Title | Using sero-epidemiology to monitor disparities in vaccination and infection with SARS-CoV-2. |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Routledge, I, Takahashi, S, Epstein, A, Hakim, J, Janson, O, Turcios, K, Vinden, J, Risos, JTomas, Baniqued, MRose, Pham, L, Di Germanio, C, Busch, M, Kushel, M, Greenhouse, B, Rodríguez-Barraquer, I |
Journal | Nat Commun |
Volume | 13 |
Issue | 1 |
Pagination | 2451 |
Date Published | 2022 May 04 |
ISSN | 2041-1723 |
Keywords | Bayes Theorem, COVID-19, Cross-Sectional Studies, Humans, SARS-CoV-2, Vaccination, Vaccination Coverage |
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. |
DOI | 10.1038/s41467-022-30051-x |
Alternate Journal | Nat Commun |
PubMed ID | 35508478 |
PubMed Central ID | PMC9068757 |
Grant List | K23 AI076614 / AI / NIAID NIH HHS / United States K24 AG046372 / AG / NIA NIH HHS / United States K24 AI144048 / AI / NIAID NIH HHS / United States |