Using sero-epidemiology to monitor disparities in vaccination and infection with SARS-CoV-2

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Abstract

As SARS-CoV-2 continues to spread and vaccines are rolled-out, the “double burden” of disparities in exposure and vaccination intersect to determine patterns of infection, immunity, and mortality. Serology provides a unique opportunity to measure prior infection and vaccination simultaneously. Leveraging algorithmically-selected residual sera from two hospital networks in the city of San Francisco, cross-sectional samples from 1,014 individuals from February 4–17, 2021 were each tested on two assays (Ortho Clinical Diagnostics VITROS Anti-SARS-CoV-2 and Roche Elecsys Anti-SARS-CoV-2), capturing the first year of the epidemic and early roll-out of vaccination. We estimated, using Bayesian estimation of infection and vaccination, that infection risk of Hispanic/Latinx residents was five times greater than of White residents aged 18–64 (95% Credible Interval (CrI): 3.2–10.3), and that White residents over 65 were twice as likely to be vaccinated as Black/African American residents (95% CrI: 1.1–4.6). We found that socioeconomically-deprived zipcodes had higher infection probabilities and lower vaccination coverage than wealthier zipcodes. While vaccination has created a ‘light at the end of the tunnel’ for this pandemic, ongoing challenges in achieving and maintaining equity must also be considered.

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Routledge, I., Takahashi, S., Epstein, A., Hakim, J., Janson, O., Turcios, K., … Rodríguez-Barraquer, I. (2022). Using sero-epidemiology to monitor disparities in vaccination and infection with SARS-CoV-2. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-30051-x

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