About this Dataset

2022–2023 Nationwide Blood Donor Seroprevalence Survey Combined Infection- And Vaccination-Induced Seroprevalence Estimates

CDC is collaborating with Vitalant Research Institute, American Red Cross, and Westat Inc. to conduct a nationwide COVID-19 seroprevalence survey of blood donors. De-identified blood samples are tested for antibodies to SARS-CoV-2 to better understand the percentage of people in the United States who have antibodies against SARS-CoV-2 (the virus that causes COVID-19) and to track how this percentage changes over time. Both SARS-CoV-2 infection and COVID-19 vaccines currently used in the United States result in production of anti-spike (anti-S) antibodies but only infection results in production of anti-nucleocapsid (anti-N) antibodies.
Infection-induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection and refers to the percent of the population with anti-nucleocapsid antibodies.
Combined infection-Induced and Vaccination-Induced seroprevalence estimates the proportion of the population with antibody evidence of previous SARS-CoV-2 infection, COVID-19 vaccination, or both, and refers to the percent of the population that has anti-spike antibodies, anti-nucleocapsid antibodies, or both.

This link connects to a webpage that displays the data from the Nationwide Blood Donor Seroprevalence Survey. It offers an interactive visualization available at https://covid.cdc.gov/covid-data-tracker/#nationwide-blood-donor-seroprevalence-2022
Organization: U.S. Department of Health & Human Services
Last updated: 2022-11-15T14:00:30.055510
Tags: coronavirus, covid, covid-19, covid19, laboratory, prevalence, sars-cov, seroprevalence, serosurveys

Tables

Table 1

@usgov.hhs_gov_2022_nationwide_blood_donor_seroprevalence_sur_f47c9f23.table_1

241.93 kB
24,984 rows
11 columns

CREATE TABLE table_1 (
  "indicator" VARCHAR,
  "geographic_area" VARCHAR,
  "geographic_identifier" VARCHAR,
  "race" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "time_period" VARCHAR,
  "n_unweighted" DOUBLE  -- N (Unweighted),
  "estimate_weighted" DOUBLE  -- Estimate % (weighted),
  "n_2_5" DOUBLE  -- 2.5%,
  "n_97_5" DOUBLE  -- 97.5%
);