Dataset

2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates

cdc.mtc3-kq6r
Ask your agent

Use escrito dataset cdc.mtc3-kq6r

Connect an agent at https://data.escrito.io/mcp
About

CDC is collaborating with the National Institutes of Health (NIH), the Food and Drug Administration (FDA), Vitalant Research Institute (VRI), Westat Inc., and numerous blood collection organizations across the United States to conduct a nationwide COVID-19 seroprevalence survey of blood donors. This is the largest nationwide COVID-19 seroprevalence survey to date. 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 evidence of previous SARS-CoV-2 infection and refers to the prevalence of the population with both anti-S and anti-N antibodies. 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 Additional information is available at: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html

Cite as: National Center for Immunization and Respiratory Diseases (NCIRD), Division of Viral Diseases. 2020-2021 Nationwide Blood Donor Seroprevalence Survey Infection-Induced Seroprevalence Estimates. https://data.cdc.gov/d/mtc3-kq6r

Publisher
Centers for Disease Control and Prevention
Tier
Official
Covers
2020–2021
Places
US
Updated
monthly
Last modified
2022-02-18
Units
not stated
License
U.S. Government Work (public domain)
Method
https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/blood-bank-serosurvey.html

Columns

NameTypeDescription
rate_female_prevalencenumber
rate_white_prevalencenumber
lower_ci_black_prevalencenumber
n_hispanic_prevalencenumber
upper_ci_hispanic_prevalencenumber
n_other_race_prevalencenumber
regiontext
region_abbreviationtext
median_donation_datecalendar_date
n_total_prevalencenumber
rate_16_29_years_prevalencenumber
upper_ci_asian_prevalencenumber
lower_ci_16_29_years_prevalencenumber
upper_ci_16_29_years_prevalencenumber
upper_ci_30_49_years_prevalencenumber
n_50_64_years_prevalencenumber
n_65_years_prevalencenumber
rate_male_prevalencenumber
lower_ci_male_prevalencenumber
upper_ci_male_prevalencenumber
lower_ci_female_prevalencenumber
upper_ci_female_prevalencenumber
lower_ci_asian_prevalencenumber
n_asian_prevalencenumber
rate_asian_prevalencenumber
n_male_prevalencenumber
rate_black_prevalencenumber
upper_ci_total_prevalencenumber
n_white_prevalencenumber
lower_ci_white_prevalencenumber
upper_ci_white_prevalencenumber
upper_ci_black_prevalencenumber
lower_ci_hispanic_prevalencenumber
rate_30_49_years_prevalencenumber
lower_ci_30_49_years_prevalencenumber
upper_ci_other_race_prevalencenumber
lower_ci_other_race_prevalencenumber
rate_hispanic_prevalencenumber
n_black_prevalencenumber
year_and_monthtext
rate_other_race_prevalencenumber
rate_50_64_years_prevalencenumber
n_16_29_years_prevalencenumber
rate_total_prevalencenumber
lower_ci_total_prevalencenumber
n_female_prevalencenumber
rate_65_years_prevalencenumber
n_30_49_years_prevalencenumber
lower_ci_50_64_years_prevalencenumber
upper_ci_50_64_years_prevalencenumber
lower_ci_65_years_prevalencenumber
upper_ci_65_years_prevalencenumber

All datasets