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

TitleUsing sero-epidemiology to monitor disparities in vaccination and infection with SARS-CoV-2.
Publication TypeJournal Article
Year of Publication2022
AuthorsRoutledge, 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
JournalNat Commun
Volume13
Issue1
Pagination2451
Date Published2022 May 04
ISSN2041-1723
KeywordsBayes 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.

DOI10.1038/s41467-022-30051-x
Alternate JournalNat Commun
PubMed ID35508478
PubMed Central IDPMC9068757
Grant ListK23 AI076614 / AI / NIAID NIH HHS / United States
K24 AG046372 / AG / NIA NIH HHS / United States
K24 AI144048 / AI / NIAID NIH HHS / United States