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Use of U.S. Blood Donors for National Serosurveillance of SARS-CoV-2 Antibodies: Basis for an Expanded National Donor Serosurveillance Program.
Mars Stone; Clara Di Germanio; David J. Wright; Hasan Sulaeman; Honey Dave; Rebecca V. Fink; Edward P. Notari; Valerie Green; Donna Strauss; Debra Kessler; Mark Destree; Paula Saa; Phillip C. Williamson; Graham Simmons; Susan L. Stramer; Jean Opsomer; Jefferson M. Jones; Steven H. Kleinman; Michael P. Busch.
Afiliación
  • Mars Stone; Vitalant Research Institute, Department of Laboratory Medicine, University of California, San Francisco
  • Clara Di Germanio; Vitalant Research Institute
  • David J. Wright; Westat
  • Hasan Sulaeman; Vitalant Research Institute
  • Honey Dave; Vitalant Research Institute
  • Rebecca V. Fink; Westat
  • Edward P. Notari; American Red Cross
  • Valerie Green; Creative Testing Solutions
  • Donna Strauss; New York Blood Center
  • Debra Kessler; New York Blood Center
  • Mark Destree; BloodWorks Northwest
  • Paula Saa; American Red Cross
  • Phillip C. Williamson; Creative Testing Solutions
  • Graham Simmons; Vitalant Research Institute, Department of Laboratory Medicine, University of California, San Francisco
  • Susan L. Stramer; American Red Cross
  • Jean Opsomer; Westat
  • Jefferson M. Jones; Centers for Disease Control and Prevention COVID-19 Response Team
  • Steven H. Kleinman; University of British Columbia
  • Michael P. Busch; Vitalant Research Institute, Department of Laboratory Medicine, University of California, San Francisco
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21255576
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ABSTRACT
IntroductionThe REDS-IV-P Epidemiology, Surveillance and Preparedness of the Novel SARS-CoV-2 Epidemic (RESPONSE) seroprevalence study conducted monthly cross-sectional testing for SARS-CoV-2 antibodies on blood donors in six U.S. metropolitan regions to estimate the extent of SARS-COV-2 infections over time. Study Design/MethodsDuring March-August 2020, approximately [≥]1,000 serum specimens were collected monthly from each region and tested for SARS-CoV-2 antibodies using a well-validated algorithm. Regional seroprevalence estimates were weighted based on demographic differences with the general population. Seroprevalence was compared with reported COVID-19 case rates over time. Results/FindingsFor all regions, seroprevalence was <1.0% in March 2020. New York experienced the biggest increase (peak seroprevalence, 15.8 % in May). All other regions experienced modest increases in seroprevalence(1-2% in May-June to 2-4% in July-August). Seroprevalence was higher in younger, non-Hispanic Black, and Hispanic donors. Temporal increases in donor seroprevalence correlated with reported case rates in each region. In August, 1.3-5.6 estimated cumulative infections (based on seroprevalence data) per COVID-19 case reported to CDC. ConclusionIncreases in seroprevalence were found in all regions, with the largest increase in New York. Seroprevalence was higher in non-Hispanic Black and Hispanic blood donors than in non-Hispanic White blood donors. SARS-CoV-2 antibody testing of blood donor samples can be used to estimate the seroprevalence in the general population by region and demographic group. The methods derived from the RESPONSE seroprevalence study served as the basis for expanding SARS-CoV-2 seroprevalence surveillance to all 50 states and Puerto Rico. SummarySARS-CoV-2 serosurveillance data from blood donors in 6 US regions were used to estimate population weighted seroprevalence. Seroprevelance rates were higher in case rates. The study was expanded to a national donor serosurveillance program. DisclaimerThe content is solely the responsibility of the authors and does not represent the policy of the National Institutes of Health or the Department of Health and Human Services. Any specific brandnames included in this manuscript are for identification purposes only and are not intended to represent an endorsement by CDC. The findings and conclusions in this report are those of the authorsand do not necessarily represent the official position of the Centers of Disease Control and Prevention.
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Observational_studies / Prognostic_studies / Rct Idioma: En Año: 2021 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Observational_studies / Prognostic_studies / Rct Idioma: En Año: 2021 Tipo del documento: Preprint