Table 5.
Results of the univariate regression results estimating the association between each neighborhood factor and neighborhood COVID-19 burden for the Southeastern United States
| Southeast | ||||
|---|---|---|---|---|
| Florida | Louisiana | North Carolina | Virginia | |
| IRR [95% CI] | IRR [95% CI] | IRR [95% CI] | IRR [95% CI] | |
| Neighborhood characteristic | ||||
| Neighborhood affluence | ||||
| Q1 (ref.) | Ref. | Ref. | Ref. | Ref. |
| Q2 | 0.94 [0.88–1.02] | 0.99 [0.95–1.03] | 0.99 [0.96–1.03] | 1.01 [0.97–1.05] |
| Q3 | 0.89* [0.8–0.99] | 1.03 [0.98–1.07] | 0.98 [0.94–1.03] | 0.96* [0.93–1] |
| Q4 (highest affluence) | 0.9* [0.81–1] | 1.05* [1–1.11] | 0.92** [0.86–0.98] | 0.85*** [0.78–0.93] |
| Neighborhood disadvantage | ||||
| Q1 (ref.) | Ref. | Ref. | Ref. | Ref. |
| Q2 | 1.08+ [0.99–1.18] | 0.99 [0.96–1.03] | 1.07*** [1.03–1.11] | 1.1** [1.04–1.17] |
| Q3 | 1.18** [1.07–1.31] | 0.93** [0.89–0.97] | 1.09*** [1.04–1.15] | 1.2*** [1.1–1.32] |
| Q4 (highest disadvantage) | 1.33*** [1.14–1.56] | 0.96* [0.93–1] | 1.13*** [1.08–1.18] | 1.2** [1.08–1.34] |
| Neighborhood population density | 1*** [1–1] | 1 [1–1] | 1* [1–1] | 1+ [1–1] |
|
Political partisanship (% of votes cast for Republican candidates in 2018 and the six years before) |
0.87* [0.78–0.97] | 1.01 [0.99–1.02] | 1.02+ [1–1.04] | 1.04** [1.01–1.07] |
| Rural-urban commuting area codes | ||||
| Metropolitan (ref.) | Ref. | Ref. | Ref. | Ref. |
| Micropolitan | 0.92 [0.74–1.14] | 0.92* [0.86–0.99] | 1.02 [0.96–1.07] | 1.17*** [1.08–1.26] |
| Small town | 1.03 [0.85–1.26] | 0.95 [0.84–1.07] | 0.96 [0.89–1.04] | 1.12* [1.03–1.22] |
| Rural | 1.04 [0.78–1.37] | 0.81*** [0.72–0.91] | 0.94 [0.87–1.01] | 1.05 [0.96–1.15] |
+p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001.