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Trend Macrolytics, LLC
Donald Luskin, Chief Investment Officer
Thomas Demas, Managing Director
Michael Warren, Energy Strategist
Data Insights: Covid-2019 Monitor Wednesday, January 6, 2021
The global scorecard
United States + 214,378 United States + 3,478
United Kingdom + 61,087 Brazil + 1,171
Brazil + 56,648 Mexico + 1,065
Sweden + 32,369 Germany + 1,009
Russia + 23,955 United Kingdom + 881
Spain + 23,700 France + 868
France + 20,825 Italy + 649
Germany + 18,349 South Africa + 513
India + 18,088 Russia + 503
Colombia + 16,835 Spain + 352
+ 486,234 + 10,489
World + 719,216 World + 15,137
Top ten 68% Top ten 69%
World
30.6 median population age
New cases New Deaths
The worst ten countries
113.488 bp of population infected
As of Jan 5
New confirmed cases
by continent
2.449 bp of population fatalities
Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations
For more information contact us: Donald Luskin: 312 273 6766 [email protected] Thomas Demas: 704 552 3625 [email protected]
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/mailto:[email protected]:[email protected]
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The US scorecard
New cases New Deaths New in hospital Cume cases Cume deaths Cume in hospital Hospital use ICU use
CA CA CA NY NY RI 87% NM 93%
MO TX TX TX FL GA 85% AL 92%
AZ NY FL CA NJ MD 83% GA 91%
TX MO NY FL GA SC 82% CA 88%
MI SC IL NJ AZ DC 80% OK 88%
PA VA OH IL OH NV 80% TX 87%
NY NC PA PA IN NC 79% RI 87%
IL AZ TN MI AL CT 78% NV 86%
IN GA GA MA MD CA 78% MS 85%
NJ FL NC GA MN AZ 77% NC 85%
72% 77%
69% 75%
Fewer daily cases Fewer new deaths Fewer new hospitalizations Most recoveries
United States
US vaccinations17.02 million doses distibuted
4.84 million 1st doses received
3.26 million distributed to long-term care
0.43 million 1st doses long-term care
10.693 bp of population fatalities
+ 23,443
OH + 11,130
TN + 8,713
PA + 6,173
OK + 4,120
OH -127
FL -162-39
-44
-2,459 IA
-3,572
+ 482
+ 347
+ 339
+ 209
+ 7,580
+ 6,839
+ 6,271
+ 185
+ 154
+ 150
+ 189
+ 12,666
+ 253
+ 250
+ 31,440
+ 368 + 31,630
+ 146
+ 142
OH
IL
NJ
GA + 6,102
+ 5,932
All states
+ 132,834
AZ
TX
CA
FL
NY
PA
2,452,334 30,802
1,367,778 27,003
735,003 18,562
673,915 16,546
1,041,028 22,515
991,719 19,382
13,608
597,208 12,734
1,843,153
+ 138
+ 153
28,219
+ 149
-45 IL
All states
Median
NY -18 ID -98
TX
Some states not reporting
The ten worst US states
+ 2,242
+2985
75%
89,995
64,783
49,058
43,018
40,303
39,650
36,121
35,430
27,542
22,337
448,237
617,649
+ 128
+ 107
+ 217
+ 263
+ 15,556
+ 8,818
All states
MN -1,571
575,396 11,072
10,895,183 200,443
704,124
64%
+ 2,127
Top ten
MI
CT
KS AL -163TN
-174
Top ten
+ 214,378
+1.60 million/day
+0.27 million/day
+0.73 million/day
+0.06 million/day
38.1 median population age
639.378 bp of population infected
52% 58%
20,825,758 348,286
62%
+ 3,478
61%
-2,184 KS -18
Five most improved US states
WA -7,605 CT
Dail
y n
ew
cases a
nd d
eath
s
Source: Covid Tracking Project, Dept. of Health and Human Services, CDC, TrendMacro calculations
https://covidtracking.com/https://catalog.data.gov/dataset/covid-19-estimated-patient-impact-and-hospital-capacity-by-statehttps://covid.cdc.gov/covid-data-tracker/#vaccinations
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US deep-dive National and state-by-state data do not line up because of different sources
Source: Covid Tracking Project, TrendMacro calculations
https://covidtracking.com/
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US deep-dive on the demographics of age, race and health
Age distribution of US cases, fatalities and case-fatality rates Cumulative
Racial distribution of US cases, fatalities and case-fatality rates
(Does not foot
with national average
due to sample error)
ComorbiditesTop-ten joint causes of Covid mortalities, cumulative For 6% of the deaths,
COVID-19 was the only
cause mentioned. For
deaths with conditions
or causes in addition to
COVID-19, on average,
there were 2.9
additional conditions or
causes per death.
Source: Distributions CDC, Comorbidities CDC, TrendMacro calculations
https://covid.cdc.gov/covid-data-tracker/#demographicshttps://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm
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Recommended reading
The Lab-Leak Hypothesis Nicholson Baker
New York Magazine Januray 4, 2021
Why did the world react so hysterically to covid? Sebastian Rushworth
January 3, 2021
Lockdowns Starve Mom and Pop Andy Pudzer
Wall Street Journal January 4, 2021
Meme of day
g
Source: Our beloved clients, and Power Line blog "The Week in Pictures"
https://nymag.com/intelligencer/article/coronavirus-lab-escape-theory.htmlhttps://sebastianrushworth.com/2021/01/03/why-did-the-world-react-so-hysterically-to-covid/https://www.wsj.com/articles/lockdowns-starve-mom-and-pop-11609802683https://www.powerlineblog.com/archives/category/the-week-in-pictures
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The coronavirus case accelerometer… tracking the world’s infection curves
Share of infected population from first day with 100 confirmed cases, log scale
Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/
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The coronavirus mortality accelerometer … tracking the world’s fatality curves
Share of deceased population from day of first fatality
Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/
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“Exponential”? Our most reliable evidence of the rate of spread of Covid-2019 Vertical: days to double deaths Horizontal: days from first death Flat indicates exponential spread Declining indicates supra-exponential spread Rising indicates sub-exponential spread
Source: Johns Hopkins, Covid Tracking Project, TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/
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Requirement to Open Up America Again: 14-day “downward trajectory” in new cases 14-day moving average, last 14 days Most recent value displayed ⚫ High ⚫ Low ◼ Downward trajectory ◼ Five best ◼ Upward trajectory ◼ Five worst
Source: Covid Tracking Project, TrendMacro calculations
https://assets.bwbx.io/documents/users/iqjWHBFdfxIU/rYDX4WWYX9Qg/v0https://covidtracking.com/
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Alt requirement to Open Up America Again: 14-day “downward trajectory” in pos tests 14-day moving average, last 14 days Most recent value displayed ⚫ High ⚫ Low ◼ Downward trajectory ◼ Five best ◼ Upward trajectory ◼ Five worst
Source: Covid Tracking Project, TrendMacro calculations
https://assets.bwbx.io/documents/users/iqjWHBFdfxIU/rYDX4WWYX9Qg/v0https://covidtracking.com/
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Reality-checking the models: actuals versus IHME predictions
Source: IHME, Covid Tracking Project, TrendMacro calculations
https://covid19.healthdata.org/united-states-of-americahttps://covid19.healthdata.org/united-states-of-americahttps://covidtracking.com/
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From Ground Zero to the Rio Grande
New York
US ex-New York
Texas635.66 bp of population infected
33.9 median population age
As of Jan 5
38.1 median population age
535.13 bp of population infected
38.2 median population age
646.00 bp of population infected
15.75 bp of population fatalities
10.26 bp of population fatalities
9.65 bp of population fatalities
Source: Covid Tracking Project,, TrendMacro calculations
https://covidtracking.com/
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The sun-belt hot-spot states (other than Texas)
California
Florida
Arizona
As of Jan 5
779.63 bp of population infected
38.0 median population age
42.2 median population age
620.65 bp of population infected
36.7 median population age
636.84 bp of population infected
6.74 bp of population fatalities
10.44 bp of population fatalities
12.45 bp of population fatalities
Source: Covid Tracking Project,, TrendMacro calculations
https://covidtracking.com/
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Patient zero… and then everyone else
China
World ex-China
As of Jan 5
28.8 median population age
138.88 bp of population infected
2.97 bp of population mortalities
0.69 bp of population infected
0.03 bp of population mortalities
37.4 median population age
Source: Johns Hopkins, Covid Tracking Project,TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_serieshttps://covidtracking.com/
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Impact in the largest economies
Japan
Germany
France
As of Jan 5
9.78 bp of population fatalities
408.56 bp of population infected
4.31 bp of population fatalities
0.28 bp of population fatalities
20.51 bp of population infected
218.57 bp of population infected
41.2 median population age
45.9 median population age
47.3 median population age
Dail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
s
Source: Johns Hopkins, TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series
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Impact in The Anglosphere
United Kingdom
Canada
Australia10.31 bp of population infected
37.9 median population age
As of Jan 5
417.53 bp of population infected
40.5 median population age
164.50 bp of population infected
40.8 median population age
11.34 bp of population fatalities
4.25 bp of population fatalities
0.33 bp of population fatalities
Source: Johns Hopkins, TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series
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Impact in continental Europe
Italy
Spain
Switzerland
As of Jan 5
9.27 bp of population fatalities
545.36 bp of population infected
10.88 bp of population fatalities
12.54 bp of population fatalities
361.44 bp of population infected
422.38 bp of population infected
45.5 median population age
44.9 median population age
42.2 median population age
Dail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
s
Source: Johns Hopkins, TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series
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Impact in other hot-spots
South Korea
Singapore
Sweden
40.9 median population age
464.09 bp of population infected
8.62 bp of population fatalities
As of Jan 5
41.8 median population age
12.70 bp of population infected
103.00 bp of population infected
34.6 median population age
0.19 bp of population fatalities
0.01 bp of population fatalities
Dail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
s
Source: Johns Hopkins, TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series
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Impact in the BRICs ex-China
India
Russia
Brazil
As of Jan 5
39.6 median population age
26.8 median population age
77.39 bp of population infected
22.50 bp of population infected
1.12 bp of population fatalities
0.40 bp of population fatalities
33.5 median population age
372.81 bp of population infected
9.38 bp of population fatalities
Dail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
s
Source: Johns Hopkins, TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series
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Impact in the Middle East and Africa
Israel
Iran
Africa (52 nations)
As of Jan 5
30.3 median population age
30.2 median population age
513.44 bp of population infected
143.45 bp of population infected
3.88 bp of population fatalities
6.36 bp of population fatalities
22.30 bp of population infected
19.7 median population age
0.52 bp of population fatalities
Dail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
sD
ail
y new
case
s and d
eath
s
Source: Johns Hopkins, TrendMacro calculations
https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series