Table 3.
Adjusted county-level predictors of COVID19 deaths
| County-level covariates | μ | 2.5% | 97.5% | |
|---|---|---|---|---|
| Sociodemographic | ||||
| Age | ||||
| Under 25 | 1.33 | (1.20 | , | 1.47) |
| 25-34 | 1.32 | (1.19 | , | 1.46) |
| 35-44 | 1.36 | (1.23 | , | 1.51) |
| 45-59 | 1.51 | (1.37 | , | 1.67) |
| 60-74 | 1.26 | (1.14 | , | 1.39) |
| 75+ | 1.65 | (1.49 | , | 1.83) |
| Estimated % of population in poverty | 1.01 | (1.01 | , | 1.02) |
| Estimated % of White population | 0.97 | (0.97 | , | 0.97) |
| Estimated % of African American population | 0.99 | (0.99 | , | 0.99) |
| Estimated % of Latino population | 1.01 | (1.01 | , | 1.02) |
|
| ||||
| Crude Mortality Rates | ||||
| Chronic Lower Respiratory Disease | 0.99 | (0.99 | , | 0.99) |
| Diabetes Mellitus | 1.00 | (0.99 | , | 1.00) |
| Hypertension | 1.00 | (1.00 | , | 1.01) |
| Ischemic Heart Disease | 1.00 | (1.00 | , | 1.00) |
|
| ||||
| Environment | ||||
| Long-term exposure to PM2.5 | 1.13 | (1.11 | 1.14) | |
| Connectivity risk | ||||
| No airport/highway | Ref | Ref | Ref | |
| Crossed by a highway | 1.06 | (1.00 | , | 1.12) |
| Next to airport | 1.16 | (1.10 | , | 1.22) |
| Has an airport | 1.18 | (1.12 | , | 1.24) |
|
| ||||
| CI, 95% credible interval | Bayesian R2 with SE 0.953 [0.001] |
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