|
% of death in LTCF |
Case Mortality in LTCF |
Case Mortality in County |
% over 66 |
% Rural |
Median Household Income |
% of
death in LTCF |
1.00 |
|||||
Case
Mortality in LTCF |
0.38 |
1.00 |
||||
Case Mortality
in County |
0.02 |
0.26 |
1.00 |
|||
%
over 66 |
-0.19 |
-0.30 |
0.33 |
1.00 |
||
%
Rural |
-0.13 |
-0.21 |
0.11 |
0.62 |
1.00 |
|
Median
Household Income |
0.15 |
0.38 |
-0.12 |
-0.48 |
-0.49 |
1.00 |
Two weeks ago I looked at the correlation between the percentage of residents over the age of 66 in the county with the percentage of total county deaths in a nursing home and the case mortality rate in the nursing home. This week I'm looking at the the additional variables of the % of the county in a rural area and the median household income in the county. Of these, the relationship between case mortality and median income was the strongest accounting for 14.9% of the variability in the rates.
While this is a relatively weak (though significant) positive correlation there is a stronger correlation between that may moderate this relationship. There a stronger relationship between % rural and % over the age of 66 of 0.62 (seen below). Both of these have a relatively strong negative correlation of -0.49 and -0.48 with median household income respectively.
The % over the age of 66 has a stronger positive correlation with the case mortality in the county (0.33) that it does with case mortality in a nursing home (LTCF) (-0.30 which is smaller in absolute value than 0.33). This suggests that the elderly who live in more rural counties are more likely to die outside of a nursing home from corona virus. The more rural and more elderly counties are also more likely to have lower incomes.