Death Distr.

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Deaths as % of 55 and older population is loosley correlated to 55 and older population density. Other variables likely to be important are use of mass transit; # of international passengers; prevalence of multi-generational households, and distribution of pre-conditions like coronary, diabetes, and asthma issues (these in turn are likely correlated with socio-economic variables and regional differences in diet etc.)

3-day Case Growth

Updated on: 10/16/2020

Wk over Wk Death Growth

Updated on: 10/16/2020

%Pos/New Tests

Updated on: 10/16/2020

Spread Timing

Updated on: 10/16/2020

Age Distr.

Updated on: 10/16/2020

Deaths, Implied Cases, and Age Distribution

Cumulative Covid deaths as of 10-16-2020: 218,233

Current IHME Univ of Washington Model mean estimate for projected cumulative total deaths: 389,087. Estimate range: 358,386 - 415,084.

Normal annual US total deaths all causes is 2,866,909 (i.e., 7,855 per day) Source: US Census Pop Clock. In 2018, 2.62% of the population aged 55 and older died. If the mean Univ of Washington forecast for Covid deaths proves correct and those deaths are added to 2018’s numbers, 3.01% of the 55 and older population would have died (assuming no offset from lower accidents, other infectious diseases, workplace accidents etc. from the shelter in place policies).

CDC weekly death data through October 3rd show total deaths from all causes has increased in 2020 (see graph below) – and may increase more as 2020 data is incomplete due to lags in reporting. Through Week 39 of 2020, there have been 2,371,107 deaths from all causes. That is 247,534 more than the same period in 2019 or 12% more. It is 246,931 (12% more) than the same period in 2018 (a bad flu year).

Implied number of cases from which currently reported total deaths came using estimates from a preliminary CDC paper: 7,564,575. Early CDC estimates are 13 days from Covid confirmation to death; Univ. WA estimates indicate shorter period of 6 days from hospitization to death. The reported number of cases from 13 days ago was: 7,341,303, reprted number 6 days ago: 7,676,683.

Using today’s reported cases (but that number will grow) of 8,012,739 and the CDC paper relationship between cases and deaths would imply a future cumulative number of deaths of 231,162. These relationships suggest that the actual number of Covid cases has been significantly higher than the number confirmed by tests and/or the actual death rates and/or time between Covid confirmation and death have been different than preliminary CDC estimates.

Implied number of cases consistent with CDC paper for IHME Univ. Washington estimate for projected total deaths: 13,486,876

Implied number of cases from Kinsa thermometer data is approximately 7,944,000 if you assume maximum 2.67% of excess influenza-like diseases are attributable to Covid (Kinsa data is missing for many sparsely populated counties however).

Age Grp to: CasesCDCpaper midDeathRateCDCpaper 2018AnnAC CurrRepDeathEst CurrAnnzedPct2018 uWAprojMean uWAPct2018 currImpCases uWaImpCases
19 123 0.00% 30,747 0 0.00% 0 0.00% 360,846 643,352
44 705 0.15% 169,378 3,266 1.93% 5,824 3.44% 2,177,635 3,882,504
54 429 0.65% 164,837 8,613 5.23% 15,357 9.32% 1,325,114 2,362,545
64 429 2.00% 374,836 26,502 7.07% 47,251 12.61% 1,325,114 2,362,545
74 409 3.80% 543,778 48,007 8.83% 85,591 15.74% 1,263,337 2,252,403
84 210 7.40% 675,205 48,001 7.11% 85,580 12.67% 648,657 1,156,490
85+ 144 18.85% 880,280 83,844 9.52% 149,485 16.98% 444,794 793,022

2018 Annual US death by age from all causes from CDC WONDER. Covid death/case distribution by age based on CDC paper.

CasesCDCpaper = Covid cases by age reported in the preliminary CDC paper referenced above.

midDeathRateCDCpaper is the midpoint of the upper and lower death rates estimated in the CDC paper.

2018AnnAC = US 2018 data on all deaths from all causes by age group from CDC WONDER.

CurrRepDeathEst = Estimated age distribution of currently reported Covid deaths calculated based on midDeathRateCDCpaper and CasesCDCpaper distributions.

CurrAnnzedPct2018 = CurrRepDeathEst annualized (365/days elapsed in 2020) as a percent of 2018AnnAC

uWAprojMean = Mean projection from University of Washington model cited above for ultimate number of US Covid deaths distributed by age group based on the midDeathRateCDCpaper and CasesCDCpaper distributions..

uWAPct2018 = uWAprojMean as a percent of 2018AnnAc (2018 total deaths from all causes by age group)

currImpCases = CurrRepDeathEst/midDeathRateCDCpapaer. This is the inferred population of cases consistent with reported deaths to date and the mid point of the death rate range reported in the CDC paper. Value for 19 years and younger age group inferred from CasesCDCpaper.

uWaImpCases = uWAprojMean/midDeathRateCDCpapaer. This is the inferred population of cases consistent with reported deaths to date and the mid point of the death rate range reported in the CDC paper. Value for 19 years and younger age group inferred from CasesCDCpaper.

Cnty Data

Updated on: 10/16/2020

Top10Counties

Updated on: 10/16/2020

The top 10 counties ranked by Covid deaths account for 22.1% of total US Covid deaths and 15.2% total confirmed Covid cases, despite only accounting for 10.12% of the total US population 55 years and older. 1.4% of the population aged 55 and older lives in counties with no reported Covid deaths; 28.3% live in counties with 50 or fewer reported Covid deaths.

Top 10 Counties Based On Total Covid Deaths
County State Conf. Cases Deaths Pop55AndOver Death%Pop54+ PopPerSqMi Cum%TotCovDeath Cum%TotCovCases Cum%TotPop54+
Kings New York 72,598 7,365 646,992 1.14% 36,470 3.4% 0.9% 0.68%
Queens New York 74,798 7,282 658,605 1.11% 20,998 6.8% 1.9% 1.38%
Los Angeles California 287,222 6,855 2,587,448 0.26% 2,490 9.9% 5.5% 4.12%
Cook Illinois 160,645 5,339 1,397,116 0.38% 5,480 12.4% 7.5% 5.60%
Bronx New York 54,198 4,973 344,263 1.44% 34,017 14.7% 8.2% 5.96%
Miami-Dade Florida 177,339 3,520 792,811 0.44% 1,455 16.3% 10.5% 6.80%
Maricopa Arizona 148,612 3,500 1,179,249 0.30% 479 17.9% 12.3% 8.05%
New York New York 34,735 3,188 453,350 0.70% 71,340 19.4% 12.8% 8.53%
Wayne Michigan 37,951 3,017 503,945 0.60% 2,865 20.8% 13.2% 9.06%
Harris Texas 153,571 2,718 998,728 0.27% 2,758 22.1% 15.2% 10.12%

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Note

For comparison purposes regarding the quantiles listed below, normal annual deaths from all causes per 100,000 people for those aged 55 years and older is 2,700. The table can be read as follows: 80% of the US population aged 55 and older lives in counties where there have been 306 or fewer Covid Deaths per 100,000 people aged 55 and older.

Table

quantile 54+ Pop Covid Deaths Per 100,000 of 54+ Pop
0% 0
10% 45
20% 76
30% 107
40% 142
50% 174
60% 214
70% 265
80% 306
85% 382
90% 459
95% 599
100% 1,600

NY

Updated on: 10/17/2020

IHME Univ of Washington Model mean predicted max daily deaths: **** on ****. Mean predicted daily # for 2020-10-17: 12.

CA

Updated on: 10/17/2020

IHME Univ of Washington Model mean predicted max daily deaths: **** on ****. Mean predicted daily # for 2020-10-17: 59.

FL

Updated on: 10/17/2020

IHME Univ of Washington Model mean predicted max daily deaths: **** on ****. Mean predicted daily # for 2020-10-17: 94.

WA

Updated on: 10/17/2020

IHME Univ of Washington Model mean predicted max daily deaths: **** on ****. Mean predicted daily # for 2020-10-17: 6.

TX

Updated on: 10/17/2020

IHME Univ of Washington Model mean predicted max daily deaths: **** on ****. Mean predicted daily # for 2020-10-17: 71.

GA

Updated on: 10/17/2020

IHME Univ of Washington Model mean predicted max daily deaths: **** on ****. Mean predicted daily # for 2020-10-17: 6, 27.

NJ

Updated on: 10/17/2020

IHME Univ of Washington Model mean predicted max daily deaths: **** on ****. Mean predicted daily # for 2020-10-17: 3.

OH

Updated on: 10/17/2020

IHME Univ of Washington Model mean predicted max daily deaths: **** on ****. Mean predicted daily # for 2020-10-17: 18.

US

Updated on: 10/17/2020

IHME Univ of Washington Model mean predicted max daily deaths: **** on ****. Mean predicted daily # for 2020-10-17: 688.

St. Data

Updated on: 10/17/2020

Testing vs. Prevalence

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Call:
lm(formula = stpw5$pctPosPop ~ stpw5$pctTestPop)

Residuals:
       Min         1Q     Median         3Q        Max 
-0.0198562 -0.0071948  0.0001672  0.0066784  0.0170486 

Coefficients:
                 Estimate Std. Error t value Pr(>|t|)    
(Intercept)      0.021763   0.003520   6.183 1.13e-07 ***
stpw5$pctTestPop 0.004102   0.009801   0.418    0.677    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 0.009042 on 50 degrees of freedom
Multiple R-squared:  0.00349,   Adjusted R-squared:  -0.01644 
F-statistic: 0.1751 on 1 and 50 DF,  p-value: 0.6774

Call: rlm(formula = stpw5$pctPosPop ~ stpw5$pctTestPop)
Residuals:
       Min         1Q     Median         3Q        Max 
-2.006e-02 -7.350e-03  1.761e-05  6.466e-03  1.686e-02 

Coefficients:
                 Value  Std. Error t value
(Intercept)      0.0220 0.0036     6.1562 
stpw5$pctTestPop 0.0038 0.0100     0.3843 

Residual standard error: 0.01051 on 50 degrees of freedom

Intl Data

Updated on: 10/16/2020

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Graphs

Notes

The log-log regression Deaths ~ population 65 and older implies doubling the population of 65 and older people results in 86% more Covid deaths. Dispersion from the regression may be related to population density, differences in the timing of infections, differences in cross-immunity or blood types (speculative), and/or mis-counting of Covid deaths.

While many countries that have high life expectancies also have low Covid death rates, it is also true that: 1. All countries with high Covid death rates also have high life expectancies 2. All countries with low life expectancies also have low Covid death rates

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Notes

Warning: sparsely populated counties can appear to have anomolously high Covid deaths as a percent of their population aged 55 and older.

deathPctge55 = Covid deaths divided by population aged 55 or older *(can be large for small counties)

dGrow3day = Growth of reported Covid deaths over last 3 days *(can be large for small counties)

cGrow3day = Growth of reported Covid cases over last 3 days *(can be large for small counties)

posPCTtotPOP = Confirmed cases/total County population

ppnTot = total positive tests/total tests

ppnNew = new positive tests/increase in total tests

pctPosPop = Confirmed cases/State population

Covid County data source = John Hopkins Daily County Level Statistics at https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_daily_reports

Over 55 population by County computed from data at: https://www.census.gov/data/tables/time-series/demo/popest/2010s-counties-detail.html

State level data source: https://covidtracking.com/

Data analysis done in R (free software).