SlideShare a Scribd company logo
1 of 29
Caveats and Comments
1
Overview:
This is my analysis, not Stanford’s. My plots and regressions are intended to understand the trajectory of COVID. It is not confidential and can be freely shared.
The R program code and PowerPoint files are available at https://github.com/StevenLShafer/COVID19/. Please contact me at steven.shafer@Stanford.edu if you
would like to be added or removed from the recipient list. Suggestions are most welcome! You are welcome to use the R code on GitHub for any purpose.
I am attempting to keep the analysis and commentary apolitical. I am now including partisan lean as a metric to help understand the epidemic. I occasionally point
out misrepresentations by government officials. I occasionally point out where government recommendations have placed Americans at increasing risk.
I try to provide a daily update in the morning, except Sundays. My analysis my be delayed by my clinical responsibilities as a Stanford anesthesiologist.
There is a lot of information on the figures. If something isn’t clear, please see the explanation on slide 2.
Data sources:
• USA Case Data: https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv
• USA Death Data: https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_US.csv
• USA Testing and Hospitalization Data: https://raw.githubusercontent.com/COVID19Tracking/covid-tracking-data/master/data/states_daily_4pm_et.csv
• Global Case Data: https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv
• Global Death Data: https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv
• Global Testing Data: https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv
• Mobility Data: https://www.gstatic.com/covid19/mobility/Global_Mobility_Report.csv
• Partisan Lean: MIT Election Data and Science Lab: https://doi.org/10.7910/DVN/VOQCHQ/HEIJCQ
• Ensemble Model: https://github.com/reichlab/covid19-forecast-hub/raw/master/data-processed/COVIDhub-ensemble/2020-xx-xx-COVIDhub-ensemble.csv
Models:
1. Future projections of case numbers are based on the Gompertz function (https://en.wikipedia.org/wiki/Gompertz_function): log 𝑐𝑢𝑚𝑢𝑙𝑎𝑡𝑖𝑣𝑒 𝑐𝑎𝑠𝑒𝑠 =
𝑐𝑢𝑟𝑟𝑒𝑛𝑡 𝑐𝑎𝑠𝑒𝑠 + 𝑚𝑎𝑥𝑖𝑚𝑢𝑚 𝑐𝑎𝑠𝑒𝑠 − 𝑐𝑢𝑟𝑟𝑒𝑛𝑡 𝑐𝑎𝑠𝑒𝑠 1 − 𝑒−𝑘 𝑡 . This is a naïve asymptotic model. k is the rate constant, such that log(2) / k = time to 50%
rise. t is the number of days. Wikipedia The Gompertz function is estimated from the last 3 weeks of data for cumulative cases (red dots in the figures).
Deaths are predicted from a log linear regression of deaths over the past 21 days. For the US, and individual states, I am also including the 98% prediction
interval from the COVID-19 Forecast Hub (https://covid19forecasthub.org/).
2. The rate of change in daily cases and deaths is the slope of delta cases / day over the last 14 days, divided by the average number of cases.
Locations
The locations for the modeling are where Pamela and I have family and friends, locations of interest to friends and colleagues, or countries in the news (e.g.,
China, South Korea, Sweden, Brazil) or with significant economic impact on the United States (e.g., Japan, Canada, Mexico). Locations are easy to add.
Stay safe, well, resilient, and kind.
Steve Shafer
steven.shafer@Stanford.edu
2,586,092
152,804
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
100,000,000
Actual(points)/Predicted(line)
Phase
Pre-Model
Modeled
Deaths
Tests
USA projection as of 2020-05-27
0
10,000
20,000
30,000
0
2,000
4,000
6,000
Cases/Day
Deaths/Day
Cases: 1,662,302 (32,123) -- Deaths: 98,220 (829) -- Case Mortality: 5.9% -- Daily Change in Cases: -0.5%
Explanation of the Figures
2
Brown dots:
cumulative tests
Red dots: cumulative cases
used to estimate Gompertz
function, presently set to last
3 weeks
Red line: predicted cumulative
cases based on the Gompertz
function estimated from the red
dots
Red number: total cases
on June 30th, based on
the Gompertz function
estimated from the red
dots
Black number: total
Deaths on July 31th,
based on log-linear
regression of the past
21 days
Black line: predicted
cumulative deaths, based
on a log linear regression
of deaths over past 21
days.
Axis for deaths / day, usually
1/10th of the axis for cases /
day on the left side of the
figure.
Green line: linear regression
over 8 days, used to calculate
percent increase / decrease
(see below)
Daily change in cases,
calculated as the slope of the
green line (above left) /
number of new cases
yesterday.
Case mortality:
cumulative deaths
/ cumulative cases.
Cases / day calculated
from cumulative cases
used to estimate the
Gompertz function
Cases / day calculated
from cumulative cases
not used to estimate the
Gompertz function
Deaths / day,
axis is on the left
Blue line: today
Blue dots: cumulative cases not
used to estimate Gompertz
function
Cumulative cases
(yesterday’s cases)
and cumulative deaths
(yesterday’s deaths)
Axis for cases / day.
Axis for deaths / day
appears to the right.
Geographic
location
Date of analysis,
also shown as
blue vertical line
below
Purple wedge: 98% ensemble
prediction interval from COVID-19
Forecast Hub (USA and US
States only)
Worldwide
25,825,982
909,457
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
100,000,000
Actual(points)/Predicted(line)
Phase
Pre-Model
Modeled
Deaths
Worldwide projection as of 2020-07-31
0
100,000
200,000
300,000
0
5,000
10,000
15,000
Cases/Day
Deaths/Day
Cases: 17,286,447 (266,309) -- Deaths: 673,075 (6,051) -- Case Mortality: 3.9% -- Daily Change: +1.3% Cases, +0.6% Deaths
2020-07-31 Summary: 3
USA
6,928,805
184,481
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
100,000,000
Actual(points)/Predicted(line)
Phase
Pre-Model
Modeled
Deaths
Tests
USA projection as of 2020-07-31
Mother'sDay
MemorialDay
July4th
July15,2020
0
20,000
40,000
60,000
80,000
0
1,000
2,000
3,000
4,000
Cases/Day
Deaths/Day
Cases: 4,494,601 (67,619) -- Deaths: 152,055 (1,233) -- Case Mortality: 3.4% -- Daily Change: +0.0% Cases, +3.0% Deaths
2020-07-31 Summary: 4
Japan, South Korea, Thailand, Vietnam
76,894
1,422
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
100,000,000
Actual(points)/Predicted(line)
Phase
Pre-Model
Modeled
Deaths
Tests
Japan, South Korea, Thailand, Vietnam projection as of 2020-07-31
0
500
1,000
1,500
2,000
0
25
50
75
100
Cases/Day
Deaths/Day
Cases: 53,262 (1,854) -- Deaths: 1,366 (7) -- Case Mortality: 2.6% -- Daily Change: +7.3% Cases, +4.8% Deaths
2020-07-31 Summary: 5
Western Europe
1,565,213
170,471
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
100,000,000
Actual(points)/Predicted(line)
Phase
Pre-Model
Modeled
Deaths
Tests
Western Europe projection as of 2020-07-31
0
20,000
40,000
60,000
80,000
0
1,000
2,000
3,000
4,000
Cases/Day
Deaths/Day
Cases: 1,452,642 (7,827) -- Deaths: 167,094 (73) -- Case Mortality: 11.5% -- Daily Change: +4.4% Cases, -1.5% Deaths
2020-07-31 Summary: 6
Ukraine
97,921
2,374
1
10
100
1,000
10,000
100,000
1,000,000
10,000,000
100,000,000
Actual(points)/Predicted(line)
Phase
Pre-Model
Modeled
Deaths
Tests
Ukraine projection as of 2020-07-31
0
500
1,000
0
20
40
60
Cases/Day
Deaths/Day
Cases: 70,300 (1,222) -- Deaths: 1,697 (24) -- Case Mortality: 2.4% -- Daily Change: +2.9% Cases, +1.7% Deaths
2020-07-31 Summary: 7
Worldwide cases
USA
BRA
IND
RUS
ZAF
MEX
PER
CHL
GBR
IRN
ESP
PAK
COL
SAU
ITA
BGD
TUR
FRA
DEU
ARG
IRQ
CAN
IDN
EGY
KAZ
CHN
PHL
UKR
NLD
ROU
POL
NGA
AFG
JPN
GHA
DZA
UZB
MAR
KEN
NPL
VEN
CMR
AUS
ETH
CIV
KOR
SDN
MDG
COD
MYS
THA
LKA
MOZ
YEM
UGA
NER
BFA
SYR
TZA
VNM
TWN
MMR
USA
0
1,000,000
2,000,000
3,000,000
4,000,000
1 6 11 16 21 26 31 36 41 46 51 56 61
Rank
Totalcasestodate
Worldwide cases
ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia
2020-07-31 Summary: 8
Worldwide cases per million
CHL
USA
PER
BRA
ZAF
SAU
ESP
COL
RUS
KAZ
GBR
IRN
ARG
ITA
IRQ
MEX
FRA
CAN
NLD
TUR
DEU
ROU
PAK
UKR
BGD
GHA
IND
AFG
POL
EGY
CMR
DZA
PHL
UZB
AUS
CIV
NPL
MAR
VEN
MDG
KEN
SDN
IDN
MYS
KOR
NGA
JPN
ETH
LKA
COD
MOZ
NER
YEM
BFA
CHN
THA
SYR
UGA
TWN
TZA
MMR
VNM
USA
0
5,000
10,000
15,000
20,000
1 6 11 16 21 26 31 36 41 46 51 56 61
Rank
Totalcasestodatepermillion
Worldwide cases per million
ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia
2020-07-31 Summary: 9
Average daily cases per capita over past 7
days
BRA
ZAF
USA
COL
PER
ARG
CHL
KAZ
IRQ
SAU
MEX
ESP
ROU
IND
RUS
IRN
GHA
UZB
UKR
VEN
AUS
MAR
DZA
BGD
PHL
KEN
MDG
CAN
FRA
NLD
GBR
POL
TUR
DEU
JPN
IDN
CIV
ETH
NPL
EGY
PAK
CMR
ITA
NGA
AFG
MOZ
SDN
SYR
KOR
COD
MYS
YEM
LKA
BFA
UGA
CHN
VNM
NER
THA
TWN
MMR
TZA
USA
0
100
200
300
1 6 11 16 21 26 31 36 41 46 51 56 61
Rank
Averagenewcasespercapita
Average daily cases per capita over past 7 days
ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia
2020-07-31 Summary: 10
Worldwide deaths
USA
BRA
GBR
MEX
IND
ITA
FRA
ESP
PER
IRN
RUS
COL
CHL
DEU
CAN
ZAF
NLD
PAK
TUR
IDN
EGY
IRQ
CHN
ARG
BGD
SAU
ROU
PHL
POL
UKR
AFG
DZA
JPN
NGA
KAZ
SDN
YEM
CMR
MAR
KEN
KOR
ETH
COD
AUS
GHA
VEN
UZB
MYS
MDG
CIV
NER
THA
BFA
NPL
SYR
TZA
MOZ
LKA
TWN
MMR
UGA
VNM
USA
0
50,000
100,000
150,000
1 6 11 16 21 26 31 36 41 46 51 56 61
Rank
Totaldeathstodate
Worldwide deaths
ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia
2020-07-31 Summary: 11
Worldwide deaths per million
GBR
ESP
PER
ITA
CHL
FRA
USA
BRA
MEX
NLD
CAN
IRN
COL
ZAF
IRQ
DEU
ROU
SAU
RUS
ARG
TUR
EGY
KAZ
AFG
POL
UKR
DZA
PAK
IND
SDN
IDN
CMR
YEM
PHL
BGD
MAR
AUS
KEN
JPN
GHA
KOR
VEN
NGA
MDG
UZB
CIV
MYS
NER
CHN
BFA
COD
ETH
SYR
NPL
THA
LKA
MOZ
TZA
TWN
MMR
UGA
VNM
USA
0
200
400
600
800
1 6 11 16 21 26 31 36 41 46 51 56 61
Rank
Totaldeathstodatepermillion
Worldwide deaths per million
ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia
2020-07-31 Summary: 12
Average daily deaths per capita over past 7
days
PER
COL
MEX
BRA
CHL
ZAF
USA
IRN
ARG
IRQ
KAZ
ROU
GBR
SAU
RUS
IND
EGY
UKR
AUS
AFG
DZA
IDN
BGD
CAN
MAR
MDG
POL
TUR
KEN
UZB
VEN
PAK
YEM
PHL
FRA
GHA
ETH
ITA
SDN
DEU
NLD
CMR
SYR
NGA
ESP
NPL
CIV
COD
JPN
KOR
UGA
MYS
CHN
BFA
MOZ
MMR
NER
LKA
TWN
TZA
THA
VNM
USA
0
10
20
1 6 11 16 21 26 31 36 41 46 51 56 61
Rank
Averagenewdeathspercapita
Average daily deaths per capita over past 7 days
ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia
2020-07-31 Summary: 13
Case Mortality vs. Testing
LUX
AREBHR
MLT
DNK
ISL
RUS
LTU
ISR
QAT
USA
AUS
PRT
MDV
BLR
GBR
IRL
KWT
ITA
SGP
BEL
LVA
CAN
KAZ
AUT
SRB
DEU
NZL
ESP
SAU
CHE
EST
CHLNOR
CZE
FIN
SVN
ROU
POL
NLD
TUR
GRC
PAN
ZAF
SVK
BGR
SLV
HUN
MAR
KOR
MYS
IRN
HRVURY
COL
UKR
CUB
RWA
PRYCRI
IND
ARG
GHA
PHL
BOLBRA
NPL
PER
ECU
PAK
TUN
FJI
BGD
SEN
MEX
JPN
THAKEN
TGO
ZWE
CIV
TWN
IDN
ETH
VNM
MMR
NGA
USA
0
5
10
15
0 20 40 60
% Tested
%CaseMortality
Case Mortality vs. Testing as of 2020-07-31
ARE: United Arab Emirates, BHR:Bahrain, MLT: Malta, ISR: Israel, LTU: Lithuania, ISL: Iceland
2020-07-31 Summary: 14
Mortality Trends
0
2
4
6
8
10
12
14
CaseRateMortality
Mortality Type:
13 day rolling median
Cumulative
Daily Raw
Daily vs. Cumulative Case Rate Mortality
Last week excluded because deaths are often backdated
2020-07-31 Summary: 15
Change in New Cases per Day
New cases are:
Increasing > +3%
Increasing between +1% and +3%
No Change (-1% to +1%)
Decreasing between -1% and -3%
Decreasing > -3%
New cases by state as of 2020-07-31
2020-07-31 Summary: 16
Cases as a Percent of Peak Cases
HI TX FL
OK LA MS AL GA
AZ NM KS AR TN NC SC DC
CA UT CO NE MO KY WV VA MD DE
OR NV WY SD IA IN OH PA NJ CT RI
WA ID MT ND MN IL MI NY MA
WI VT NH
AK ME
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
PercentofPeak
Daily Cases as a Percent of Peak Cases
2020-07-31 Summary: 17
Change in New Deaths per Day
New deaths are:
Increasing > +0.5%
Increasing between +0.1% and +0.5%
No Change (-0.1% to +0.1%)
Decreasing between -0.1% and -0.5%
Decreasing > -0.5%
New deaths by state as of 2020-07-31
2020-07-31 Summary: 18
Deaths as a Percent of Peak Deaths
HI TX FL
OK LA MS AL GA
AZ NM KS AR TN NC SC DC
CA UT CO NE MO KY WV VA MD DE
OR NV WY SD IA IN OH PA NJ CT RI
WA ID MT ND MN IL MI NY MA
WI VT NH
AK ME
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
0
25
50
75
100
PercentofPeak
Daily Deaths as a Percent of Peak Deaths
2020-07-31 Summary: 19
Total US COVID-19 Cases
CA
FL
TX
NY
GA
NJ
IL
AZ
NC
MA
PA
LA
TN
MI
OH
VA
SC
MD
AL
IN
MS
WA
MN
WI
CT
MO
NV
CO
IA
AR
UT
OK
KY
KS
NE
NM
ID
RI
OR
DE
DC
SD
NH
WV
ND
ME
MT
AK
WY
HI
VT
0
100,000
200,000
300,000
400,000
500,000
1 6 11 16 21 26 31 36 41 46 51
Rank
Totalcases
Masks
No
Yes
Governor
aa
Democratic
Republican
Total US COVID-19 Cases
p masks: 0.33, p governor: 0.61. NB: association != causation.
2020-07-31 Summary: 20
Total US COVID-19 Cases per Million
LA
AZ
FL
NY
NJ
MS
RI
AL
GA
DC
SC
MA
NV
DE
TN
TX
MD
IL
IA
CT
AR
NE
CA
UT
NC
ID
VA
SD
NM
IN
MN
KS
PA
OK
MI
WI
ND
CO
MO
OH
WA
KY
NH
WY
OR
AK
MT
WV
ME
VT
HI
0
10,000
20,000
1 6 11 16 21 26 31 36 41 46 51
Rank
TotalCasesperMillion
Masks
No
Yes
Governor
aa
Democratic
Republican
Total US COVID-19 Cases per Million
p masks: 0.59, p governor: 0.46. NB: association != causation.
2020-07-31 Summary: 21
Average US COVID-19 cases over the past
7 days
FL
MS
LA
AL
GA
AZ
TN
NV
SC
TX
ID
AR
OK
MO
CA
NC
IA
UT
WI
ND
NM
NE
KS
MD
KY
AK
MN
VA
IN
MT
OH
DE
IL
WA
RI
CO
DC
WY
SD
OR
WV
MI
PA
CT
HI
NJ
MA
NY
NH
ME
VT
0
100
200
300
400
500
1 6 11 16 21 26 31 36 41 46 51
Rank
DailyCasesperMillion
Masks
No
Yes
Governor
aa
Democratic
Republican
Average US COVID-19 cases over the past 7 days
p masks: 0.022, p governor: 0.01. NB: association != causation.
2020-07-31 Summary: 22
Total US COVID-19 Deaths
NY
NJ
CA
MA
IL
PA
FL
MI
TX
CT
LA
GA
AZ
MD
OH
IN
VA
NC
CO
SC
MN
MS
AL
WA
MO
TN
RI
WI
IA
NV
KY
NM
DC
DE
OK
AR
NH
KS
NE
OR
UT
ID
SD
ME
WV
ND
VT
MT
HI
WY
AK
0
10,000
20,000
30,000
1 6 11 16 21 26 31 36 41 46 51
Rank
TotalDeathsperMillion
Masks
No
Yes
Governor
aa
Democratic
Republican
Total US COVID-19 Deaths
p masks: 0.047, p governor: 0.13. NB: association != causation.
2020-07-31 Summary: 23
Total US COVID-19 Deaths per Million
NJ
NY
MA
CT
RI
LA
DC
MI
IL
DE
MD
PA
MS
AZ
IN
GA
SC
AL
CO
FL
NH
NM
OH
MN
IA
NV
VA
CA
TX
WA
MO
NC
NE
KY
WI
TN
AR
SD
OK
ND
KS
ID
UT
VT
ME
OR
WV
MT
WY
AK
HI
0
500
1,000
1,500
1 6 11 16 21 26 31 36 41 46 51
Rank
TotalDeathsperMillion
Masks
No
Yes
Governor
aa
Democratic
Republican
Total US COVID-19 Deaths per Million
p masks: 0.036, p governor: 0.13. NB: association != causation.
2020-07-31 Summary: 24
Average US COVID-19 deaths over the past
7 days
AZ
SC
TX
MS
FL
DE
LA
AL
GA
NV
CA
ID
TN
NM
AR
NC
OH
MA
IA
OK
MO
MD
WA
UT
KS
IN
MT
KY
SD
OR
VA
IL
NJ
NH
RI
WI
ND
PA
CO
NE
MN
CT
NY
WV
DC
MI
AK
ME
WY
VT
HI
0.0
3.0
6.0
9.0
12.0
1 6 11 16 21 26 31 36 41 46 51
Rank
DailydeathsperMillion
Masks
No
Yes
Governor
aa
Democratic
Republican
Average US COVID-19 deaths over the past 7 days
p masks: 0.49, p governor: 0.066. NB: association != causation.
2020-07-31 Summary: 25
Percent Tested
AK
NY
LA
NM
DC
NJ
CT
TN
IL
ND
CA
RI
DE
MI
MN
MA
FL
AR
NC
UT
WI
MT
OK
WV
MS
NV
VT
IA
MD
GA
AL
NE
SC
KY
VA
WA
SD
TX
AZ
OH
ME
NH
MO
IN
ID
KS
OR
PA
WY
CO
HI
0
10
20
30
1 6 11 16 21 26 31 36 41 46 51
Rank
PercentTested
Masks
No
Yes
Governor
aa
Democratic
Republican
Percent Tested
p masks: 0.15, p governor: 0.27. NB: association != causation.
2020-07-31 Summary: 26
Positive fraction trends
HI TX FL
OK LA MS AL GA
AZ NM KS AR TN NC SC DC
CA UT CO NE MO KY WV VA MD DE
OR NV WY SD IA IN OH PA NJ CT RI
WA ID MT ND MN IL MI NY MA
WI VT NH
AK ME
min
max
min
max
min
max
min
max
min
max
min
max
min
max
min
max
Fractionpositivefrommintomax
Positive fraction trends from min to max
2020-07-31 Summary: 27
Hospitalizations trends
HI TX FL
OK LA MS AL GA
AZ NM KS AR TN NC SC DC
CA UT CO NE MO KY WV VA MD DE
OR NV WY SD IA IN OH PA NJ CT RI
WA ID MT ND MN IL MI NY MA
WI VT NH
AK ME
min
max
min
max
min
max
min
max
min
max
min
max
min
max
min
max
Hospitalizationsfrommintomax
Hospitalizations trends from min to max
2020-07-31 Summary: 28
Case Mortality vs. Testing
AL
AK
AZ
AR
CA
CO
CT
DE
DC
FL
GA
HI
ID
IL
IN
IA
KS
KY
LA
ME
MD
MA
MI
MN
MS
MO
MT
NE
NV
NH
NJ
NM
NY
NC ND
OH
OK
OR
PA
RI
SC
SD
TN
TX
UT
VT
VA
WA
WVWI
WY
2.5
5.0
7.5
10 15 20 25 30
% Tested
%Mortality
Mortality vs. Testing as of 2020-07-31
2020-07-31 Summary: 29

More Related Content

What's hot

What's hot (20)

COVID-19 Update (Summary): August 8, 2020
COVID-19 Update (Summary): August 8, 2020COVID-19 Update (Summary): August 8, 2020
COVID-19 Update (Summary): August 8, 2020
 
COVID-19 Update (Summary): July 29, 2020
COVID-19 Update (Summary): July 29, 2020COVID-19 Update (Summary): July 29, 2020
COVID-19 Update (Summary): July 29, 2020
 
COVID-19 Update (Summary): August 15, 2020
COVID-19 Update (Summary): August 15, 2020COVID-19 Update (Summary): August 15, 2020
COVID-19 Update (Summary): August 15, 2020
 
COVID-19 Update (Summary): August 14, 2020
COVID-19 Update (Summary): August 14, 2020COVID-19 Update (Summary): August 14, 2020
COVID-19 Update (Summary): August 14, 2020
 
COVID-19 Update (Summary): August 13, 2020
COVID-19 Update (Summary): August 13, 2020COVID-19 Update (Summary): August 13, 2020
COVID-19 Update (Summary): August 13, 2020
 
COVID-19 Update (Summary): September 14, 2020
COVID-19 Update (Summary): September 14, 2020COVID-19 Update (Summary): September 14, 2020
COVID-19 Update (Summary): September 14, 2020
 
COVID-19 Update (Summary): September 10, 2020
COVID-19 Update (Summary): September 10, 2020COVID-19 Update (Summary): September 10, 2020
COVID-19 Update (Summary): September 10, 2020
 
COVID-19 Update (Summary): September 3, 2020
COVID-19 Update (Summary): September 3, 2020COVID-19 Update (Summary): September 3, 2020
COVID-19 Update (Summary): September 3, 2020
 
COVID-19 Update (Summary): September 12, 2020
COVID-19 Update (Summary): September 12, 2020COVID-19 Update (Summary): September 12, 2020
COVID-19 Update (Summary): September 12, 2020
 
COVID-19 Update (Summary): September 13, 2020
COVID-19 Update (Summary): September 13, 2020COVID-19 Update (Summary): September 13, 2020
COVID-19 Update (Summary): September 13, 2020
 
COVID-19 Update (Summary): September 11, 2020
COVID-19 Update (Summary): September 11, 2020COVID-19 Update (Summary): September 11, 2020
COVID-19 Update (Summary): September 11, 2020
 
COVID-19 Update (Summary): October 6, 2020
COVID-19 Update (Summary): October 6, 2020 COVID-19 Update (Summary): October 6, 2020
COVID-19 Update (Summary): October 6, 2020
 
COVID-19 Update (Summary): October 8, 2020
COVID-19 Update (Summary): October 8, 2020 COVID-19 Update (Summary): October 8, 2020
COVID-19 Update (Summary): October 8, 2020
 
COVID-19 Update (Summary): September 25, 2020
COVID-19 Update (Summary): September 25, 2020 COVID-19 Update (Summary): September 25, 2020
COVID-19 Update (Summary): September 25, 2020
 
COVID-19 Update (Summary): October 5, 2020
COVID-19 Update (Summary): October 5, 2020 COVID-19 Update (Summary): October 5, 2020
COVID-19 Update (Summary): October 5, 2020
 
COVID-19 Update (Summary): September 21, 2020
COVID-19 Update (Summary): September 21, 2020 COVID-19 Update (Summary): September 21, 2020
COVID-19 Update (Summary): September 21, 2020
 
COVID-19 Update (Summary): September 18, 2020
COVID-19 Update (Summary): September 18, 2020COVID-19 Update (Summary): September 18, 2020
COVID-19 Update (Summary): September 18, 2020
 
COVID-19 Update (Summary): September 27, 2020
COVID-19 Update (Summary): September 27, 2020 COVID-19 Update (Summary): September 27, 2020
COVID-19 Update (Summary): September 27, 2020
 
COVID-19 Update (Summary): September 28, 2020
COVID-19 Update (Summary): September 28, 2020 COVID-19 Update (Summary): September 28, 2020
COVID-19 Update (Summary): September 28, 2020
 
COVID-19 Update (Summary): September 8, 2020
COVID-19 Update (Summary): September 8, 2020COVID-19 Update (Summary): September 8, 2020
COVID-19 Update (Summary): September 8, 2020
 

Similar to COVID-19 Update (Summary): July 31, 2020

Similar to COVID-19 Update (Summary): July 31, 2020 (11)

COVID-19 Update (Summary): September 23, 2020
COVID-19 Update (Summary): September 23, 2020 COVID-19 Update (Summary): September 23, 2020
COVID-19 Update (Summary): September 23, 2020
 
COVID-19 Update (Summary): September 22, 2020
COVID-19 Update (Summary): September 22, 2020 COVID-19 Update (Summary): September 22, 2020
COVID-19 Update (Summary): September 22, 2020
 
COVID-19 Update (Summary): September 20, 2020
COVID-19 Update (Summary): September 20, 2020COVID-19 Update (Summary): September 20, 2020
COVID-19 Update (Summary): September 20, 2020
 
COVID-19 Update (Summary): September 19, 2020
COVID-19 Update (Summary): September 19, 2020COVID-19 Update (Summary): September 19, 2020
COVID-19 Update (Summary): September 19, 2020
 
COVID-19 Update (Summary): October 2, 2020
COVID-19 Update (Summary): October 2, 2020 COVID-19 Update (Summary): October 2, 2020
COVID-19 Update (Summary): October 2, 2020
 
COVID-19 Update (Summary): October 10, 2020
COVID-19 Update (Summary): October 10, 2020COVID-19 Update (Summary): October 10, 2020
COVID-19 Update (Summary): October 10, 2020
 
COVID-19 Update (Summary): October 3, 2020
COVID-19 Update (Summary): October 3, 2020 COVID-19 Update (Summary): October 3, 2020
COVID-19 Update (Summary): October 3, 2020
 
COVID-19 Update (Summary): October 9, 2020
COVID-19 Update (Summary): October 9, 2020COVID-19 Update (Summary): October 9, 2020
COVID-19 Update (Summary): October 9, 2020
 
COVID-19 Update (Summary): September 9, 2020
COVID-19 Update (Summary): September 9, 2020COVID-19 Update (Summary): September 9, 2020
COVID-19 Update (Summary): September 9, 2020
 
COVID-19 Update (Summary): July 27, 2020
COVID-19 Update (Summary): July 27, 2020COVID-19 Update (Summary): July 27, 2020
COVID-19 Update (Summary): July 27, 2020
 
COVID-19 Update (Summary): August 31, 2020
COVID-19 Update (Summary): August 31, 2020COVID-19 Update (Summary): August 31, 2020
COVID-19 Update (Summary): August 31, 2020
 

More from Steve Shafer

More from Steve Shafer (20)

COVID-19 Update (US States): October 11, 2020
COVID-19 Update (US States): October 11, 2020COVID-19 Update (US States): October 11, 2020
COVID-19 Update (US States): October 11, 2020
 
COVID-19 Update (US Counties): October 11, 2020
COVID-19 Update (US Counties): October 11, 2020COVID-19 Update (US Counties): October 11, 2020
COVID-19 Update (US Counties): October 11, 2020
 
COVID-19 Update (Summary): October 11, 2020
COVID-19 Update (Summary): October 11, 2020COVID-19 Update (Summary): October 11, 2020
COVID-19 Update (Summary): October 11, 2020
 
COVID-19 Update (International): October 11, 2020
COVID-19 Update (International): October 11, 2020COVID-19 Update (International): October 11, 2020
COVID-19 Update (International): October 11, 2020
 
COVID-19 Update (US States): October 10, 2020
COVID-19 Update (US States): October 10, 2020COVID-19 Update (US States): October 10, 2020
COVID-19 Update (US States): October 10, 2020
 
COVID-19 Update (US Counties): October 10, 2020
COVID-19 Update (US Counties): October 10, 2020COVID-19 Update (US Counties): October 10, 2020
COVID-19 Update (US Counties): October 10, 2020
 
COVID-19 Update (International): October 10, 2020
COVID-19 Update (International): October 10, 2020COVID-19 Update (International): October 10, 2020
COVID-19 Update (International): October 10, 2020
 
COVID-19 Update (US States): October 9, 2020
COVID-19 Update (US States): October 9, 2020COVID-19 Update (US States): October 9, 2020
COVID-19 Update (US States): October 9, 2020
 
COVID-19 Update (US Counties): October 9, 2020
COVID-19 Update (US Counties): October 9, 2020COVID-19 Update (US Counties): October 9, 2020
COVID-19 Update (US Counties): October 9, 2020
 
COVID-19 Update (International): October 9, 2020
COVID-19 Update (International): October 9, 2020COVID-19 Update (International): October 9, 2020
COVID-19 Update (International): October 9, 2020
 
COVID-19 Update (US States): October 8, 2020
COVID-19 Update (US States): October 8, 2020 COVID-19 Update (US States): October 8, 2020
COVID-19 Update (US States): October 8, 2020
 
COVID-19 Update (US Counties): October 8, 2020
COVID-19 Update (US Counties): October 8, 2020 COVID-19 Update (US Counties): October 8, 2020
COVID-19 Update (US Counties): October 8, 2020
 
COVID-19 Update (International): October 8, 2020
COVID-19 Update (International): October 8, 2020 COVID-19 Update (International): October 8, 2020
COVID-19 Update (International): October 8, 2020
 
COVID-19 Update (US States): October 7, 2020
COVID-19 Update (US States): October 7, 2020 COVID-19 Update (US States): October 7, 2020
COVID-19 Update (US States): October 7, 2020
 
COVID-19 Update (US Counties): October 7, 2020
COVID-19 Update (US Counties): October 7, 2020 COVID-19 Update (US Counties): October 7, 2020
COVID-19 Update (US Counties): October 7, 2020
 
COVID-19 Update (Summary): October 7, 2020
COVID-19 Update (Summary): October 7, 2020 COVID-19 Update (Summary): October 7, 2020
COVID-19 Update (Summary): October 7, 2020
 
COVID-19 Update (International): October 7, 2020
COVID-19 Update (International): October 7, 2020 COVID-19 Update (International): October 7, 2020
COVID-19 Update (International): October 7, 2020
 
COVID-19 Update (US States): October 6, 2020
COVID-19 Update (US States): October 6, 2020 COVID-19 Update (US States): October 6, 2020
COVID-19 Update (US States): October 6, 2020
 
COVID-19 Update (US Counties): October 6, 2020
COVID-19 Update (US Counties): October 6, 2020 COVID-19 Update (US Counties): October 6, 2020
COVID-19 Update (US Counties): October 6, 2020
 
COVID-19 Update (International): October 6, 2020
COVID-19 Update (International): October 6, 2020 COVID-19 Update (International): October 6, 2020
COVID-19 Update (International): October 6, 2020
 

Recently uploaded

Difference Between Skeletal Smooth and Cardiac Muscles
Difference Between Skeletal Smooth and Cardiac MusclesDifference Between Skeletal Smooth and Cardiac Muscles
Difference Between Skeletal Smooth and Cardiac Muscles
MedicoseAcademics
 
Cara Menggugurkan Kandungan Dengan Cepat Selesai Dalam 24 Jam Secara Alami Bu...
Cara Menggugurkan Kandungan Dengan Cepat Selesai Dalam 24 Jam Secara Alami Bu...Cara Menggugurkan Kandungan Dengan Cepat Selesai Dalam 24 Jam Secara Alami Bu...
Cara Menggugurkan Kandungan Dengan Cepat Selesai Dalam 24 Jam Secara Alami Bu...
Cara Menggugurkan Kandungan 087776558899
 
Physiologic Anatomy of Heart_AntiCopy.pdf
Physiologic Anatomy of Heart_AntiCopy.pdfPhysiologic Anatomy of Heart_AntiCopy.pdf
Physiologic Anatomy of Heart_AntiCopy.pdf
MedicoseAcademics
 
Obat Aborsi Ampuh Usia 1,2,3,4,5,6,7 Bulan 081901222272 Obat Penggugur Kandu...
Obat Aborsi Ampuh Usia 1,2,3,4,5,6,7 Bulan  081901222272 Obat Penggugur Kandu...Obat Aborsi Ampuh Usia 1,2,3,4,5,6,7 Bulan  081901222272 Obat Penggugur Kandu...
Obat Aborsi Ampuh Usia 1,2,3,4,5,6,7 Bulan 081901222272 Obat Penggugur Kandu...
Halo Docter
 

Recently uploaded (20)

Creeping Stroke - Venous thrombosis presenting with pc-stroke.pptx
Creeping Stroke - Venous thrombosis presenting with pc-stroke.pptxCreeping Stroke - Venous thrombosis presenting with pc-stroke.pptx
Creeping Stroke - Venous thrombosis presenting with pc-stroke.pptx
 
spinal cord disorders and paraplegia .
spinal cord disorders  and  paraplegia .spinal cord disorders  and  paraplegia .
spinal cord disorders and paraplegia .
 
ABO Blood grouping in-compatibility in pregnancy
ABO Blood grouping in-compatibility in pregnancyABO Blood grouping in-compatibility in pregnancy
ABO Blood grouping in-compatibility in pregnancy
 
VIP ℂall Girls Arekere Bangalore 6378878445 WhatsApp: Me All Time Serviℂe Ava...
VIP ℂall Girls Arekere Bangalore 6378878445 WhatsApp: Me All Time Serviℂe Ava...VIP ℂall Girls Arekere Bangalore 6378878445 WhatsApp: Me All Time Serviℂe Ava...
VIP ℂall Girls Arekere Bangalore 6378878445 WhatsApp: Me All Time Serviℂe Ava...
 
TEST BANK For Porth's Essentials of Pathophysiology, 5th Edition by Tommie L ...
TEST BANK For Porth's Essentials of Pathophysiology, 5th Edition by Tommie L ...TEST BANK For Porth's Essentials of Pathophysiology, 5th Edition by Tommie L ...
TEST BANK For Porth's Essentials of Pathophysiology, 5th Edition by Tommie L ...
 
Top 10 Most Beautiful Russian Pornstars List 2024
Top 10 Most Beautiful Russian Pornstars List 2024Top 10 Most Beautiful Russian Pornstars List 2024
Top 10 Most Beautiful Russian Pornstars List 2024
 
Difference Between Skeletal Smooth and Cardiac Muscles
Difference Between Skeletal Smooth and Cardiac MusclesDifference Between Skeletal Smooth and Cardiac Muscles
Difference Between Skeletal Smooth and Cardiac Muscles
 
Face and Muscles of facial expression.pptx
Face and Muscles of facial expression.pptxFace and Muscles of facial expression.pptx
Face and Muscles of facial expression.pptx
 
VIP ℂall Girls Thane West Mumbai 9930245274 WhatsApp: Me All Time Serviℂe Ava...
VIP ℂall Girls Thane West Mumbai 9930245274 WhatsApp: Me All Time Serviℂe Ava...VIP ℂall Girls Thane West Mumbai 9930245274 WhatsApp: Me All Time Serviℂe Ava...
VIP ℂall Girls Thane West Mumbai 9930245274 WhatsApp: Me All Time Serviℂe Ava...
 
SEMESTER-V CHILD HEALTH NURSING-UNIT-1-INTRODUCTION.pdf
SEMESTER-V CHILD HEALTH NURSING-UNIT-1-INTRODUCTION.pdfSEMESTER-V CHILD HEALTH NURSING-UNIT-1-INTRODUCTION.pdf
SEMESTER-V CHILD HEALTH NURSING-UNIT-1-INTRODUCTION.pdf
 
Cara Menggugurkan Kandungan Dengan Cepat Selesai Dalam 24 Jam Secara Alami Bu...
Cara Menggugurkan Kandungan Dengan Cepat Selesai Dalam 24 Jam Secara Alami Bu...Cara Menggugurkan Kandungan Dengan Cepat Selesai Dalam 24 Jam Secara Alami Bu...
Cara Menggugurkan Kandungan Dengan Cepat Selesai Dalam 24 Jam Secara Alami Bu...
 
7 steps How to prevent Thalassemia : Dr Sharda Jain & Vandana Gupta
7 steps How to prevent Thalassemia : Dr Sharda Jain & Vandana Gupta7 steps How to prevent Thalassemia : Dr Sharda Jain & Vandana Gupta
7 steps How to prevent Thalassemia : Dr Sharda Jain & Vandana Gupta
 
Intro to disinformation and public health
Intro to disinformation and public healthIntro to disinformation and public health
Intro to disinformation and public health
 
Test bank for critical care nursing a holistic approach 11th edition morton f...
Test bank for critical care nursing a holistic approach 11th edition morton f...Test bank for critical care nursing a holistic approach 11th edition morton f...
Test bank for critical care nursing a holistic approach 11th edition morton f...
 
TEST BANK For Guyton and Hall Textbook of Medical Physiology, 14th Edition by...
TEST BANK For Guyton and Hall Textbook of Medical Physiology, 14th Edition by...TEST BANK For Guyton and Hall Textbook of Medical Physiology, 14th Edition by...
TEST BANK For Guyton and Hall Textbook of Medical Physiology, 14th Edition by...
 
Physicochemical properties (descriptors) in QSAR.pdf
Physicochemical properties (descriptors) in QSAR.pdfPhysicochemical properties (descriptors) in QSAR.pdf
Physicochemical properties (descriptors) in QSAR.pdf
 
Physiologic Anatomy of Heart_AntiCopy.pdf
Physiologic Anatomy of Heart_AntiCopy.pdfPhysiologic Anatomy of Heart_AntiCopy.pdf
Physiologic Anatomy of Heart_AntiCopy.pdf
 
Obat Aborsi Ampuh Usia 1,2,3,4,5,6,7 Bulan 081901222272 Obat Penggugur Kandu...
Obat Aborsi Ampuh Usia 1,2,3,4,5,6,7 Bulan  081901222272 Obat Penggugur Kandu...Obat Aborsi Ampuh Usia 1,2,3,4,5,6,7 Bulan  081901222272 Obat Penggugur Kandu...
Obat Aborsi Ampuh Usia 1,2,3,4,5,6,7 Bulan 081901222272 Obat Penggugur Kandu...
 
Part I - Anticipatory Grief: Experiencing grief before the loss has happened
Part I - Anticipatory Grief: Experiencing grief before the loss has happenedPart I - Anticipatory Grief: Experiencing grief before the loss has happened
Part I - Anticipatory Grief: Experiencing grief before the loss has happened
 
Top 10 Most Beautiful Chinese Pornstars List 2024
Top 10 Most Beautiful Chinese Pornstars List 2024Top 10 Most Beautiful Chinese Pornstars List 2024
Top 10 Most Beautiful Chinese Pornstars List 2024
 

COVID-19 Update (Summary): July 31, 2020

  • 1. Caveats and Comments 1 Overview: This is my analysis, not Stanford’s. My plots and regressions are intended to understand the trajectory of COVID. It is not confidential and can be freely shared. The R program code and PowerPoint files are available at https://github.com/StevenLShafer/COVID19/. Please contact me at steven.shafer@Stanford.edu if you would like to be added or removed from the recipient list. Suggestions are most welcome! You are welcome to use the R code on GitHub for any purpose. I am attempting to keep the analysis and commentary apolitical. I am now including partisan lean as a metric to help understand the epidemic. I occasionally point out misrepresentations by government officials. I occasionally point out where government recommendations have placed Americans at increasing risk. I try to provide a daily update in the morning, except Sundays. My analysis my be delayed by my clinical responsibilities as a Stanford anesthesiologist. There is a lot of information on the figures. If something isn’t clear, please see the explanation on slide 2. Data sources: • USA Case Data: https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv • USA Death Data: https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_US.csv • USA Testing and Hospitalization Data: https://raw.githubusercontent.com/COVID19Tracking/covid-tracking-data/master/data/states_daily_4pm_et.csv • Global Case Data: https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv • Global Death Data: https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv • Global Testing Data: https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv • Mobility Data: https://www.gstatic.com/covid19/mobility/Global_Mobility_Report.csv • Partisan Lean: MIT Election Data and Science Lab: https://doi.org/10.7910/DVN/VOQCHQ/HEIJCQ • Ensemble Model: https://github.com/reichlab/covid19-forecast-hub/raw/master/data-processed/COVIDhub-ensemble/2020-xx-xx-COVIDhub-ensemble.csv Models: 1. Future projections of case numbers are based on the Gompertz function (https://en.wikipedia.org/wiki/Gompertz_function): log 𝑐𝑢𝑚𝑢𝑙𝑎𝑡𝑖𝑣𝑒 𝑐𝑎𝑠𝑒𝑠 = 𝑐𝑢𝑟𝑟𝑒𝑛𝑡 𝑐𝑎𝑠𝑒𝑠 + 𝑚𝑎𝑥𝑖𝑚𝑢𝑚 𝑐𝑎𝑠𝑒𝑠 − 𝑐𝑢𝑟𝑟𝑒𝑛𝑡 𝑐𝑎𝑠𝑒𝑠 1 − 𝑒−𝑘 𝑡 . This is a naïve asymptotic model. k is the rate constant, such that log(2) / k = time to 50% rise. t is the number of days. Wikipedia The Gompertz function is estimated from the last 3 weeks of data for cumulative cases (red dots in the figures). Deaths are predicted from a log linear regression of deaths over the past 21 days. For the US, and individual states, I am also including the 98% prediction interval from the COVID-19 Forecast Hub (https://covid19forecasthub.org/). 2. The rate of change in daily cases and deaths is the slope of delta cases / day over the last 14 days, divided by the average number of cases. Locations The locations for the modeling are where Pamela and I have family and friends, locations of interest to friends and colleagues, or countries in the news (e.g., China, South Korea, Sweden, Brazil) or with significant economic impact on the United States (e.g., Japan, Canada, Mexico). Locations are easy to add. Stay safe, well, resilient, and kind. Steve Shafer steven.shafer@Stanford.edu
  • 2. 2,586,092 152,804 1 10 100 1,000 10,000 100,000 1,000,000 10,000,000 100,000,000 Actual(points)/Predicted(line) Phase Pre-Model Modeled Deaths Tests USA projection as of 2020-05-27 0 10,000 20,000 30,000 0 2,000 4,000 6,000 Cases/Day Deaths/Day Cases: 1,662,302 (32,123) -- Deaths: 98,220 (829) -- Case Mortality: 5.9% -- Daily Change in Cases: -0.5% Explanation of the Figures 2 Brown dots: cumulative tests Red dots: cumulative cases used to estimate Gompertz function, presently set to last 3 weeks Red line: predicted cumulative cases based on the Gompertz function estimated from the red dots Red number: total cases on June 30th, based on the Gompertz function estimated from the red dots Black number: total Deaths on July 31th, based on log-linear regression of the past 21 days Black line: predicted cumulative deaths, based on a log linear regression of deaths over past 21 days. Axis for deaths / day, usually 1/10th of the axis for cases / day on the left side of the figure. Green line: linear regression over 8 days, used to calculate percent increase / decrease (see below) Daily change in cases, calculated as the slope of the green line (above left) / number of new cases yesterday. Case mortality: cumulative deaths / cumulative cases. Cases / day calculated from cumulative cases used to estimate the Gompertz function Cases / day calculated from cumulative cases not used to estimate the Gompertz function Deaths / day, axis is on the left Blue line: today Blue dots: cumulative cases not used to estimate Gompertz function Cumulative cases (yesterday’s cases) and cumulative deaths (yesterday’s deaths) Axis for cases / day. Axis for deaths / day appears to the right. Geographic location Date of analysis, also shown as blue vertical line below Purple wedge: 98% ensemble prediction interval from COVID-19 Forecast Hub (USA and US States only)
  • 3. Worldwide 25,825,982 909,457 1 10 100 1,000 10,000 100,000 1,000,000 10,000,000 100,000,000 Actual(points)/Predicted(line) Phase Pre-Model Modeled Deaths Worldwide projection as of 2020-07-31 0 100,000 200,000 300,000 0 5,000 10,000 15,000 Cases/Day Deaths/Day Cases: 17,286,447 (266,309) -- Deaths: 673,075 (6,051) -- Case Mortality: 3.9% -- Daily Change: +1.3% Cases, +0.6% Deaths 2020-07-31 Summary: 3
  • 4. USA 6,928,805 184,481 1 10 100 1,000 10,000 100,000 1,000,000 10,000,000 100,000,000 Actual(points)/Predicted(line) Phase Pre-Model Modeled Deaths Tests USA projection as of 2020-07-31 Mother'sDay MemorialDay July4th July15,2020 0 20,000 40,000 60,000 80,000 0 1,000 2,000 3,000 4,000 Cases/Day Deaths/Day Cases: 4,494,601 (67,619) -- Deaths: 152,055 (1,233) -- Case Mortality: 3.4% -- Daily Change: +0.0% Cases, +3.0% Deaths 2020-07-31 Summary: 4
  • 5. Japan, South Korea, Thailand, Vietnam 76,894 1,422 1 10 100 1,000 10,000 100,000 1,000,000 10,000,000 100,000,000 Actual(points)/Predicted(line) Phase Pre-Model Modeled Deaths Tests Japan, South Korea, Thailand, Vietnam projection as of 2020-07-31 0 500 1,000 1,500 2,000 0 25 50 75 100 Cases/Day Deaths/Day Cases: 53,262 (1,854) -- Deaths: 1,366 (7) -- Case Mortality: 2.6% -- Daily Change: +7.3% Cases, +4.8% Deaths 2020-07-31 Summary: 5
  • 6. Western Europe 1,565,213 170,471 1 10 100 1,000 10,000 100,000 1,000,000 10,000,000 100,000,000 Actual(points)/Predicted(line) Phase Pre-Model Modeled Deaths Tests Western Europe projection as of 2020-07-31 0 20,000 40,000 60,000 80,000 0 1,000 2,000 3,000 4,000 Cases/Day Deaths/Day Cases: 1,452,642 (7,827) -- Deaths: 167,094 (73) -- Case Mortality: 11.5% -- Daily Change: +4.4% Cases, -1.5% Deaths 2020-07-31 Summary: 6
  • 7. Ukraine 97,921 2,374 1 10 100 1,000 10,000 100,000 1,000,000 10,000,000 100,000,000 Actual(points)/Predicted(line) Phase Pre-Model Modeled Deaths Tests Ukraine projection as of 2020-07-31 0 500 1,000 0 20 40 60 Cases/Day Deaths/Day Cases: 70,300 (1,222) -- Deaths: 1,697 (24) -- Case Mortality: 2.4% -- Daily Change: +2.9% Cases, +1.7% Deaths 2020-07-31 Summary: 7
  • 9. Worldwide cases per million CHL USA PER BRA ZAF SAU ESP COL RUS KAZ GBR IRN ARG ITA IRQ MEX FRA CAN NLD TUR DEU ROU PAK UKR BGD GHA IND AFG POL EGY CMR DZA PHL UZB AUS CIV NPL MAR VEN MDG KEN SDN IDN MYS KOR NGA JPN ETH LKA COD MOZ NER YEM BFA CHN THA SYR UGA TWN TZA MMR VNM USA 0 5,000 10,000 15,000 20,000 1 6 11 16 21 26 31 36 41 46 51 56 61 Rank Totalcasestodatepermillion Worldwide cases per million ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia 2020-07-31 Summary: 9
  • 10. Average daily cases per capita over past 7 days BRA ZAF USA COL PER ARG CHL KAZ IRQ SAU MEX ESP ROU IND RUS IRN GHA UZB UKR VEN AUS MAR DZA BGD PHL KEN MDG CAN FRA NLD GBR POL TUR DEU JPN IDN CIV ETH NPL EGY PAK CMR ITA NGA AFG MOZ SDN SYR KOR COD MYS YEM LKA BFA UGA CHN VNM NER THA TWN MMR TZA USA 0 100 200 300 1 6 11 16 21 26 31 36 41 46 51 56 61 Rank Averagenewcasespercapita Average daily cases per capita over past 7 days ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia 2020-07-31 Summary: 10
  • 12. Worldwide deaths per million GBR ESP PER ITA CHL FRA USA BRA MEX NLD CAN IRN COL ZAF IRQ DEU ROU SAU RUS ARG TUR EGY KAZ AFG POL UKR DZA PAK IND SDN IDN CMR YEM PHL BGD MAR AUS KEN JPN GHA KOR VEN NGA MDG UZB CIV MYS NER CHN BFA COD ETH SYR NPL THA LKA MOZ TZA TWN MMR UGA VNM USA 0 200 400 600 800 1 6 11 16 21 26 31 36 41 46 51 56 61 Rank Totaldeathstodatepermillion Worldwide deaths per million ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia 2020-07-31 Summary: 12
  • 13. Average daily deaths per capita over past 7 days PER COL MEX BRA CHL ZAF USA IRN ARG IRQ KAZ ROU GBR SAU RUS IND EGY UKR AUS AFG DZA IDN BGD CAN MAR MDG POL TUR KEN UZB VEN PAK YEM PHL FRA GHA ETH ITA SDN DEU NLD CMR SYR NGA ESP NPL CIV COD JPN KOR UGA MYS CHN BFA MOZ MMR NER LKA TWN TZA THA VNM USA 0 10 20 1 6 11 16 21 26 31 36 41 46 51 56 61 Rank Averagenewdeathspercapita Average daily deaths per capita over past 7 days ZAF: South Africa, SAU: Saudi Arabia, PER: Peru, COL: Columbia 2020-07-31 Summary: 13
  • 14. Case Mortality vs. Testing LUX AREBHR MLT DNK ISL RUS LTU ISR QAT USA AUS PRT MDV BLR GBR IRL KWT ITA SGP BEL LVA CAN KAZ AUT SRB DEU NZL ESP SAU CHE EST CHLNOR CZE FIN SVN ROU POL NLD TUR GRC PAN ZAF SVK BGR SLV HUN MAR KOR MYS IRN HRVURY COL UKR CUB RWA PRYCRI IND ARG GHA PHL BOLBRA NPL PER ECU PAK TUN FJI BGD SEN MEX JPN THAKEN TGO ZWE CIV TWN IDN ETH VNM MMR NGA USA 0 5 10 15 0 20 40 60 % Tested %CaseMortality Case Mortality vs. Testing as of 2020-07-31 ARE: United Arab Emirates, BHR:Bahrain, MLT: Malta, ISR: Israel, LTU: Lithuania, ISL: Iceland 2020-07-31 Summary: 14
  • 15. Mortality Trends 0 2 4 6 8 10 12 14 CaseRateMortality Mortality Type: 13 day rolling median Cumulative Daily Raw Daily vs. Cumulative Case Rate Mortality Last week excluded because deaths are often backdated 2020-07-31 Summary: 15
  • 16. Change in New Cases per Day New cases are: Increasing > +3% Increasing between +1% and +3% No Change (-1% to +1%) Decreasing between -1% and -3% Decreasing > -3% New cases by state as of 2020-07-31 2020-07-31 Summary: 16
  • 17. Cases as a Percent of Peak Cases HI TX FL OK LA MS AL GA AZ NM KS AR TN NC SC DC CA UT CO NE MO KY WV VA MD DE OR NV WY SD IA IN OH PA NJ CT RI WA ID MT ND MN IL MI NY MA WI VT NH AK ME 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 PercentofPeak Daily Cases as a Percent of Peak Cases 2020-07-31 Summary: 17
  • 18. Change in New Deaths per Day New deaths are: Increasing > +0.5% Increasing between +0.1% and +0.5% No Change (-0.1% to +0.1%) Decreasing between -0.1% and -0.5% Decreasing > -0.5% New deaths by state as of 2020-07-31 2020-07-31 Summary: 18
  • 19. Deaths as a Percent of Peak Deaths HI TX FL OK LA MS AL GA AZ NM KS AR TN NC SC DC CA UT CO NE MO KY WV VA MD DE OR NV WY SD IA IN OH PA NJ CT RI WA ID MT ND MN IL MI NY MA WI VT NH AK ME 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 PercentofPeak Daily Deaths as a Percent of Peak Deaths 2020-07-31 Summary: 19
  • 20. Total US COVID-19 Cases CA FL TX NY GA NJ IL AZ NC MA PA LA TN MI OH VA SC MD AL IN MS WA MN WI CT MO NV CO IA AR UT OK KY KS NE NM ID RI OR DE DC SD NH WV ND ME MT AK WY HI VT 0 100,000 200,000 300,000 400,000 500,000 1 6 11 16 21 26 31 36 41 46 51 Rank Totalcases Masks No Yes Governor aa Democratic Republican Total US COVID-19 Cases p masks: 0.33, p governor: 0.61. NB: association != causation. 2020-07-31 Summary: 20
  • 21. Total US COVID-19 Cases per Million LA AZ FL NY NJ MS RI AL GA DC SC MA NV DE TN TX MD IL IA CT AR NE CA UT NC ID VA SD NM IN MN KS PA OK MI WI ND CO MO OH WA KY NH WY OR AK MT WV ME VT HI 0 10,000 20,000 1 6 11 16 21 26 31 36 41 46 51 Rank TotalCasesperMillion Masks No Yes Governor aa Democratic Republican Total US COVID-19 Cases per Million p masks: 0.59, p governor: 0.46. NB: association != causation. 2020-07-31 Summary: 21
  • 22. Average US COVID-19 cases over the past 7 days FL MS LA AL GA AZ TN NV SC TX ID AR OK MO CA NC IA UT WI ND NM NE KS MD KY AK MN VA IN MT OH DE IL WA RI CO DC WY SD OR WV MI PA CT HI NJ MA NY NH ME VT 0 100 200 300 400 500 1 6 11 16 21 26 31 36 41 46 51 Rank DailyCasesperMillion Masks No Yes Governor aa Democratic Republican Average US COVID-19 cases over the past 7 days p masks: 0.022, p governor: 0.01. NB: association != causation. 2020-07-31 Summary: 22
  • 23. Total US COVID-19 Deaths NY NJ CA MA IL PA FL MI TX CT LA GA AZ MD OH IN VA NC CO SC MN MS AL WA MO TN RI WI IA NV KY NM DC DE OK AR NH KS NE OR UT ID SD ME WV ND VT MT HI WY AK 0 10,000 20,000 30,000 1 6 11 16 21 26 31 36 41 46 51 Rank TotalDeathsperMillion Masks No Yes Governor aa Democratic Republican Total US COVID-19 Deaths p masks: 0.047, p governor: 0.13. NB: association != causation. 2020-07-31 Summary: 23
  • 24. Total US COVID-19 Deaths per Million NJ NY MA CT RI LA DC MI IL DE MD PA MS AZ IN GA SC AL CO FL NH NM OH MN IA NV VA CA TX WA MO NC NE KY WI TN AR SD OK ND KS ID UT VT ME OR WV MT WY AK HI 0 500 1,000 1,500 1 6 11 16 21 26 31 36 41 46 51 Rank TotalDeathsperMillion Masks No Yes Governor aa Democratic Republican Total US COVID-19 Deaths per Million p masks: 0.036, p governor: 0.13. NB: association != causation. 2020-07-31 Summary: 24
  • 25. Average US COVID-19 deaths over the past 7 days AZ SC TX MS FL DE LA AL GA NV CA ID TN NM AR NC OH MA IA OK MO MD WA UT KS IN MT KY SD OR VA IL NJ NH RI WI ND PA CO NE MN CT NY WV DC MI AK ME WY VT HI 0.0 3.0 6.0 9.0 12.0 1 6 11 16 21 26 31 36 41 46 51 Rank DailydeathsperMillion Masks No Yes Governor aa Democratic Republican Average US COVID-19 deaths over the past 7 days p masks: 0.49, p governor: 0.066. NB: association != causation. 2020-07-31 Summary: 25
  • 26. Percent Tested AK NY LA NM DC NJ CT TN IL ND CA RI DE MI MN MA FL AR NC UT WI MT OK WV MS NV VT IA MD GA AL NE SC KY VA WA SD TX AZ OH ME NH MO IN ID KS OR PA WY CO HI 0 10 20 30 1 6 11 16 21 26 31 36 41 46 51 Rank PercentTested Masks No Yes Governor aa Democratic Republican Percent Tested p masks: 0.15, p governor: 0.27. NB: association != causation. 2020-07-31 Summary: 26
  • 27. Positive fraction trends HI TX FL OK LA MS AL GA AZ NM KS AR TN NC SC DC CA UT CO NE MO KY WV VA MD DE OR NV WY SD IA IN OH PA NJ CT RI WA ID MT ND MN IL MI NY MA WI VT NH AK ME min max min max min max min max min max min max min max min max Fractionpositivefrommintomax Positive fraction trends from min to max 2020-07-31 Summary: 27
  • 28. Hospitalizations trends HI TX FL OK LA MS AL GA AZ NM KS AR TN NC SC DC CA UT CO NE MO KY WV VA MD DE OR NV WY SD IA IN OH PA NJ CT RI WA ID MT ND MN IL MI NY MA WI VT NH AK ME min max min max min max min max min max min max min max min max Hospitalizationsfrommintomax Hospitalizations trends from min to max 2020-07-31 Summary: 28
  • 29. Case Mortality vs. Testing AL AK AZ AR CA CO CT DE DC FL GA HI ID IL IN IA KS KY LA ME MD MA MI MN MS MO MT NE NV NH NJ NM NY NC ND OH OK OR PA RI SC SD TN TX UT VT VA WA WVWI WY 2.5 5.0 7.5 10 15 20 25 30 % Tested %Mortality Mortality vs. Testing as of 2020-07-31 2020-07-31 Summary: 29