Table 1 Sample characteristics.
From: Using sero-epidemiology to monitor disparities in vaccination and infection with SARS-CoV-2
N | % | SF Population (ACS 2019) | |
|---|---|---|---|
Age | |||
0–17 | 21 | 2.10% | 13.40% |
18–34 | 157 | 15.50% | 30.60% |
35–64 | 442 | 43.60% | 40.60% |
65+ | 393 | 38.80% | 15.40% |
Unknown | 1 | 0.10% | N/A |
Sex | |||
Female | 509 | 50.20% | 49.30% |
Male | 504 | 49.70% | 50.70% |
Unknown | 1 | 0.10% | N/A |
Hospital | |||
University of California San Francisco (UCSF) Health | 698 | 68.80% | N/A |
Zuckerberg San Francisco General Hospital (ZSFG)/San Francisco Department of Public Health (SFDPH) | 316 | 31.20% | N/A |
Race/Ethnicity | |||
Asian | 282 | 27.80% | 34.60% |
Black/African American | 115 | 11.30% | 5.20% |
Hispanic/Latinx | 175 | 17.30% | 15.20% |
Other | 75 | 7.40% | 5.20% |
White | 367 | 36.20% | 39.80% |
