Table 2.
Variable | OR | 95% CI | P|>|0 |
---|---|---|---|
Sex (Male) | 1.43 | 1.30–1.58 | 1.00 |
Race (Asian) | 1.35 | 0.97–1.83 | .96 |
Race (Black) | 1.47 | 1.27–1.70 | 1.00 |
Race (Multiracial) | 2.23 | 1.81–2.73 | 1.00 |
Race (Native American) | 0.91 | 0.33–2.16 | .44 |
Race (Other) | 2.21 | 1.78–2.74 | 1.00 |
Race (Unavailable) | 2.68 | 2.13–3.36 | 1.00 |
Ethnicity (Hispanic) | 4.25 | 3.55–5.12 | 1.00 |
Ethnicity (Unavailable) | 1.59 | 1.23–2.06 | 1.00 |
Area Deprivation Index | 1.05 | 0.96–1.05 | .86 |
Average Household Size | 0.97 | 0.90–1.05 | .27 |
Percent Black Population | 1.14 | 1.05–1.25 | 1.00 |
Percent Hispanic Population | 1.23 | 1.07–1.41 | 1.00 |
Population Density | 1.03 | 0.93–1.13 | .71 |
Abbreviations: CI, credible interval; COVID-19, coronavirus disease 2019; OR, odds ratio.
aFor this bayesian model, 95% CI represents the 95% posterior credible interval, and P|>|0 is the probability that a given independent variable will have a nonzero influence on the OR of a positive COVID-19 test result.