.1.5 (dark blue) taking third to half share of their respective pie. Purple (XBB.1.16) between 17% and 23% of pie in all regions but for New England (11.9%), Mountain/Dakotas (10.2%) and Lower Midwest (8.5%). Royal blue (XBB.1.9.1) at 17.4% of pie for Lower Midwest, between 10% and 15% all other regions. Peach (XBB.1.16.1) between 8% and 13% all regions but Mountain/Dakotas (3.3%), where it is crowded out by cornflower (XBB.1.9.2) at 16.6% (below 10% all other regions). ALT-text by beadsland at Ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 6/9/2023 3:37:06 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB (incl. parent, excl. XBB.1.5 clan). Top subvariants are XBB.1.16 (20.83%), XBB.1.9.1 (9.38%), XBB.1.16.1 (8.54%) and XBB.1.9.2 (5.00%). Largest and most prominent circles are coral (XBB.1.16) for New York (23), California (22), Texas (18), and Illinois; gold (XBB.1.16.1) for California (15), brown (XBB.1.9.1) for New York and California; peach (XBB.1.9.2) for Washington; pink (EG.1) for Texas; and cool green (XBB.1.16.4) for California. Dozens of variously smaller bubbles for these and other variants in various states. ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
4 months ago

Fifth week of post-Kraken soup, CDC breaks out XBB.1.5.10. Unmitigated XBB.1.5 has birthed over 80 pango variants.

Latest variant dashboard for Kraken clan still pops with
Utah EU.1.1.1 (XBB.1.5.26 clan)—not broken out by CDC.

Arcturus, Hyperion, Acrux growing.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 3/4/23 thru 5/13/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. XBB.1.5 (dark blue) displaced BQ.1.1 before Feb. Thereafter, XBB.1.16 (purple), XBB.1.9.1 (royal blue), XBB.1.16.1 (peach), XBB.1.9.2 (cornflower), and XBB.2.3 (pink) now eat into that position. XBB.1.5 estimated at 54.4% and 39.9% vs. 66.0% fortnight of 5/13, for average -19% weekly change in estimated share. XBB.1.9.1 at 10.9% & 12.5% vs. 8.5%, for avg +31% growth in share. XBB.1.9.2 at 6.1% & 8.4% vs. 3.9%, for avg +48% growth in share. XBB.1.16 at 12.0% & 18.2% vs. 6.6%, for avg +66% growth in share. XBB.1.16.1 at 5.3% & 8.4% vs. 2.3%, for avg +84% growth in share. XBB.2.3 at 4.5% & 6.0% vs. 2.7%, for avg +47% growth in share. ALT-text by beadsland at Ko-fi.
Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 6/9/2023 3:37:06 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB.1.5 (including parent). Top subvariants are XBB.1.5 (53.66%), EU.1.1.1 (5.75%), XBB.1.5.49 (4.18%), XBB.1.5.1 (3.31%). Largest and more prominent bubbles are dark blue (XBB.1.5) for Texas (80), California (51), New York (38), Arizona (32), Illinois (27), Virginia (19), Utah, Washington & New Jersey; pink (EU.1.1.1) for Utah (33); yellow (XBB.1.5.17) for Texas (17); grey (XBB.1.5.49) for California; and lavender (XBB.1.5.1) for Texas. Many dozen smaller bubbles in numerous colors and sizes represent these and other variants in various states. ALT-text by beadsland at Ko-fi.
"You do you" is Eu-gen-ics.
4 months ago

Arcturus XBB.1.16 (incl. FU.*) clan third of non-Kraken XBB sequences in GISAID; one in five CDC specimens most regions.

Hyperion XBB.1.9.1 (incl FL.*) quarter of sequences. CDC shows most prominent in Middle South.

Unnamed XBB.1.9.2 (incl EG.*) near two fifths.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 6/2/2023 5:13:36 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB (incl. parent, excl. XBB.1.5 family). Top subvariants are XBB.1.16 (19.76%), XBB.1.9.1 (12.20%), XBB.1.16.1 (8.78%), FL.4 (5.41%), and XBB.1.9.2 (5.12%). Largest circles are coral (XBB.1.16) for New York (20), California (12), New Jersey (11), Virginia (10), Utah and Hawaii; gold (XBB.1.16.1) for Hawaii (12), Cali & NY; brown (XBB.1.9.1) for Cali (11), NY (10), Hawaii, Washington & NJ; pink (FL.4) for Utah & NY; peach (XBB.1.9.2) for NY; and various other colors for variants across various states. Dozens of variously smaller bubbles for these and other variants in various states.
Map: Nowcast Estimates for 5/14/2023 - 5/27/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected two weeks ending 5/27/2023. (Note this was released 5/26/2023.) Most regions show XBB.1.5 (dark blue) taking majority share of their respective pie, except Northwest (46.0%), NY/NJ (49.5%) and Mid-Atlantic (50.0%). Purple (XBB.1.16) between 15% and 20% of pie in all regions but for Southwest (13.9%), Mountain/Dakotas (9.3%), Lower Midwest (6.3%) and New England (8.3%). Light blue (XBB.1.9.1) near a two fifths pie for Lower Midwest, between 10% and 14% all other regions, except Great Lakes (9.3%).
"You do you" is Eu-gen-ics.
4 months ago

Fourth week of post-Kraken soup, unmitigated XBB.1.5 spread has lead to over 80 pango variants.

Latest dashboard for Kraken clan has XBB.1.5.26 lineage (EU.*) standing out in Utah.

Near three in four of 21-day GISAID sequences not descended from Kraken at all.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: SARSCoV2 Variant Dashboard - USA | 21-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 21 days | Updated on 6/2/2023 5:13:36 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show many dozen Pangolin subvariants of XBB.1.5 (including parent). Top subvariants are XBB.1.5 (55.84%), EU.1.1.1 (6.53%), XBB.1.5.49 (3.76%), EU.1.1 (3.37%). Largest and more prominent bubbles are dark blue (XBB.1.5) for New York (67), Utah (35), California (32), Virginia (27), Arizona (22), Hawaii (20), New Jersey (20), Iowa, Washington and Georgia; pink (EU.1.1.1) and coral (EU.1.1) for Utah (33); and mint green (XBB.1.5.68) for an unidentified state. Many dozen smaller bubbles in numerous colors and sizes represent these and other variants in various states.
CDC's Variant Nowcast showing weighted estimated distribution of variants over fortnights ending 2/18/23 thru 4/29/23, with model-projected estimates for following two fortnights. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. XBB.1.5 (dark blue) displaced BQ.1.1 before Feb. Thereafter, XBB.1.16 (purple), FD.2 (blue-violet), XBB.1.9.1 (light blue), XBB.1.5.1 (midnight) & XBB.2.3 (pink) & XBB.1.16.1 (peach) now eat into that position. XBB.1.5 est. at 67.7% & 53.8% vs. 75.7% fortnight of 4/29, for avg -12% weekly change in est. share. XBB.1.5.1 est. at 2.3%, 2.2% vs. 1.9%, for avg. 2% growth in share. FD.2 at 1.7%, 1.5%, vs 1.4%, for avg -1% change. XBB.1.9.1 at 9.0%, 11.8% vs 5.8%, for avg +40% growth. XBB.1.9.2 at 4.3%, 6.1% vs 2.7%, for avg +53%. XBB.1.16 at 8.2%, 15.1% vs 4.0%, for avg +90%. XBB.1.16.1 at 2.3%, 3.9% vs 1.3%, for avg +64%. XBB.2.3 at 3.1%, 4.8% vs 2.0%, for avg +70%.
"You do you" is Eu-gen-ics.
5 months ago

U.S. avg share of G8 covid deaths corrects to 56.0% (-1⅕)—near half again above U.S. share of G8 pop.

Share of G20 deaths also down, to 32.1% (-⅘), near 4⅗× U.S. share of G20 pop.

Global deaths share now at 31.1% (-⅗)—placing over 7¼× share of global pop.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #DeathCult #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Source: JHU before 2/28/23; WHO thereafter (retr. via Our World in Data) Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 56.0%, well exceeding share of pop. (~38%). This time last year, share of G8 covid deaths was 31.3%, on a steep slope downward. Avg. U.S. share of G20 covid deaths: similar climb, now 32.1% (vs. ~7% of G20 population). This time last year: 15.2%. U.S. share of global parallels: now 30.9% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 15.1%. All three metrics were near or below respective populations roughly May through August of two years ago; thereafter have been profoundly higher than population share ever since, includes several weeks ~12%, Jan-Feb '23, when China was briefly reporting post-ZeroCovid deaths.
"You do you" is Eu-gen-ics.
5 months ago

For year through mid-Apr, one in four excess deaths attributed to causes other than covid—near 50,000 "not covid" deaths.

Saw 5 weeks without excess deaths Mar-Apr '22. Preliminary data has 4 weeks of no excess deaths this year.

We shall see if pattern holds.

[Note: CDC has yet to publish covid death count for this week.]

#ThisIsOurPolio #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Sources: Centers for Disease Control. Rolling Year shows deaths reported latest 365 days. Line chart showing rolling annual tally of reported acute covid deaths and rolling annual tally of estimated excess deaths for all causes. The former figure peaked above 550,000 in March of 2021, again above 500,000 last October, dropped sharply toward 450,000 early January, sloped down more slowly through June, before bumping up slightly in July, now trending downward, shallowing out below 150,000 after mid-March. For the same time period, excess deaths initially paralleled (though trending above) covid deaths, peaked over 630,000 and then again near 590,000, fell to above 500,000 in Jan '22, first falling below 500,000 in mid-August, trending downward below 200,000 mark mid-February, with incomplete data suggesting a leveling off thereafter. Secondary Y axis tracks percent share of excess deaths not attributed to covid.
"You do you" is Eu-gen-ics.
6 months ago

Northeast Kraken week fifteen, as XBB.1.5 recedes nationwide.

⟰ Acturus XBB.1.16:

Middle South—21.3% (+~10)
NW—12.3% (+~6)
SW—9.8% (+~5)
NY/NJ—9.3% (+~4)
L. Midwest—9.0% (+~4)

⇑ Hyperion XBB.1.9.1:

L. Midwest—22.4% (+4)
Mtn/Dakts—12.4% (+4.8)
NY/NJ—6.0% (+~1)

[See toot above for variants CDC map color key and links to sources for these two charts.]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Map: Nowcast Estimates for 4/9/2023 - 4/15/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected the week ending 4/15/2023. (Note this was released 4/14/2023.) All regions show XBB.1.5 (purple) taking majority share of their respective pie. Pies for most regions are about three-quarters or more purple, with smaller slivers of other colors, excepting Lower-Midwest, which is now about two-thirds purple, and regions east of Mississippi at or near seven-eighths. Blue (XBB.1.9.1) near a quarter of pie for Lower Midwest, an eighth of pie for Mountain/Dakotas regions, dark blue (XBB.1.16) near a quarter of pie for Middle South, an eighth of pie of Northwest, near a tenth of Southwest, NY/NJ, and Mid-Atlantic regions.
Chart: SARSCoV2 Variant Dashboard - USA | 15-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 15 days | Updated on 4/14/2023 2:07:57 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show a dozen Pangolin subvariants of XBB (incl. parent, excl. XBB.1.5 family). Top subvariants are XBB.1.16 (35.71%), XBB.1.9.1 (33.12%), XBB.2.3 (13.6%). Largest circles are hot-pink (XBB.1.16) for New Jersey (17), California (15), Virginia (6), Washington (5), New York and New Jersey; brown (XBB.1.9.1) for New York (14), California (9), Utah (7), Washington (6), Virginia (5), and New Jersey; blue (XBB.2.3) for New Jersey (6), California, Virginia, and Washington; light pink (EG.1) for California; and peach (XBB.1.9.2) for Virginia, California, and New Jersey. Smaller bubbles for these and other variants in various states.
"You do you" is Eu-gen-ics.
6 months ago

Twelve week national Kraken wave fitfully recedes, as CDC breaks out Kraken-dot15's kid: FD.2.

CDC also finally lists Arcturus XBB.1.16 along with Hyperion-sibling XBB.1.9.2 (incl. EG.1)—both previously masked as vanilla XBB; both growing faster than Kraken fam.

[Srcs: https://covid.cdc.gov/covid-data-tracker/#variant-proportions

https://public.tableau.com/app/profile/raj.rajnarayanan/viz/USAVariantDB/VariantDashboard]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

CDC's Variant Nowcast showing weighted estimated distribution of variants over weeks ending 1/14/23 thru 3/25/23, with model-projected estimates for following three weeks. Proportional stacked bar chart, where each color represents a different variant, inclusive of those descendants not otherwise broken out. BQ.1.1, together with BQ.1, dominant through mid-Jan, until rise of XBB.1.5 (purple). Thereafter, XBB.1.16 (purple), FD.2 (blue-violet), XBB.1.9.1 (blue) & XBB.1.5.1 (dark blue) eat into that lead. XBB.1.5 estimated at 85.2%, 82.6% and 78.0%, versus 82.9% the week of 3/25, for an average -29% weekly change in estimated share. XBB.1.5.1 estimated at 2.1%, 2.3%, 2.4%, versus 2.1%, for an average 13% growth in share. FD.2 est. at 1.6%, 1.7%, 1.7%, versus 0.9%, for an avg 13% growth. XBB.1.9.1 est. at 3.9%, 5.1%, 6.5%, vs. 3.1%, for avg 30% growth. XBB.1.9.2 est. at 1.3%, 1.8%, 2.5%, vs. 1.2%, for avg 46% growth. XBB.1.16 est. at 2.1%, 3.9%, 7.2%, vs. 1.2%, for avg 74% growth.
Chart: SARSCoV2 Variant Dashboard - USA | 15-DAY TRENDS Source: NYITCOM Research Report Caption (in part): Circulating Variants in the following US States :All - Specimen Collected in the last 15 days | Updated on 4/14/2023 2:07:57 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to show near two dozen Pangolin subvariants of XBB.1.5 (excluding parent). Top subvariants are XBB.1.5.15 (29.57%), XBB.1.5.13 (9.68%), XBB.1.5.1 (6.45%). Largest bubbles are light blue (XBB.1.5.15) for California (22), New York (7), Oregon (7), New Jersey, North Carolina, Utah, Washington, and California; violet (XBB.1.5.5) for Washington (9); green (XBB.1.5.21) for Washington (5); dark blue (XBB.1.5.4) for New York and Nebraska; orange (XBB.1.5.13) for New York and California. Smaller bubbles in numerous colors represents these and other variants in various states, incl. XBB.1.5.18, XBB.1.5.17, XBB.1.5.3, XBB.1.5.2, etc.
"You do you" is Eu-gen-ics.
6 months ago

U.S. avg. share of G8 covid deaths down, yet remains high, at 45.2% (-3.7)—one-fifth again above U.S. share of G8 pop.

Share of G20 deaths also down: 29.0% (-2.9): over 4.1× share of G20 pop.

Global deaths unchanged: 38.5% (-3): over 6.7× share of global pop.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #DeathCult #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Source: JHU before 2/28/23; WHO thereafter (retr. via Our World in Data) Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 45.2%, still well exceeds share of pop. (~38%). This time last year, share of G8 covid deaths was 40.0%, on a steep slope downward. Avg. U.S. share of G20 covid deaths: similar decline, now 29.0% (vs. ~7% of G20 population). This time last year: 18.8%. U.S. share of global parallels: now 28.5% (vs. ~4% of pop.). This time last year, U.S. share of global covid deaths was 16.9%. All three metrics were near or below respective populations roughly May through August of two years ago; thereafter have been profoundly higher than population share ever since, includes several weeks ~12%, Jan-Feb '23, when China was briefly reporting post-ZeroCovid deaths.
"You do you" is Eu-gen-ics.
6 months ago

Based on preliminary data, annualized excess deaths appear to be leveling out, even as annualized acute covid deaths continue shallow decline.

One in five excess deaths attributed to causes other than covid.

There is nothing endemic about ongoing excess deaths.

[Note: CDC dataset does not yet tally deaths for week of 4/12.]

#ThisIsOurPolio #LongCovid #Covid #Covid19 #SARS2 #DeathCult #LifeExpectancy #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Sources: Centers for Disease Control. Rolling Year shows deaths reported latest 365 days. Line chart showing rolling annual tally of reported acute covid deaths and rolling annual tally of estimated excess deaths for all causes. The former figure peaked above 550,000 in March of 2021, again above 500,000 last October, dropped sharply toward 450,000 early January, sloped down more slowly through June, before bumping up slightly in July, now trending downward, shallowing out below 150,000 after mid-March. For the same time period, excess deaths initially paralleled (though trending above) covid deaths, peaked over 630,000 and then again near 590,000, fell to above 500,000 in Jan '22, first falling below 500,000 in mid-August, trending downward below 300,000 mark mid-January with incomplete data suggesting further decline below 200,000 past mid-January. Secondary Y axis tracks percent share of excess deaths not attributed to covid.
"You do you" is Eu-gen-ics.
6 months ago

CDC covid death forecasts have ended. Annualized deaths on shallow decline.

With new CDC model, year to mid-March saw one in five excess deaths by causes other than acute covid.

Post-acute sequelae deaths & those once preventable but for understaffed hospitals.

[Will continue updating this for however long data still avail.]

#ThisIsOurPolio #LongCovid #Covid #Covid19 #SARS2 #DeathCult #CovidIsNotOver #LifeExpectancy #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Sources: Centers for Disease Control. Rolling Year shows deaths reported latest 365 days. Line chart showing rolling annual tally of reported acute covid deaths and rolling annual tally of estimated excess deaths for all causes. The former figure peaked above 550,000 in March of 2021, again above 500,000 last October, dropped sharply toward 450,000 early January, sloped down more slowly through June, before bumping up slightly in July, now trending downward, shallowing out below 150,000 after mid-March. For the same time period, excess deaths initially paralleled (though trending above) covid deaths, peaked over 630,000 and then again near 590,000, fell to above 500,000 in Jan '22, first falling below 500,000 in mid-August, trending downward, below 300,000 mark mid-January, with incomplete data suggesting further decline below 200,000 by February end.
"You do you" is Eu-gen-ics.
6 months ago

U.S. avg. share of G8 covid deaths down slightly to 48.6% (-1⅕)—near one-third again above U.S. share of G8 pop.

Share of G20 deaths also down: 31.2% (-1⅒)—still over 4⅖× share of G20 pop.

Global deaths on parallel: 31.3% (-1⅖)—near 7⅖× share of global pop.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CovidIsNotOver #DeathCult #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Source: JHU before 2/28/23; WHO thereafter (retr. via Our World in Data) Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality. Share of population for each comparison is provided for reference. 7-day avg of U.S. share of G8 covid deaths at 48.6%, still well exceeds share of pop. (38%). This time last year, share of G8 covid deaths was 47.2%, on a steep slope downward. Avg. U.S. share of G20 covid deaths: similar upward slope, now 31.2% (vs. 7% of G20 population). This time last year: 23.0%. U.S. share of global parallels: now 31.3% (vs. 4% of pop.). This time last year, U.S. share of global covid deaths was 19.7%. All three metrics were near or below respective populations roughly May through August of two years ago; thereafter have been profoundly higher than population share ever since, includes several weeks ~12%, Jan-Feb '23, when China was briefly reporting post-ZeroCovid deaths.
"You do you" is Eu-gen-ics.
6 months ago

CDC covid death forecasts have ended. Annualized deaths on shallow decline.

With new CDC algorithm, year thru Feb saw one in six excess deaths from causes other than acute covid.

Both post-acute sequelae deaths & once preventable but for understaffed hospitals.

[March seems to be data byebye month.]

#ThisIsOurPolio #LongCovid #Covid #Covid19 #SARS2 #CovidIsNotOver #DeathCult #LifeExpectancy #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Sources: Centers for Disease Control. Rolling Year shows deaths reported latest 365 days. Line chart showing rolling annual tally of reported acute covid deaths and rolling annual tally of estimated excess deaths for all causes. The former figure peaked above 550,000 in March of 2021, again above 500,000 last October, dropped sharply toward 450,000 early January, sloped down more slowly through June, before bumping up slightly in July, now trending downward, shallowing out below 150,000 after mid-March. For the same time period, excess deaths initially paralleled (though trending above) covid deaths, peaked over 630,000 and then again near 590,000, fell to above 500,000 in Jan '22, first falling below 500,000 in mid-August, trending downward, past 300,000 mark mid-January, with incomplete data suggesting further decline below 200,000 through February.
"You do you" is Eu-gen-ics.
7 months ago

Five weeks into national Kraken XBB.1.5 wave, all regions are majority Kraken. XBB.1.5.3 (not shown) is leading subvariant: ~2% of XBB.1.5 samples.

Even Orthus CH.1.1—added to chart four weeks ago—falling from plateau.

Cerebrus BQ.1.1 still one in ten samples.

[Src: https://covid.cdc.gov/covid-data-tracker/#variant-proportions]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

CDC's Variant Nowcast showing weighted estimated distribution of variants over weeks ending 11/26/22 through 2/4/23, with model-projected estimates for following three weeks. Proportional stacked bar chart, where each color represents a different variant, incl. those descendants not otherwise broken out. Omicron-5 (BA.5), dominant through October, now reduced to about ⅒% of current week estimate. BA.5 eaten away most significantly by rapid growth of BQ.1.1 (receding), BQ.1 (fast receding), XBB (receding), and XBB.1.5 (growing). BQ.1.1 estimated at 16.9%, 12.8%, and 9.4% versus 20.5% the week of 1/28, for an average -22% weekly change in estimated share. BQ.1 estimated at 5.6%, 3.9%, 2.6%, versus 7.5%, for an average -28% change in share. XBB estimated at 2.2%, 1.7%, 1.2%, versus 3.2%, for an average -22% change. XBB.1.5 estimated at 71.9%, 79.2%, 85.0%, versus 62.0%, for an average 13% growth. CH.1.1 estimated at 1.3%, 1.1%, 0.9%, versus 1.3%, for an average -13% change.
"You do you" is Eu-gen-ics.
7 months ago

U.S. share of G8 covid deaths ramps up: now 51% (+3)—a third again higher than U.S. share of G8 population.

U.S. share of G20 and global deaths likewise spiking, now at 27.6% (+5.8) and 27.5% (+5.7), representing 4× and 6½× U.S. share of respective populations.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CovidIsNotOver #DeathCult #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Source: Johns Hopkins University CSSE Covid-19 Data (via Our World in Data) Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality. Share of population for each comparison is provided for reference. U.S. share of G8 covid deaths is now at 51% (vs 38% of pop.), climbing after fall from late June peak (52%). This time last year, share of G8 covid deaths was 56%, on a steep slope downward. U.S. share of G20 covid deaths: similar pattern, now 27.6% (vs. 7% of G20 population). This time last year: 26.2%. U.S. share of global deaths exceeds share of pop. (4%), at 27.5%. This time last year, U.S. share of global covid deaths was 23.1%. All three metrics were near or below respective populations roughly May through August of two years ago; thereafter have been profoundly higher than population share ever since, includes several weeks ~12%, Jan-Feb '23, when China was reporting post-ZeroCovid deaths.
"You do you" is Eu-gen-ics.
7 months ago

Given preliminary excess deaths estimates, year thru mid-Jan saw one in four excess deaths as due to causes other than acute covid.

That's sudden & not-so-sudden deaths due to post-acute sequelae plus other—once preventable—deaths due to understaffed hospitals.

[Note: CDC has yet to release this week's covid death count.]

#ThisIsOurPolio #LongCovid #Covid #Covid19 #SARS2 #CovidIsNotOver #DeathCult #LifeExpectancy #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Sources: Centers for Disease Control. Rolling Year shows deaths reported latest 365 days. Line chart showing rolling annual tally of reported acute covid deaths and rolling annual tally of estimated excess deaths for all causes. The former figure peaked above 550,000 March of 2021, again above 500,000 last October, dropped sharply toward 450,000 early January, sloped down more slowly through June, before bumping up slightly in July, now trending downward, toward forecast to flatten above 150,000 entering mid-March. For the same time period, excess deaths initially paralleled covid deaths, peaked over 550,000 and then again over 500,000, fell to above 450,000 in January, before recovering (diverging for the first time from covid deaths) to remain near or above 500,000 through mid-August, though now trending downward, past 400,000 mark mid-October, with incomplete data suggesting further decline below 250,000 by mid-February.
Th0mms3n
7 months ago

#COVIDisAirborne #CleanAir #MaskUp #BetterMasks #PreventDeaths

https://youtu.be/QHW1y-FpyII

"You do you" is Eu-gen-ics.
7 months ago

NY/NJ & New England in Kraken week eight.

NY/NJ—96.9% (+1.7)
New England—96.0% (+2.4)
Mid-Atlantic—90.8%(+5)
SE—80.5%(+8.1)

Mtn/Dakotas—74.9% (+14)
Middle South—74.0% (+10.6)
SW—70.4% (~+11)
Great Lakes—73.5% (~+10)
Lower Midwest—69.1% (~+11)

NW—50.5% (~+12)

[See toot above for variants color key, or https://covid.cdc.gov/covid-data-tracker/#variant-proportions]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

Map: Nowcast Estimates for 2/12/2023 - 2/18/2023 by HHS Region Source: Centers for Disease Control Map shows pie charts for each of 10 regions, reflecting regional estimated proportions for specimens collected the week ending 2/18/2023. (Note this was released 2/17/2023.) All regions show XBB.1.5 (purple) taking majority share of their respective pie. Purple slices are nearly all of New England, New York/New Jersey, and Mid-Atlantic pies, with over three-quarters slice purple in Southeast, and near three-quarters for all other regions but for Northwest, which is just over half purple. Where a quarter or more still other colors, Cerebrus BQ.1.1 (light blue) dominates, with next most prominent slice Typhon BQ.1 (dark blue). Near a dozen other colors for other variants are mere slivers, if visible at all.
"You do you" is Eu-gen-ics.
7 months ago

Four weeks into national Kraken XBB.1.5 wave, all regions including Northwest now majority Kraken. No subvariants gain traction.

Even Orthus CH.1.1—added to chart three weeks ago—already down from plateau.

Cerebrus BQ.1.1 still one in eight samples nationally.

[Src: https://covid.cdc.gov/covid-data-tracker/#variant-proportions]

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CDC #variants #CovidIsNotOver #CovidIsAirborne #WearAMask #BetterMasks

CDC's Variant Nowcast showing weighted estimated distribution of variants over weeks ending 11/19/22 through 1/28/23, with model-projected estimates for following three weeks. Proportional stacked bar chart, where each color represents a different variant, incl. those descendants not otherwise broken out. Omicron-5 (BA.5), dominant through October, now reduced to about ⅖% of current week estimate. BA.5 eaten away most significantly by rapid growth of BQ.1.1 (receding), BQ.1 (fast receding), XBB (receding), and XBB.1.5 (growing). BQ.1.1 estimated at 20.9%, 16.2%, and 12.1% versus 24.6% the week of 1/28, for an average -20% weekly change in estimated share. BQ.1 estimated at 7.7%, 5.4%, 3.7%, versus 9.6%, for an average -25% change in share. XBB estimated at 2.7%, 2.1%, 1.5%, versus 3.4%, for an average -20% change. XBB.1.5 estimated at 64.1%, 73.0%, 80.2%, versus 53.0%, for an average 17% growth. CH.1.1 estimated at 1.6%, 1.4%, 1.2%, versus 1.6%, for an average -5% change.
"You do you" is Eu-gen-ics.
7 months ago

U.S. share of G8 covid deaths at 48% (+1)—climbing vs. G8 population share.

With no China reporting, U.S. share of G20 deaths jumps to 21.8%. Same for G20 deaths.

Note that U.S. shares of global/G20 deaths have been above population shares for year and a half.

#ThisIsOurPolio #Covid #Covid19 #SARS2 #CovidIsNotOver #DeathCult #CovidIsAirborne #WearAMask #BetterMasks

Chart: U.S. Share of 28-Day Covid Deaths Source: Johns Hopkins University CSSE Covid-19 Data (via Our World in Data) Shows covid 28-day mortality as reported for the U.S. as share of G8, G20, and global 28-day mortality. Share of population for each comparison is provided for reference. U.S. share of G8 covid deaths is now at 48% (vs 38% of pop.), climbing after fall from late June peak (52%). This time last year, share of G8 covid deaths was 57%, on a jaggedly sharp slope upward. U.S. share of G20 covid deaths: similar pattern, now 21.8% (vs. 7% of G20 population). This time last year: 27.9%. U.S. share of global deaths exceeds share of pop. (4%), at 21.8%. This time last year, U.S. share of global covid deaths was 24.8%. All three metrics were near or below respective populations roughly May through August of last year; last two have been profoundly higher than population share ever since; including several weeks ~12%, Jan-Feb '23, when China was reporting post ZeroCovid deaths.
"You do you" is Eu-gen-ics.
7 months ago

Given preliminary excess deaths estimates, year thru mid-Jan saw one in four excess deaths as due to causes other than acute covid.

That's sudden & not-so-sudden deaths due to post-acute sequelae plus other—once preventable—deaths due to understaffed hospitals.

[Note: CDC has yet to release this week's covid death count.]

#ThisIsOurPolio #LongCovid #Covid #Covid19 #SARS2 #CovidIsNotOver #DeathCult #LifeExpectancy #CovidIsAirborne #WearAMask #BetterMasks

Chart: Rolling Year Pandemic Mortality: United States Sources: Centers for Disease Control. Rolling Year shows deaths reported latest 365 days. Line chart showing rolling annual tally of reported acute covid deaths and rolling annual tally of estimated excess deaths for all causes. The former figure peaked above 550,000 March of 2021, again above 500,000 last October, dropped sharply toward 450,000 early January, sloped down more slowly through June, before bumping up slightly in July, now trending steadily downward, toward forecast to approach 150,000 entering March. For the same time period, excess deaths initially paralleled covid deaths, peaked over 550,000 and then again over 500,000, fell to above 450,000 in January, before recovering (diverging for the first time from covid deaths) to remain near or above 500,000 through mid-August, though now trending downward, past 400,000 mark mid-October, with incomplete data suggesting further decline toward 250,000 by early February.
Th0mms3n
8 months ago

If you want to stop most of the respiratory illnesses going around (currently and in general):

CLEAN. THE. FUCKING. AIR.

#COVIDisAirborne #CleanAir #MaskUp #Bettermasks

Catherine Clase
8 months ago

Which year saw the most deaths from Covid in Canada?

#WearAMask #BetterMasks #COVIDIsAirborne #CovidIsntOver #CovidIsNotOver #DoAllTheThings

Wear the best mask available
The best mask is an N95

https://maskevidence.org/mask-types

Catherine Clase
8 months ago

@Tinu idk if you would find this #CovidResources helpful

Resources for #MasksInSchools

https://maskevidence.org/masks-in-schools

#COVID #COVID19 #CovidIsNotOver #CovidIsntOver #LongCovid #MaskUp #WearAMask

#BetterMasks https://maskevidence.org/mask-types

Rachel 🏳️‍🌈 #DavosSafe for all
8 months ago

One of my fave kinds of passive #activism is to airdrop #COVID related #infographics to random people while I’m out. It feels like I’m doing something daring 😂

Most decline the airdrop request. But it’s super rewarding when they accept, and even better when they say something about it out loud to whomever they’re with.

#SarsCov2 #Covid19 #CovidDispatch #PublicHealth #Tripledemic #CleanAir #CovidIsNotOver #CovidIsAirborne #WearARespirator #BetterMasks #UpgradeYourMask #BringBackMasks

Catherine Clase
8 months ago

➡️ I'm seeing a lot of "N95s work and other masks do not"

➡️ Filtration is relative, not absolute

➡️ Summary and infographic ⬇️
https://maskevidence.org/mask-types

⬇️%s are filtration percentages for submicron (less than 1 micron) particles - aerosol data - the relevant size because #CovidIsAirborne

90% N95s without fit testing
70% Level 1 medical with cotton overmask
50% Level 1 medical or well-fitting 2-layer cotton

What does it mean?

➡️ Wear the best mask available

If you have access to N95s or FFP3s with overhead elastic, wear them

Otherwise use what you have: any mask is better than no mask

A certified medical mask with a good-fitting cloth mask over the top to improve the edge seal is a great low-cost combo

Mask braces are a bit uncomfortable but is you are in a high-risk situation (eg health care worker not supplied with routine N95s) they greatly improve the filtration of medical masks

#WearTheBestMaskAvailable

#COVID #BetterMasks #MaskUp #MaskMandates #Masks
#WearAMask #CovidIsNotOver #CovidIsntOver #BetterMasks #MaskUp #DoAllTheThings #ventilation #filtration #PaidSickDays #BringBackMasks #WearAMask #MasksSaveLives #MaskeAuf #MaskUp #MaskMandate #MaskMandateNow #CovidLong #LongCovid

Catherine Clase
8 months ago

It's taken me a while to figure out how to write an #Introduction. Here goes:

I’d appreciate a boost to help meet like-minded here.

I’m a professor of medicine at McMaster University #MacDeptMed, #McMasterU

Clinically, I work as a #KidneyDoctor (#Nephrology)

I’m an associate member of #HEI (#Epidemiology) at #McMasterU

I’m a member of the Centre of Excellence in Protective Equipment and Materials (#PPE, #N95, #CEPEM) at #McMasterU

My #ClinicalResearch is in #KidneyDisease #KidneyEpi (#CKD, #Potassium, #CKDProgression) and #Masks

I’m editor-in-chief of #CJKHD (@CanJKHD on the birdsite, not here yet) an #OpenAccess kidney journal with #PublishingPolicy:

#SupportiveReview (#Kindness, #KidneyKindness) https://journals.sagepub.com/doi/full/10.1177/20543581221080327
https://theconversation.com/peer-review-can-this-critical-step-in-the-publication-of-science-research-be-kinder-182142

#PortableReview (was your hard work rejected by a journal with IF>=4? Submit clean, redline, point-by-point response-to-reviews, and tell us which journal and undertake that you responded to all reviews received)
https://us.sagepub.com/en-us/nam/canadian-journal-of-kidney-health-and-disease/journal202590#aims-and-scope

I’m editor-in-chief of https://maskevidence.org/ which curates evidence on #BetterMasks and #MasksWork

For the pandemic, we need #SystemsApproaches because #CovidIsAirborne and #CovidIsNotOver. #DoAllTheThings #ventilation #filtration #PaidSickDays #BringBackMasks #WearAMask #MasksSaveLives #MaskeAuf #MaskUp #MaskMandate #MaskMandateNow #CovidLong #LongCovid

I’d like to see #KidneyVerse as the tag to find others with interest in #KidneyHealth and #KidneyDisease. #AskKidney #AskRenal

Also trying to be #LGBTQ #LGBTQ2 ally, working on #EDI #equity #diversity #inclusion, interested in #SocialJustice #UrbanPlanning.

Treaty 3|Dish with One Spoon, Turtle Island; Hamilton ON Canada. She/her

Bring Back Masks to BC
9 months ago

What type of mask are you currently wearing? Do you wear multiple masks such as double or triple masking? #WearAMask #covidmask #bringbackmasks #CovidIsNotOver #bettermasks @covidisairborne #weararespirator #n95 #p100 #respirator #surgicalmask #doublemask #triplemask If you are on another instance please boost this post to get it to other instances.

Rachel 🏳️‍🌈 #DavosSafe for all
10 months ago

Sigh. So, as always, since the real number of cases is 10-30x higher due to underreporting…we’re looking at 4.64 million to 13.93 million new cases SINCE LAST WEEK

#CovidIsNotOver #CovidIsAirborne #CovidDispatch
#PublicHealth #BringBackMasks #WearAMask
#BetterMasks
#UpgradeYourMask #SarsCov2 #Covid19 #COVID #ThisIsOurPolio

A screenshot of a tweet by user @LauraMiers that reads: “The CDC reports 2,981 new Covid deaths in the last week. 464,429 new COVID cases were reported since last week. 7-day positivity is 11.71 percent, up from 10.72 percent last week.” At the end of the tweet is a link to the covid.cdc.gov website where the Twitter user got their numbers/statistics.