We generated crude and modified odds ratios (ORs) to describe disparities in seroprevalence distribution among demographic and sociable factors. Results Of 16 233 IgG serum samples tested, 622 (3.8%) test results were positive for SARS-CoV-2. age, race, ethnicity, and medical role. Participants aged 32-82 experienced lower modified ORs (aORs) of positive IgG than participants aged 18-31 (aOR range, 0.54-0.66). Odds of positivity were higher among Black (aOR = 3.86), Asian (aOR = 1.42), and Noscapine mixed-race (aOR = 1.99) workers than among White colored workers; among Hispanic workers (aOR = 1.80) than among non-Hispanic workers; and among Rabbit polyclonal to LIPH coronavirus disease 2019 (COVID-19) medical workers (aOR = 1.86) than among nonclinical workers. Conclusions General public health attempts should focus on increasing COVID-19 security messaging, screening, vaccination, and additional prevention efforts for people who are young, non-White, Hispanic, and working in COVID-19Cmedical units. .05 regarded as significant. Finally, we determined logistic regressions to determine the crude ORs and modified ORs (aORs) of seroprevalence in the overall sample and in the Illinois and Wisconsin cohorts. Since the beginning of the COVID-19 pandemic in the United States, Illinois and Wisconsin experienced markedly different peaks and demographic patterns of disease; as such, we performed independent models to focus on related types of disparities in demographic characteristics and medical roles between the 2 claims. We modified all 3 logistic regressions for age quantiles, race, ethnicity, and medical role. Results Overall, participants experienced a mean (SD) age of 41.8 (12.3), and most were woman (13 890 of 16 231, 85.6%), White colored (13 500 of 15 842, 85.2%), and non-Hispanic (n = 15 265, Noscapine 94.0%); experienced a clinical part in Noscapine the health care system (n = 9308, 57.3%); and lived in Wisconsin (n = 9988, 61.5%). Of the 16 233 participants, 622 (3.8%) had a positive IgG test result (Table 1). Table 1 Demographic characteristics of health care workers at a large Midwestern health care system (N = 16 233), overall and by SARS-CoV-2 IgG-positive status, Illinois and Wisconsin, June 8CJuly 10, 2020 value b .05 was considered significant. cClinical part was classified as COVID-19Cmedical (participants working in a medical capacity on COVID-19Cdesignated units), medical (participants working in a medical capacity on nonCCOVID-19Cdesignated devices), or nonclinical (participants in nonclinical tasks such as administration and hospital support staff). Participants having a positive IgG test result were significantly more youthful than participants with a negative IgG test result (mean difference = C2.39; 95% CI, ?3.37 to ?1.40; .001; Table 1). We found a significant association between age quantiles and IgG positivity. The odds of IgG positivity were 0.46 times lesser for participants aged 32-40, 0.37 times lesser for participants aged 41-52, and 0.45 times lesser for participants aged 53-82 compared with participants aged 18-31 ( .001). We found no significant association between IgG positivity status and sex. We found a significant association between race and IgG positivity. Of 622 participants having a positive IgG test result, 10.6% were Black, 6.6% were mixed race, 5.8% were Asian, 3.6% were American Indian, and 3.1% were White colored (Table 1). In the bivariate analysis, the odds of IgG positivity were 3.65 times higher among Black participants, 1.92 times higher among Asian participants, and 2.18 times higher among mixed-race participants than among White participants ( .001). We Noscapine found no Noscapine significant variations in seropositivity between American Indian and White colored participants. Hispanic participants experienced 1.94 times higher odds of seropositivity.