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Published on: January 26, 2019
Seroprevalence of SARS-CoV-2 Antibodies in Rhode Island From a Statewide Random Sample
Philip A Chan1, Ewa King1, Yizhen Xu1
1Philip A. Chan, Ewa King, Leanne Lasher, Matt Vargas, Ken Brindamour, Richard Huard, Ailis Clyne, James McDonald, Utpala Bandy, Laura Chambers, and Nicole Alexander-Scott are with the Rhode Island Department of Health, Providence. Yizhen Xu is with the Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. William Goedel, Michelle L. Rogers, and Joseph W. Hogan are with the Brown University School of Public Health, Providence. David Yokum is with The Policy Lab, Brown University, Providence. Siena C. Napoleon is with the Brown University Warren Alpert School of Medicine, Providence.
Abstract:
Objectives. To characterize statewide seroprevalence and point prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Rhode Island.Methods. We conducted a cross-sectional survey of randomly selected households across Rhode Island in May 2020. Antibody-based and polymerase chain reaction (PCR)-based tests for SARS-CoV-2 were offered. Hispanics/Latinos and African Americans/Blacks were oversampled to ensure adequate representation. Seroprevalence estimations accounted for test sensitivity and specificity and were compared according to age, race/ethnicity, gender, housing environment, and transportation mode.Results. Overall, 1043 individuals from 554 households were tested (1032 antibody tests, 988 PCR tests). The estimated seroprevalence of SARS-CoV-2 antibodies was 2.1% (95% credible interval [CI] = 0.6, 4.1). Seroprevalence was 7.5% (95% CI = 1.3, 17.5) among Hispanics/Latinos, 3.8% (95% CI = 0.0, 15.0) among African Americans/Blacks, and 0.8% (95% CI = 0.0, 2.4) among non-Hispanic Whites. Overall PCR-based prevalence was 1.5% (95% CI = 0.5, 3.1).Conclusions. Rhode Island had low seroprevalence relative to other settings, but seroprevalence was substantially higher among African Americans/Blacks and Hispanics/Latinos. Rhode Island sits along the highly populated northeast corridor, making our findings broadly relevant to this region of the country. Continued monitoring via population-based sampling is needed to quantify these impacts going forward.

