Table 1 COVID-19 case, mortality, and case fatality rates by demographic characteristics.

From: Implementation of SARS-CoV-2 genomic surveillance during the COVID-19 pandemic through an academic–public health collaboration in southeast Michigan

 

Cases

Deaths

Case fatality

Characteristics

N = 4583

Rate per 10 K

95% CI

N = 166

Rate per 10 K

95% CI

%

95% CI

Overall

4583

8.0

(7.77, 8.23)

166

2.90

(2.50, 3.40)

3.62

(3.12, 4.20)

Age group

 < 20

569

4.05

(4.05, 4.07)

1

0.01

(0.01, 0.03)

0.18

(0.03, 0.99)

 20–49

1,532

6.97

(6.97, 6.99)

9

0.04

(0.04, 0.06)

0.59

(0.31, 1.11)

 50–64

1,122

9.38

(9.38, 9.41)

30

0.25

(0.25, 0.28)

2.67

(1.83, 3.79)

 65–74

711

13.09

(13.08, 13.14)

44

0.81

(0.81, 0.87)

6.19

(4.64, 8.21)

 75+

649

16.76

(15.52, 18.10)

82

2.12

(2.11, 2.20)

12.63

(10.3, 15.41)

Biological sex

 Female

2,631

8.97

(8.63, 9.31)

73

0.25

(0.20, 0.31)

2.77

(2.21, 3.47)

 Male

1,952

6.99

(6.68, 7.30)

93

0.33

(0.27, 0.41)

4.76

(3.90, 5.80)

Race

 White

2,541

9.1

(8.75, 9.46)

99

0.24

(0.20, 0.29)

3.90

(3.21, 4.72)

 Black

1,374

12.41

(11.77, 13.08)

55

0.50

(0.38, 0.65)

4.00

(3.09, 5.17)

 Other

199

4.12

(3.59, 4.74)

2

0.04

(0.01, 0.15)

1.01

(0.28, 3.59)

 Unknown

        

Hispanic Ethnicity

189

71.5

(6.20, 8.25)

4

0.15

(0.06, 0.39)

2.12

(0.83, 5.31)

  1. *Case and mortality rates are calculated using American Community Survey (2015–2019) population denominators for observed ZIP codes in the sample (N = 5,728,013 individuals). For each demographic variable we retained ZCTA-specific estimates for ZIP codes observed in COVID-19 sequencing data. Case fatality rates are calculated by dividing numerators of total deaths divided by denominators of total cases. 95% confidence intervals (CI) using Wilson Score method.
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