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Trends in SARS-CoV-2 seroprevalence in Massachusetts estimated from newborn screening specimens
Kevin C Ma; Jaime E Hale; Yonatan Grad; Galit Alter; Katherine Luzuriaga; Roger B Eaton; Stephanie Fischinger; Devinder Kaur; Robin Brody; Sameed M Siddiqui; Dylan Leach; Catherine Brown; R Monina Klevens; Lawrence Madoff; Anne Marie Comeau.
Affiliation
  • Kevin C Ma; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
  • Jaime E Hale; New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA
  • Yonatan Grad; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
  • Galit Alter; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, United States
  • Katherine Luzuriaga; Program in Molecular Medicine, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA
  • Roger B Eaton; New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA
  • Stephanie Fischinger; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, United States
  • Devinder Kaur; New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA
  • Robin Brody; Program in Molecular Medicine, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA
  • Sameed M Siddiqui; Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
  • Dylan Leach; Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA
  • Catherine Brown; Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA
  • R Monina Klevens; Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA
  • Lawrence Madoff; Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA
  • Anne Marie Comeau; New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA
Preprint in English | medRxiv | ID: ppmedrxiv-21265678
ABSTRACT
BackgroundEstimating the cumulative incidence of SARS-CoV-2 is essential for setting public health policies. We leveraged de-identified Massachusetts newborn screening specimens to generate an accessible, retrospective source of maternal antibodies for estimating statewide SARS-CoV-2 seroprevalence in a non-test-seeking population. MethodsWe analyzed 72,117 newborn dried blood spots collected from November 2019 through December 2020, representing 337 towns and cities across Massachusetts. Seroprevalence was estimated for the general Massachusetts population after correcting for imperfect test specificity and nonrepresentative sampling using Bayesian multilevel regression and poststratification. ResultsStatewide seroprevalence was estimated to be 0.03% (90% credible interval (CI) [0.00, 0.11]) in November 2019 and rose to 1.47% (90% CI [1.00, 2.13]) by May 2020, following sustained SARS-CoV-2 transmission in the spring. Seroprevalence plateaued from May onwards, reaching 2.15% (90% CI [1.56, 2.98]) in December 2020. Seroprevalence varied substantially by community and was particularly associated with community percent non-Hispanic Black ({beta} = 0.024, 90% CI [0.004, 0.044]); i.e., a 10% increase in community percent non-Hispanic Black was associated with a 27% higher odds of seropositivity. Seroprevalence estimates had good concordance with reported case counts and wastewater surveillance for most of 2020, prior to the resurgence of transmission in winter. ConclusionsCumulative incidence of SARS-CoV-2 protective antibody in Massachusetts was low as of December 2020, indicating that a substantial fraction of the population was still susceptible. Maternal seroprevalence data from newborn screening can inform longitudinal trends and identify cities and towns at highest risk, particularly in settings where widespread diagnostic testing is unavailable. SummaryThe measurement of maternal antibodies in dried blood spots collected for newborn screening offers a statewide source of SARS-CoV-2 seroprevalence data independent of case testing limitations. We analyzed 72,117 Massachusetts spots collected November 2019 - December 2020 and estimated longitudinal trends.
License
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
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