beadsland, 1 year ago

More than one in ten responding hospitals indicate Critical Staffing shortages—reversing recovery of last year.

Capacity Level has been elevated since independence from the virus was declared—as fewer and fewer professionals are available to staff hospital beds.

#ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis

beadsland, 1 year ago

Pediatric staffing never recovered to pre-omicron levels. Rather, one in five pediatric beds reported last May: now missing.

PICU Capacity Level (not shown): 69%.

Weekly average ~50 PICU beds were covid patients.

We're failing our kids. The emergency is over.

#ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis

beadsland, 1 year ago

Some 185 (+5) counties have pediatric care near or over capacity (≥ 90%).

Of 258 (-3) counties reporting any PICU capacity, near one in six are over or near full.

So many places where there aren't enough staff for sick or injured kids to receive required care.

#ThisIsOurPolio #pediatric #hospitals #pedsICU #RSV #Strep #Flu #LongCovidKids #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis

beadsland, 1 year ago

Counties by pediatric capacity (darkest counties on the map above):

#1 Coconino, AZ ≥150%
#2 San Juan, UT ≥133⅓%
#3 Collier, FL—132%

Idaho—131%

#4 Aroostook, ME—111%
#5 Onondaga, NY—106%

#6 Potter, TX—100%
#7 Buncombe, NC—100%
#8 Collin, TX—100%
#9 Anoka, MN—100%
#10 Galveston, TX—100%

#ThisIsOurPolio #RSV #Strep #Flu #LongCovidKids #CovidIsNotOver #BringBackMasks

beadsland, 1 year ago

Some 62 (+1) counties ≥ 100% capacity per HHS data.

Reporting ≥ 90%: 198 (-8)—near one in twelve with any capacity. Includes surge and overflow beds: near full can mean E/Rs with day long wait times.

For counties w/ ICUs—near one in six are full or near full.

#ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks #dataviz #datavis

beadsland, 1 year ago

Counties by adult hospital capacity (darkest counties on the map above):

#1 Warren, NY—131%
#2 Lawrence, IN—130%
#3 Wise, VA—127%
#4 Smyth, VA—121%

#5 Buchanan, MO—114%
#6 Covington, MS—112%
#7 Yuma, AZ—110%

#8 Kenton, KY—107%
#9 Delta, MI—103%
#10 Boone, KY—102%

#ThisIsOurPolio #hospitals #LongCovid #CovidIsNotOver #nurses #MassDisablingEvent #CovidIsAirborne #BringBackMasks

beadsland, 1 year ago

Third week of post-Kraken soup, CDC breaks out Arcturus kid XBB.1.16.1.

Over two fifths of CDC biweekly dark blue XBB.1.5 look to be subvariants. Kraken dot1 and FD.2—broken out by CDC—seem plateaued.

Some half of 15-day GISAID 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 | 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 5/26/2023 4:09:09 AM | Source (sequences): GISAID Bubble chart showing tallies of each identified variant for each state. Data has been filtered to shows near three dozen of Pangolin subvariants of XBB.1.5 (including parent). Top subvariants are XBB.1.5 (58.96%), EU.1.1 (4.05%), XBB.1.5.49 (4.05%). Largest and more prominent bubbles are dark blue (XBB.1.5) for New York (41), California (23), Washington (9), New Jersey (9), Oregon (7), Arizona, Virginia, and a North state; coral (EU.1.1) for Cali; light grey (XBB.1.5.49) for Cali & NY; mint green (XBB.1.5.3) for NY; with various states evident showing in other midsize bubbles. Many dozen smaller bubbles in numerous colors represents these and other variants in various states.

beadsland, 1 year ago

Arcturus XBB.1.16 (incl. FU.1) line now near third of GISAID sequences; one in five CDC specimens most regions.

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

Acrux 2.3 clan prominent in Northwest, Mtn/Dakotas.

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

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 5/26/2023 4:09:09 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 family). Top subvariants are XBB.1.16 (23.84%), XBB.1.9.1 (13.3%), XBB.1.16.1 (5.81%), FL.2 (3.49%), FL.4 (3.49%) and XBB.2.3.3 (3.49%). Largest circles are coral (XBB.1.16) for California (11), New York (10), Virginia (7), New Jersey (6) and Washington; brown (XBB.1.9.1) for Cali (8), Washington, NJ & NY; gold (XBB.1.16.1) for Cali (6); dark grey (FL.2) and light grey (EG.5.1) for Cali; and various other colors for variants across various states. Dozens of variously smaller bubbles for these and other variants in various states.

beadsland, 1 year ago

Just fixed a bug in newly added charts showing annualized deviation of excess deaths by select disease categories.

The "deaths since 2019" figures in legend were populated with inflated values. Math error.

Charts using only annual data weren't effected.

#dataviz #datavis #LongCovid #HeartDisease #Diabetes #Alzheimers #Sepsis #Cancer

https://ko-fi.com/K3K1C33M3?viewimage=IT6T5LOM6R

Chart: Circulatory Causes of Death: Annualized Deviation from 2015-2019 Average Notation in green: After Bug Fix Values in legend for each of five disease categories are circled in green, to indicate where error corrected: * Hypertensive disease (+29K more annualized deaths vs. 2019) * Cerebrovascular diseases (+13K) * Heart failure (+2K) * Ischemic heart disease (+1K) * Other diseases of the circulatory system (+8K)

beadsland, 1 year ago

Folk are dying at record numbers, of comorbidities of severe acute covid that are also implicated as post-acute sequelae of covid infection. ↺

Of course, ongoing hospital staffing attrition also contributes to elevated death tolls. Said attrition continues. ↺

[Bug fix. See note above.]

#ThisIsOurPolio #LongCovidKills #LongCovid #CovidIsNotOver #hospitals #nurses #HeartDisease #Diabetes #Alzheimers #Dementia #Sepsis #Cancer #Covid19 #DeathCult #LifeExpectancy

Chart: Elevated Non-Circulatory Causes of Death: Annualized Dev. from 2015-2019 Avg Data: CDC, Census. Reflects death that don't list covid as a cause. Caption: After spiking in first year of the pandemic, annualized Alzheimer disease and dementia mortality dropped just as swiftly, thereafter remaining near or below historical trend. Diabetes mortality has not been so quick to recover from first year spike, only beginning to decline in the second half of last year, though still well above pre-pandemic trend. Deaths by sepsis were markedly down in 2019, following a coordinated national effort by hospitals. Despite this, sepsis mortality has been climbing at a rate well above even pre-2019’s relatively flat trendline, for over three years now. Renal failure deaths didn’t see an appreciable climb until the latter part of 2021, peaking only months ago. Meanwhile, malignant neoplasm (cancer) deaths, slower to manifest, have been suggestively creeping above trend for well over a year. Legend (in part): * Diabetes (+11K more annualized deaths vs. 2019) * Alzheimers and dementia (+18K) * Renal failure (+5K) * Sepsis (+4K) * Malignant neoplasms (+11K) * Projected U.S. 65+ population Dotted lines indicate trendlines from Jan 2020 forward, for each disease category. A dash-dot line indicates sepsis trendline if concerted effort at reduction in 2019 not occurred.

beadsland, 1 year ago

Given evidence linking covid infection to sudden onset liver damage, recent increased liver disease mortality is hardly surprising.

Elevated accidental deaths, however, are less open to presumptive explanation. Our world has changed and with it our expectations.

[Charts not altered by bug discussed above.]

#ThisIsOurPolio #LongCovidKills #CovidIsNotOver
#hospitals #nurses #LongCovid
#MassDisablingEvent #liver #accident #Covid19 #SARS2 #DeathCult #LifeExpectancy

Chart: Causes of Accidental Deaths: Reported Annual Data Data: NCHS, U.S. Census Data 2015 to 2019. 2020-2022 blank. Caption: Historically, U.S. health authorities have published “Final Data”—detailed tables and demographic analysis of causes of mortality—about eighteen months, give or take, from the close of each calendar year. This pattern has largely held for every year back to 1996, likely reflecting non-digitized (pre-PDF) practice from long before that. Yet for 2020 and 2021, we only have abridged “final statistics”, released December of last year. We would have typically expected final data for 2020 to be released last year, and final data for 2021 sometime in the next few months. Undoubtedly, steeply elevated deaths by unintentional injury in recent years are attributable to a combination of factors: biomedical (consequences of both of deferred treatment for progressive and chronic conditions and newly emerged post-acute sequelae, i.e. Long Covid), sociotechnical (risks introduced by as yet unexamined pandemocene changes to our built environment and our collective navigation of same), and systemic (less access to life-saving interventions and post-injury care as a result of ongoing attrition of medical professionals). Absent data, however, we’re left only with speculation and conjecture.

beadsland, 1 year ago

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

As of March, for every three covid deaths, the 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: Rolling Year Pandemic Mortality: United States Data: CDC, National Center for Health Statistics 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.