Table 1.
Variable | Mean (SD)a |
---|---|
County-level outcome variables | |
COVID-19 incidence per 100 000 population | |
March | 42.7 (124.7) |
April | 299.3 (583.2) |
May | 252.8 (570.5) |
June | 392.2 (722.6) |
July | 995.3 (1831.8) |
August | 989.0 (1359.1) |
COVID-19 case-fatality rates per 100 000 population | |
March | 2557.0 (9546.8) |
April | 4470.3 (4421.0) |
May | 5120.0 (7261.9) |
June | 3555.7 (5980.4) |
July | 1370.1 (1567.3) |
August | 2947.3 (2266.2) |
County-level independent variables | |
Rurality, no. (%) | |
Nonrural | 41 (25.8) |
Rural | 118 (74.2) |
Percentage male | 49.6 (3.2) |
Gini index 2014-2018, %b | 19.7 (6.8) |
Population density per 100 000 population | 200.5 (378.0) |
Health rankings quartiles, no. (%) of countiesc | |
0%-25% | 40 (25.1) |
26%-50% | 40 (25.1) |
51%-75% | 39 (24.5) |
76%-100% | 40 (25.1) |
aAll values are mean (SD) unless otherwise indicated.
bThe Gini index is a summary measure that quantifies economic inequality on a numerical scale ranging from 0 (complete equality) to 1 (complete inequality).12 Data are reported as Gini index x 100.
cIncludes the following: length of life, quality of life, health behaviors, clinical care, social and economic factors, and physical environment. Rankings were classified such that quartile 0%-25% represents counties ranking most favorably of all quartiles for the measure of interest and quartile 76%-100% represents counties demonstrating the worst outcomes for the measure of interest.7