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. 2020 Oct 29;8(6):1467–1474. doi: 10.1007/s40615-020-00909-1

Table 2.

Negative binomial regression models of the relationship between the percentage of the population that is Black and the COVID-19 cases in Oakland County, MI (n = 70)

Bivariate analysis Full model Reduced model PCA model
IRR (95% CI) p value IRR (95% CI) p value IRR (95% CI) p value IRR (95% CI) p value
Black (%)

1.03

(1.02 to 1.04)

< 0.0001

1.02

(1.01 to 1.03)

0.0001

1.03

(1.02 to 1.04)

< 0.0001

1.03

(1.02 to 1.04)

< 0.0001
Median age (years)

1.00

(0.95 to 1.04)

0.8415

1.03

(0.99 to 1.08)

0.1005

1.02

(0.98 to 1.06)

0.3141

1.02

(0.98 to 1.06)

0.3258
Persons per household (n)

0.26

(0.13 to 0.5)

0.0001

0.73

(0.35 to 1.52)

0.402

0.48

(0.27 to 0.85)

0.0114

0.45

(0.25 to 0.81)

0.0073
Drove alone to work (%)

0.95

(0.91 to 1.01)

0.0806

1.03

(0.96 to 1.11)

0.4279

0.99

(0.94 to 1.04)

0.5915

0.98

(0.93 to 1.04)

0.5366
Have a bachelor’s degree or higher (%)

0.99

(0.98 to 1.01)

0.3536

1.03

(1 to 1.05)

0.0213

1.01

(1 to 1.02)

0.0804 n.i.
Median family income (US$)

0.78

(0.65 to 0.93)

0.0069

0.76

(0.5 to 1.17)

0.2131 n.i. n.i.
Population below poverty line (%)

1.05

(1.02 to 1.08)

0.0006

1.04

(0.99 to 1.11)

0.1381 n.i. n.i.
Wealth (PCA) score

1.15

(1.02 to 1.28)

0.0193 n.i. n.i.

0.92

(0.82 to 1.04)

0.2072
Fit statistics
  LR test p value N/A Reference 0.0955 0.0955
  AIC N/A 736.90 736.23 737.60

Case counts include those that ended in deaths. Population size was used as offset in the model. AIC Akaike information criterion, CI confidence interval, IRR incidence rate ratio, LR likelihood ratio, n.i. not included, PCA principal component analysis