These are graph and stats on age and Covid19 US deaths from the CDC as of April 28, 2020 from weeks 2/1/2020 - 4/25/2020. The CDC repository depends on death certificates. There are delay in recording. My code is here. Density plots are from R density function. I am not quite sure why COVID19.Deaths, Pneumonia.Deaths, All. Deaths line up like stackable objects when portrayed by default R density plotting. There are very high positive correlations between those three death measures as defined by Age Groups. Click to enlarge the charts and screenshots.
ByAgeChart:
Covid19 and all Pneumonia Deaths 2/1 - 4/25/2020 by Age Groups 1 : 10 from table above. |
Correlations:
# R correlation coefficient ( 1 to -1)
Covid19.Deaths Pneum.Deaths All.Deaths
Covid19.Deaths 1.00000 0.99805 0.99605
Pneum.Deaths 0.99805 1.00000 0.99801
All.Deaths 0.99605 0.99801 1.00000
# Hmisc::rcorr gives P values with correlation table
ByAgeChart[,rcorr(cbind(Covid19.Deaths,Pneum.Deaths,All.Deaths))]
Covid19.Deaths Pneum.Deaths All.Deaths
Covid19.Deaths 1 1 1
Pneum.Deaths 1 1 1
All.Deaths 1 1 1
n= 10
P
Covid19.Deaths Pneum.Deaths All.Deaths
Covid19.Deaths 0 0
Pneum.Deaths 0 0
All.Deaths 0 0
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