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Copyright 2020 Trend Macrolytics LLC. All rights reserved. This document is not to be forwarded to individuals or organizations not
authorized by Trend Macrolytics LLC to receive it. For information purposes only; not to be deemed to be recommendations for buying
or selling specific securities or to constitute personalized investment advice. Derived from sources deemed to be reliable, but no
warranty is made as to accuracy.
Trend Macrolytics, LLC
Donald Luskin, Chief Investment Officer
Thomas Demas, Managing Director
Michael Warren, Energy Strategist
Data Insights: Covid-2019 Monitor Thursday, October 8, 2020
The global scorecard
India + 78,524 India + 971
US + 48,182 US + 892
Brazil + 31,553 Brazil + 734
France + 18,746 Argentina + 399
Argentina + 16,447 Mexico + 369
UK + 14,162 Iran + 239
Russia + 11,115 Russia + 202
Spain + 10,491 Colombia + 163
Colombia + 7,875 South_Africa + 145
Czechia + 5,338 Indonesia + 98
+ 242,433 + 4,212
World + 331,910 World + 5,679
Top ten 73% Top ten 74%
World
30.6 median population age
New cases New Deaths
The worst ten countries
47.660 bp of population infected
As of Oct 8
New confirmed cases
by continent
1.377 bp of population fatalities
Source: ECDC, TrendMacro calculations
For more information contact us: Donald Luskin: 312 273 6766 [email protected] Thomas Demas: 704 552 3625 [email protected]
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-casesmailto:[email protected]:[email protected]
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The US scorecard National and state-by-state data do not line up because of different sources
New cases New Deaths New in hospital Cume cases Cume deaths Cume in hospital
TX TN CA NY TX
FL OH TX CA CA
GA IN FL NJ FL
NC AZ NY TX GA
IL TX GA FL IL
IN WI IL MA IN
CA NY AZ IL TN
MO SC NC PA NC
ND NJ NJ GA VA
TN NV TN MI WI
All states All states All states All states All states
Top ten Top ten Top ten Top ten Top ten
Fewer daily cases Fewer new deaths Fewer new hospitalizations Most recoveries
United States
+ 71
+ 69
+ 62
+ 46
+ 44 205,375 7,161
4,279,238 130,173
38.1 median population age
230.309 bp of population infected
57% 64%
7,460,634 202,675
49%
+ 635
59%
31,346
55%
The ten worst US states
+ 845
+ 1,247
68%
3,394
3,175
2,151
1,779
1,673
1,138
1,115
1,013
926
853
17,217
221,258 8,244
209,342 7,229
773,435 16,177
CT -702 GU -3 TX -50
AL
828,461 25,536
720,125 16,147
307,750 9,538
221,934 9,085
466,908 16,111
324,650 14,945
Top ten
GA -101
TN -8
NC -754 PR -8
Five most improved US states
KS -1,597 AR -22 MN -367
CA -1,378 MA
OH
All states
+ 19,024
+ 38,696
IL
NC
NY
OK + 1,364
+ 1,335
+ 4,132
+ 2,251
+ 2,075
+ 1,676
TX
FL
WI
CA
TN
+ 140
+ 120
+ 119
+ 98
+ 1,617
+ 1,504
+ 1,393
+ 30
+ 28
+ 26
+ 76
+ 1,677
+ 37
+ 33
+ 31
+ 78
+ 59
-12
-813 KS
+ 26
+ 24
+ 372
6.453 bp of population fatalities
+ 9
AR + 5
UT + 4
AK + 0
AS + 0
AL -61
IL -68
Da
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ca
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s a
nd
de
ath
s
Source: States and test data Covid Tracking Project, US data ECDC, TrendMacro calculations
https://covidtracking.com/https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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Recommended reading
Backlash Grows in Orthodox Jewish Areas Over Virus
Crackdown by Cuomo Liam Stack
New York Times October 7, 2020
The Ballot Deadline Guessing Game Wall Street Journal October 7, 2020
Will the economic and psychological costs of covid-19
increase suicides? The Economist
October 5, 2020
Amazon Thoroughly Wrecks Narrative About
Lockdowns Being Necessary David Simon
RealClear Markets October 6, 2020
Eli Lilly says its monoclonal antibody cocktail is
effective in treating Covid-19 Matthew Herper
Stat News October 7, 2020
CNN Reporter Criticized for Taking off Mask
Criticizes Trump for Taking off Mask Matt Palumbo
Dan Bongino Show October 6, 2020
Who targeted the president? Sally Zelikovsky
American Thinker October 6, 2020
We’ve Destroyed the Arts Neal Pollack
Book and Film Globe
October 6, 2020
Meme of day
g
Source: Our beloved clients, and Power Line blog "The Week in Pictures"
https://www.nytimes.com/2020/10/07/nyregion/orthodox-jews-nyc-coronavirus.htmlhttps://www.nytimes.com/2020/10/07/nyregion/orthodox-jews-nyc-coronavirus.htmlhttps://www.wsj.com/articles/the-ballot-deadline-guessing-game-11602112765https://www.economist.com/international/2020/10/05/will-the-economic-and-psychological-costs-of-covid-19-increase-suicideshttps://www.economist.com/international/2020/10/05/will-the-economic-and-psychological-costs-of-covid-19-increase-suicideshttps://www.realclearmarkets.com/articles/2020/10/06/amazon_thoroughly_wrecks_narrative_about_lockdowns_being_necessary_579797.htmlhttps://www.realclearmarkets.com/articles/2020/10/06/amazon_thoroughly_wrecks_narrative_about_lockdowns_being_necessary_579797.htmlhttps://www.statnews.com/2020/10/07/eli-lilly-monoclonal-antibody-cocktail-covid-19/https://www.statnews.com/2020/10/07/eli-lilly-monoclonal-antibody-cocktail-covid-19/https://bongino.com/cnn-reporter-criticized-for-taking-off-mask-criticizes-trump-for-taking-off-maskhttps://bongino.com/cnn-reporter-criticized-for-taking-off-mask-criticizes-trump-for-taking-off-maskhttps://www.americanthinker.com/blog/2020/10/who_targeted_the_president.htmlhttps://bookandfilmglobe.com/creators/weve-destroyed-the-arts/https://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: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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The coronavirus mortality accelerometer … tracking the world’s fatality curves
Share of deceased population from day of first fatality
Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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Our most reliable evidence of slowing exponential growth 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: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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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: ECDC, IHME, TrendMacro calculations
https://covid19.healthdata.org/united-states-of-americahttps://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-caseshttps://covid19.healthdata.org/united-states-of-america
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From Ground Zero to the Rio Grande
New York
US ex-New York
Texas268.16 bp of population infected
33.9 median population age
As of Oct 8
38.1 median population age
240.71 bp of population infected
38.2 median population age
231.22 bp of population infected
13.13 bp of population fatalities
6.05 bp of population fatalities
5.56 bp of population fatalities
Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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The sun-belt hot-spot states (other than Texas)
California
Florida
Arizona
As of Oct 8
305.74 bp of population infected
38.0 median population age
42.2 median population age
210.37 bp of population infected
36.7 median population age
336.49 bp of population infected
4.09 bp of population fatalities
6.96 bp of population fatalities
7.85 bp of population fatalities
Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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Patient zero… and then everyone else
China
World ex-China
As of Oct 8
28.8 median population age
0.65 bp of population infected
37.4 median population age
58.24 bp of population infected
1.68 bp of population mortalities
0.02 bp of population mortalities
Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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Impact in the largest economies
Japan
Germany
France
As of Oct 8
41.2 median population age
97.52 bp of population infected
45.9 median population age
47.3 median population age
7.04 bp of population infected
37.36 bp of population infected
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ca
ses
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Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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Impact in The Anglosphere
United Kingdom
Canada
Australia9.83 bp of population infected
37.9 median population age
As of Oct 8
81.66 bp of population infected
40.5 median population age
45.69 bp of population infected
40.8 median population age
6.37 bp of population fatalities
2.51 bp of population fatalities
0.32 bp of population fatalities
Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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Impact in continental Europe
Italy
Spain
Switzerland
As of Oct 8
42.2 median population age
66.13 bp of population infected
44.9 median population age
45.5 median population age
55.33 bp of population infected
178.09 bp of population infected
Da
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ca
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ths
Da
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ew
ca
ses
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ths
Da
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Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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Impact in other hot-spots
South Korea
Singapore
Sweden
40.9 median population age
95.51 bp of population infected
5.82 bp of population fatalities
As of Oct 8
41.8 median population age
4.71 bp of population infected
101.41 bp of population infected
34.6 median population age
0.08 bp of population fatalities
0.01 bp of population fatalities
Da
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ca
ses
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ths
Da
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ew
ca
ses
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Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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Impact in the BRICs ex-China
India
Russia
Brazil
33.5 median population age
238.70 bp of population infected
7.04 bp of population fatalities
As of Oct 8
39.6 median population age
26.8 median population age
50.99 bp of population infected
8.64 bp of population infected
0.77 bp of population fatalities
0.15 bp of population fatalities
Da
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ca
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Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
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Impact in the Middle East and Africa
Israel
Iran
Africa (52 nations)11.15 bp of population infected
19.7 median population age
0.27 bp of population fatalities
As of Oct 8
30.3 median population age
30.2 median population age
316.84 bp of population infected
55.28 bp of population infected
2.02 bp of population fatalities
3.13 bp of population fatalities
Da
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ew
ca
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Da
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ca
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Source: ECDC, TrendMacro calculations
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases