CV19 US Hospitalization Rates

CV19 Pandemic Update!

US has stepped up testing rapidly, and so while social distancing is at -40%, we still show +1% of the new model prediction.

03-26 Thursday
1-day Projection: WW 524523/24175; PRC 81731/3289; NON 442792/20886; IT 79988/8254; US 80513/1257; TX 1582/19 non+IT 1.2%, US 5.1%
1-Day Distancing: WW 524523/24175; PRC 81731/3289; NON 442792/20886; IT 79988/8254; US 82170/1244; TX 1632/20 TX 5% high, US 2% low
Actual Numbers: WW 529591/23970; PRC 81782/3291; NON 447809/20679; IT 80589/8215; US 83836/1209; TX 1563/21

The rapid rise in US testing (127% per day average) may numerically counter the decrease in disease spread from social distancing (-40%). I hope that is factored into the policy plans, because it may look a lot more spooky over the next week than it really is.

03-27 Friday
1-Day Projection: WW 601509/27192; PRC 81903/3297; NON 519605/23895; IT 87309/8995; US 106851/1552; TX 1988/29
1-Day Distancing: WW 601509/27192; PRC 81903/3297; NON 519605/23895; IT 87309/8995; US 103554/1554; TX 1971/27
1=Day US Prototype: Positive: 89,618 Negative: 486,863 Pending: 66,880 Hospitalized: 13,923 Dead: 1,471

I added the Number of Tests and number hospitalized in the US to the spreadsheet. This is somewhat complete for the US and TX, but other countries are hit or miss. Those checkpoint earlier in the day than other stats, but that is fine. Those are much better numbers to track hospital overload than trying to extrapolate from confirmed cases, but much less data. I am still tweaking it all.

Midday Thursday, the US had 10131 hospitalized, and 1163 dead from COVID-19. The rates of increase of these are still climbing at the typical 135% per day. There is not yet a clear correlation between social distancing and death or hospitalization rates, but I am still testing ideas.

Since I only have that for the whole US, I am still tracking confirmed, death, and projecting with social distancing in the main sheet.

2020-04-01 7-day Comparison
7-Day Projection: WW 1169645/61852; PRC 82134/3338; NON 1087512/58514; IT 157313/19560; US 477863/6398; TX 9131/162
7-Day Distancing: WW 1169645/61852; PRC 82134/3338; NON 1087512/58514; IT 157313/19560; US 232880/4603; TX 5875/72
7-Day US Prototype: Positive: 134,035 Negative: 728,160 Pending: 100,028 Hospitalized: 68,262 Dead: 4,770 Overrun: 04-06 295-335k

The old formula pushes Texas overrun slightly further out for late-stage events:

04-06 29k TEXAS ICU OVERRUN STAGE 1
04-07 36k TEXAS VENT OVERRUN STAGE 1
04-12 146k TEXAS ICU STG3
04-13 178k TEXAS VENT STG3 & Hosp STG1
04-16 400k may be the inflection point for Texas if 14% like China, but our death rate is lower than theirs or the world.
04-17 532k TEXAS HOSP STG3
04-20 1.2m Inflection point for R0 of 2.2 is 60% with detection rate of 39.08

The new distancing prototype formula looks like this after tweaking:

04-15 2929 TEXAS ICU OVERRUN STAGE 1
04-17 1787 TEXAS VENT OVERRUN STAGE 1
05-02 2929 TEXAS ICU OVERRUN STAGE 3
05-03 1787 TEXAS VENT OVERRUN STAGE 2
05-04 26633 TEXAS HOSPITAL OVERRUN STAGE 1
05-09 4550 TEXAS VENT OVERRUN STAGE 3
05-09 400k may be the inflection point for Texas if 14% like China, but our death rate is lower than theirs or the world.
05-16 26633 TEXAS HOSPITAL OVERRUN STAGE 2
06-05 47441 TEXAS HOSPITAL OVERRUN STAGE 3
05-21 1.2m Inflection point for R0 of 2.2 is 60% with detection rate of 39.08

The growth in hospitalizations puts overrun at 04-06. I do not know what to believe.

Here are the milestones from 04-23 data for comparison to track our progress flattening the curve:

04-06 33k TEXAS ICU OVERRUN STAGE 1
04-07 45k TEXAS VENT OVERRUN STAGE 1
04-10 150k TEXAS VENT/ICU STG2 & Hosp STG 1
04-13 366k TEXAS VENT/ICU STG3 & Hosp STG 2
04-15 660k TEXAS Hosp STG 3

Milestones are based on guesstimates: TX 28.7m pop; 2.9 beds per 1000 in TX (83230); 32% unoccupied (26633) / 11% are ICU (2929); 6.7% ventilators (1787); 10% limited function ventilation (2663) / 5-15% conf need hosp(532k-177k @ overrun); 2-10% ICU (29k-146k); 1-5% need vent (36k-178k)

Testing has ramped up substantially, and the US has a capacity around 350k tests per week, or 50k per day. The increased testing, and the shift in social distancing makes these numbers more fuzzy. I tweaked my multipliers for regression testing.

Our hospital load may be 31.86% of the world average for the same number of confirmed. Korea had 8652 confirmed from 316664 tests on 03-20 with 94 deaths. Their death rate is 1.42%. Ours is 1.44% with 579k tests, 83836 confirmed, 1209 deaths. The world rate is 4.52% I suppose that the death to confirmed case is tied to the test percentage.

Inflection point for R0 of 2.2 is 60% of the population, times the percentage of infected people who get confirmed. It was estimated elsewhere that China at 4.02% mortality rate per confirmed was 14% tested. That means our hospital load will be 35.82% for the same number of confirmed, or that our confirmed cases are 39.08% of our total cases.

TX has 28.7 million, and 39.08% of that is 1.12 million as our inflection point.

Unknown accuracy because testing inputs are changing, and I am just making things up.

Social distancing data lags by 3 days. Statistics lag by 1 day. Detection lags by 9-12 days. Impact delay of SD on Confirmations is 9 days.

https://drive.google.com/file/d/1vocCN445AZyVBBLsv0kJR8ZDP9DM0UST/view


Projection Spreadsheet

Here’s the spreadsheet (attached).  It’s not super sophisticated.

On “Projection”, yellow is projection, blue is confirmed from JHU, green is confirmed from some other agency such as the WHO, or a medical report that maybe didn’t make it into the stats in time that day. Coloring is all set manually.

I manually update the last three sheets by cut/paste from their GitHub project.  I created dynamic tables at the top of each of those three pages.

That is what I cut/paste into “Projection” (transpose/transform on paste).  I do it manually so I can copy down projections, and because that’s a bit complicated for my Excel skills.

As a day on “Projection” is updated, the calculation cells between confirmed and dead are manually copied down one row to replace the yellow/grey lines.  That way they reflect actual percentage changes rather than projections still.

The graphs just got updated to dynamic.  As columns are added to the tables on the last two sheets, it should update the chart, but I’ve not tested it yet.

UPDATED: SARS-COV-2_COVID-19_Projections_c


CV19 March 20 Update

US +6000 each of 2 days. It is throwing off the projections. Is this the new rate, or catching up on deferred testing/reporting?

03-20 Proj: 274102/11148 WW; 81210/3257 PRC; 195048/7975 NON; 47150/3893 IT; 24034/339 US; 391/8 TX

03-20 Real: 272166/11299 WW; 81250/3253 PRC; 190916/8046 NON; 47021/4032 IT; 19100/244 US; 394/5 TX;

I expect the US death count to jump soon, but that’s only because I do not know why the death rate is so low in the US. (Nationalistic zeal,. eg we are better than them because…, is probably not the cause.)

Projection for today’s report:
03-21 Proj: WW 305,199/12,939; PRC 8,344/3,257; NON 225,617/9,782; IT 53,880/4,774; US 26,673/298; TX 597/5.

The 7 day projection is coming up on 03-22, and WW we have already exceeded that. The guess was +/- 25%.

03-22 OLD: 262771/11285 WW; 81266/3324 PRC; 259371/14696 NON; 78550/8986 IT; 25567/280 US; 521/21 TX.

03-22 NEW: 329353/14176 WW; 81380/3270 PRC; 264408/12015 NON; 63076/5862 IT; 36287/368 US; 843/8 TX.

The new US numbers are questionable as stated above.

Chart of SARS2 stats

Chart of SARS2 stats updted for JHU’s March 20 numbers.


Strava keeps better stats

I like Strava performance stats & Challenge awards.
Garmin environment & total stats,
Runkeeper has good goal setting,
and Map My Ride has other goals and awards.

I really wish I could have them all merged into one site.
Stats are awesome.

Strava Year-to-Date
Distance 1,192.4mi
Time 109hr 46m
Elev Gain 30,643ft
Rides 81

All-Time
Distance 1,192.4mi
Rides 81
Biggest Ride 60.2mi
Biggest Climb 33ft (WHAT!?!?!)

Bikes
Fens 4.0mi
Genesis 574.2mi
Paver 614.1mi

Garmin:
Count: 83 Activities
Distance: 1,179.91 mi
Time: 120:50:23 h:m:s
Elevation Gain: 44,072 ft
Avg Speed: 9.8 mph
Avg HR: 139 bpm
Avg Run Cadence: —
Avg Bike Cadence: 71 rpm
Calories: 65,550 C

Personal Records:
Elevation Gain 2185 ft 2013-09-28 TXF & HVP 2013/09/28
Longest Ride 60.2 mi 2013-09-28 TXF & HVP 2013/09/28