Background
We characterized SARS-CoV-2 antibody test prevalence and positive test prevalence across New York City (NYC) in order to investigate disparities in testing outcomes by race and socioeconomic status (SES).
Methods
Serologic data were downloaded from the NYC Coronavirus data repository (August 2020–December 2020). Area-level characteristics for NYC neighborhoods were downloaded from U.S. census data and a socioeconomic vulnerability index was created. Spatial generalized linear mixed models were performed to examine the association between SES and antibody testing and positivity.
Results
The proportion of Hispanic population (Posterior Median: 0.001, 95% Credible Interval: 0.0003-0.002), healthcare workers (0.003, 0.0001-0.006), essential workers (0.003, 0.001-0.005), age ≥ 65 years (0.003, 0.00002-0.006), and high SES (SES quartile 3 vs 1: 0.034, 0.003-0.062) were positively associated with antibody tests per 100,000 residents. The White proportion (-0.002, -0.003- -0.001), SES index (quartile 3 vs 1: -0.068, -0.115- -0.017; quartile 4 vs 1: -0.077- -0.134, -0.018) and age ≥ 65 years (-0.005, -0.009- -0.002) were inversely associated with positivity, whereas the Hispanic (0.004, 0.002-0.006), and essential worker proportions (0.008, 0.003-0.012) had positive coefficients.
Conclusions
Disparities in serologic testing and seropositivity exist on socioeconomic status and race/ethnicity across NYC, indicative of excess COVID-19 burden in vulnerable and marginalized populations.