Estimated US infection- and vaccine-induced SARS-CoV-2 seroprevalence based on blood donations, July 2020–May 2021
Open accessAbstract
Importance: People who have been infected with or vaccinated against SARS-CoV-2 have reduced risk of subsequent infection, but the proportion of people in the US with SARS-CoV-2 antibodies from infection or vaccination is uncertain. Objective: To estimate trends in SARS-CoV-2 seroprevalence related to infection and vaccination in the US population. Design, Setting, and Participants: In a repeated cross-sectional study conducted each month during July 2020 through May 2021, 17 blood collection organizations with blood donations from all 50 US states; Washington, DC; and Puerto Rico were organized into 66 study-specific regions, representing a catchment of 74% of the US population. For each study region, specimens from a median of approximately 2000 blood donors were selected and tested each month; a total of 1 594 363 specimens were initially selected and tested. The final date of blood donation collection was May 31, 2021. Exposure: Calendar time. Main Outcomes and Measures: Proportion of persons with detectable SARS-CoV-2 spike and nucleocapsid antibodies. Seroprevalence was weighted for demographic differences between the blood donor sample and general population. Infection-induced seroprevalence was defined as the prevalence of the population with both spike and nucleocapsid antibodies. Combined infection- and vaccination-induced seroprevalence was defined as the prevalence of the population with spike antibodies. The seroprevalence estimates were compared with cumulative COVID-19 case report incidence rates. Results: Among 1 443 519 specimens included, 733 052 (50.8%) were from women, 174 842 (12.1%) were from persons aged 16 to 29 years, 292 258 (20.2%) were from persons aged 65 years and older, 36 654 (2.5%) were from non-Hispanic Black persons, and 88 773 (6.1%) were from Hispanic persons. The overall infection-induced SARS-CoV-2 seroprevalence estimate increased from 3.5% (95% CI, 3.2%-3.8%) in July 2020 to 20.2% (95% CI, 19.9%-20.6%) in May 2021; the combined infection- and vaccination-induced seroprevalence estimate in May 2021 was 83.3% (95% CI, 82.9%-83.7%). By May 2021, 2.1 SARS-CoV-2 infections (95% CI, 2.0-2.1) per reported COVID-19 case were estimated to have occurred. Conclusions and Relevance: Based on a sample of blood donations in the US from July 2020 through May 2021, vaccine- and infection-induced SARS-CoV-2 seroprevalence increased over time and varied by age, race and ethnicity, and geographic region. Despite weighting to adjust for demographic differences, these findings from a national sample of blood donors may not be representative of the entire US population.
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Reliance on healthy blood donors and voluntary child participants did not result in a material underestimate of COVID-19 seroprevalence in the general population.
“These independent estimates provide confidence that our reliance on healthy blood donors and voluntary child participants did not result in a material underestimate of COVID-19 seroprevalence in the general population.”
From Real-world COVID-19 vaccine effectiveness against the Omicron BA.2 variant in a SARS-CoV-2 infection-naive population (2023) · cites this paper as [50]
The Limitations section says the blood-donor infection-induced estimates were similar to those from a nationwide study using commercial laboratory specimens, which lends some support to the claim about donors. It also says donor estimates might be underestimated because people with COVID-19 symptoms could be excluded. The study did not include children under 16, so it cannot assess whether voluntary child participation caused an underestimate. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSome studies have used seroprevalence surveys, while others have made estimates of infections by assuming a particular infection-detection ratio (IDR).
“Some of these studies have used seroprevalence surveys, while others have made estimates of infections by assuming a particular infection–detection ratio (IDR).7, 10, 11, 12”
From Estimating global, regional, and national daily and cumulative infections with SARS-CoV-2 through Nov 14, 2021: a statistical analysis (2022) · cites this paper as [12]
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How do we decide how representative our donors are for public health surveillance?
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Self-citationThe (apparent) antibody paradox in COVID-19
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Dynamics of SARS-CoV-2 seroassay sensitivity: a systematic review and modelling study
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Severe COVID-19 is a T cell immune dysregulatory disorder triggered by SARS-CoV-2
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Cross-Canada Variability in Blood Donor SARS-CoV-2 Seroprevalence by Social Determinants of Health
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Trends and risk factors of SARS‐CoV ‐2 infection in asymptomatic blood donors
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Long-term detection of SARS-CoV-2 antibodies after infection and risk of re-infection
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Self-citationClinical usefulness of testing for severe acute respiratory syndrome coronavirus 2 antibodies
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Self-citationCohort profile: A Québec-based plasma donor biobank to study COVID-19 immunity (PlasCoV)
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Self-citationInfection-Induced SARS-CoV-2 Seroprevalence among Blood Donors, Japan, 2022
Kinoshita, R., Arashiro, T., Kitamura, N., Arai, S., Takahashi, K., Suzuki, T., Suzuki, M., & Yoneoka, D. (2023) · Emerging infectious diseases · doi:10.3201/eid2909.230365 · Cited by 13 · see citing works
Using sero-epidemiology to monitor disparities in vaccination and infection with SARS-CoV-2
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Self-citationSARS-CoV-2 Seroprevalence among Canadian Blood Donors: The Advance of Omicron
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Self-citationBeyond sex and gender differences: The case for women's health research
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Vaccine failure mode determines population-level impact of vaccination campaigns during epidemics
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Self-citationO’Brien, S. C., Cole, L. D., Albanese, B. A., Mahon, A., Knight, V., Williams, N., Severson, R., Burakoff, A. W., Alden, N. B., & Dominguez, S. R. (2023) · Emerging infectious diseases · doi:10.3201/eid2905.221541 · Cited by 11 · see citing works
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Self-citationDigital transformation and environmental sustainability: reviewing the role of human capital
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Seroprevalence as an Indicator of Undercounting of COVID-19 Cases in a Large Well-Described Cohort
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Self-citationAseptic Meningitis Following the Second Dose of Comirnaty Vaccination in an Adolescent Patient
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Qualitative and quantitative detection of SARS-CoV-2 antibodies from dried blood spots
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Tuite, A. R., Fisman, D. N., Abe, K. T., Rathod, B., Pasculescu, A., Colwill, K., Gingras, A., Yi, Q., O’Brien, S. F., & Drews, S. J. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.02563-21 · Cited by 10 · see citing works
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Self-citationSevere Acute Respiratory Syndrome Coronavirus 2 Serosurveillance in Blood Donor Populations
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SARS-CoV-2 Attack Rate and Population Immunity in Southern New England, March 2020 to May 2021
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COVID-19 SeroHub, an online repository of SARS-CoV-2 seroprevalence studies in the United States
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Self-citationRoubinian, N. H., Greene, J., Spencer, B. R., Bravo, M. D., Bruhn, R. L., Saá, P., Stone, M., Custer, B., Kleinman, S. H., Liu, V. X., et al. (2025) · Transfusion · doi:10.1111/trf.18159 · Cited by 8 · see citing works
Self-citationSi, Y., Covello, L., Wang, S., Covello, T., & Gelman, A. (2022) · Epidemiology · doi:10.1097/ede.0000000000001488 · Cited by 8 · see citing works
Seropositivity to SARS-CoV-2 in Alberta, Canada in a post-vaccination period (March 2021–July 2021)
Kanji, J. N., Nguyen, L. T., Plitt, S. S., Charlton, C. L., Fenton, J., Braun, S., Marohn, C., Lau, C. K. Y., Svenson, L. W., Hinshaw, D., et al. (2022) · Scandinavian Journal of Infectious Diseases · doi:10.1080/23744235.2022.2080250 · Cited by 8 · see citing works
Glasser, J. W., Feng, Z., Vo, M., Jones, J. N., & Clarke, K. E. N. (2022) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2022.111296 · Cited by 8 · see citing works
Self-citationWhite paper on pandemic preparedness in the blood supply
Strengers, P. F. W., O’Brien, S. F., Politis, C., Mayr, W. R., Seifried, E., & Spencer, B. R. (2022) · Vox Sanguinis · doi:10.1111/vox.13378 · Cited by 8 · see citing works
SARS-CoV-2 Serosurveys: How Antigen, Isotype and Threshold Choices Affect the Outcome
Binder, R. A., Fujimori, G., Forconi, C. S., Reed, G. W., Silva, L. S., Lakshmi, P. S., Higgins, A., Cincotta, L., Dutta, P., Salive, M.-C., et al. (2022) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiac431 · Cited by 7 · see citing works
Infectious Disease Epidemiology
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Racey, C. S., Booth, A., Albert, A., Smith, L., Krajden, M., Murray, M. C. M., Côté, H. C. F., Gottschlich, A., Goldfarb, D. A., Sadarangani, M., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-062567 · Cited by 7 · see citing works
Epidemic time series similarity is related to geographic distance and age structure
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Disproportionate impacts of COVID-19 in a large US city
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Seroprevalence of SARS-CoV-2 in Brazil: A systematic review and meta-analysis
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Self-citationThon, V., Piler, P., Pavlík, T., Andrýsková, L., Doležel, K., Kostka, D., Pikhart, H., Bobák, M., & Klánová, J. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-068258 · Cited by 6 · see citing works
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Analysis of metapopulation models of the transmission of SARS-CoV-2 in the United States
Vo, M., Feng, Z., Glasser, J. W., Clarke, K. E. N., & Jones, J. N. (2023) · Journal of Mathematical Biology · doi:10.1007/s00285-023-01948-y · Cited by 6 · see citing works
Self-citationAdams, C., Horton, M. K., Solomon, O., Wong, M. P., Wu, S. L., Fuller, S., Shao, X., Fedrigo, I., Quach, H., Quach, D. L., et al. (2022) · PLOS Global Public Health · doi:10.1371/journal.pgph.0000647 · Cited by 6 · see citing works
Self-citationBuren, N. L. V., Rajbhandary, S., Reynolds, V., Gorlin, J. B., Stramer, S. L., Notari, E. P., Conti, G., Katz, L. M., Stubbs, J. R., van Buskirk, C. M., et al. (2022) · Transfusion · doi:10.1111/trf.17229 · Cited by 6 · see citing works
Self-citationSARS ‐ CoV ‐2 antibody levels and long COVID occurrence in blood donors
Avelino‐Silva, V. I., Bruhn, R. L., Zurita, K. G., Deng, X., Yu, E. A., Grebe, E., Stone, M., Lanteri, M. C., Spencer, B. R., Busch, M. P., et al. (2024) · Transfusion · doi:10.1111/trf.17952 · Cited by 5 · see citing works
Self-citationDetection of SARS-CoV-2 Reinfections Using Nucleocapsid Antibody Boosting
Grebe, E., Chacreton, D., Stone, M., Spencer, B. R., Haynes, J., Akinseye, A., Lanteri, M. C., Green, V., Sulaeman, H., Bruhn, R. L., et al. (2025) · Emerging infectious diseases · doi:10.3201/eid3105.250021 · Cited by 5 · see citing works
Self-citationWest Nile Virus positivity amongst Canadian blood donors and effectiveness of off‐season screening
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- Authors
- Jones, J. M., Stone, M., Sulaeman, H., Fink, R. V., Dave, H., Levy, M. E., Di Germanio, C., Green, V., Notari, E., Saa, P., Biggerstaff, B. J., Strauss, D., Kessler, D., Vassallo, R., Reik, R., Rossmann, S., Destree, M., Nguyen, K.-A., Sayers, M., Lough, C., Bougie, D. W., Ritter, M., Latoni, G., Weales, B., Sime, S., Gorlin, J., Brown, N. E., Gould, C. V., Berney, K., Benoit, T. J., Miller, M. J., Freeman, D., Kartik, D., Fry, A. M., Azziz-Baumgartner, E., Hall, A. J., MacNeil, A., Gundlapalli, A. V., Basavaraju, S. V., Gerber, S. I., Patton, M. E., Custer, B., Williamson, P., Simmons, G., Thornburg, N. J., Kleinman, S., Stramer, S. L., Opsomer, J., & Busch, M. P.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Vitalant Research Institute (US)
- Westat (United States) (US)
- Vitalant Research Institute, San Francisco, California
- Temple University, Japan (JP)
- American Red Cross (US)
- Scientific Affairs, American Red Cross, Gaithersburg, Maryland
- New York Blood Center (US)
- OneBlood (US)
- Gulf Coast Regional Blood Center, Houston, Texas
- Bloodworks Northwest (US)
- Blood Bank of Hawaii, Honolulu
- Carter BloodCare (US)
- LifeSouth Community Blood Centers, Gainesville, Florida
- Versiti Blood Center of Wisconsin (US)
- Blood Bank of Alaska, Anchorage
- Banco de Sangre de Servicios Mutuos, San Juan, Puerto Rico
- The Blood Center, New Orleans, Louisiana
- LifeServe, Des Moines, Iowa
- Minnesota Historical Society (US)
- Georgia Tech Research Institute (US)
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
- University of British Columbia (CA)
- Corresponding author
- Jones, Jefferson M.
- ORCID
- Jones, Jefferson M.
- Stone, Mars
- Sulaeman, Hasan
- Fink, Rebecca V.
- Dave, Honey
- Levy, Matthew E.
- Green, Valerie
- Notari, Edward
- Biggerstaff, Brad J.
- Strauss, Donna
- Kessler, Debra
- Sayers, Merlyn
- Bougie, Daniel W.
- Gorlin, Jed
- Brown, Nicole E.
- Gould, Carolyn V.
- Benoit, Tina J.
- Miller, Maureen J.
- Fry, Alicia M.
- Hall, Aron J.
- MacNeil, Adam
- Gundlapalli, Adi V.
- Basavaraju, Sridhar V.
- Gerber, Susan I.
- Patton, Monica E.
- Custer, Brian
- Simmons, Graham
- Thornburg, Natalie J.
- Kleinman, Steven
- Stramer, Susan L.
- Opsomer, Jean
- Busch, Michael P.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2021-10-12
- Volume
- 326
- Issue
- 14
- Pages
- 1400
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC8414359
- OpenAlex
- W3197430550
- Cited by
- 201
- References
- 31
- Citations by year
- 2026: 13 · 2025: 23 · 2024: 19 · 2023: 57 · 2022: 80 · 2021: 9
- FWCI
- 13.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Keywords
- SARS-CoV-2, COVID-19 pandemic, seroprevalence, blood donors, COVID-19 vaccination, SARS-CoV-2 antibodies, spike antibodies, nucleocapsid antibodies, antibody waning, COVID-19 incidence, United States
- MeSH terms
- COVID-19, SARS-CoV-2, COVID-19 Vaccines, COVID-19 Serological Testing, Adolescent, Adult, Age Factors, Aged, Antibodies, Viral, Blood Donors, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, United States, Prevalence, Seroepidemiologic Studies, Young Adult
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