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Trends in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Seroprevalence in Massachusetts Estimated from Newborn Screening Specimens.
Ma, Kevin C; Hale, Jaime E; Grad, Yonatan H; Alter, Galit; Luzuriaga, Katherine; Eaton, Roger B; Fischinger, Stephanie; Kaur, Devinder; Brody, Robin; Siddiqui, Sameed M; Leach, Dylan; Brown, Catherine M; Klevens, R Monina; Madoff, Lawrence; Comeau, Anne Marie.
Affiliation
  • Ma KC; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Hale JE; New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Grad YH; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Alter G; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA.
  • Luzuriaga K; Program in Molecular Medicine, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Eaton RB; UMass Center for Clinical and Translational Science at UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Fischinger S; New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Kaur D; Department of Pediatrics, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Brody R; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA.
  • Siddiqui SM; New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Leach D; Department of Pediatrics, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Brown CM; Program in Molecular Medicine, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Klevens RM; Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Madoff L; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Comeau AM; Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA.
Clin Infect Dis ; 75(1): e105-e113, 2022 08 24.
Article in En | MEDLINE | ID: mdl-35213690
BACKGROUND: Estimating the cumulative incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for setting public health policies. We leveraged deidentified Massachusetts newborn screening specimens as an accessible, retrospective source of maternal antibodies for estimating statewide seroprevalence in a nontest-seeking population. METHODS: We analyzed 72 117 newborn specimens collected from November 2019 through December 2020, representing 337 towns and cities across Massachusetts. Seroprevalence was estimated for the Massachusetts population after correcting for imperfect test specificity and nonrepresentative sampling using Bayesian multilevel regression and poststratification. RESULTS: Statewide 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 onward, 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 (ß = .024; 90% CI: 0.004-0.044); i.e., a 10% increase in community percent non-Hispanic Black was associated with 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. CONCLUSIONS: Cumulative 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.
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Full text: 1 Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans / Newborn Language: En Journal: Clin Infect Dis Journal subject: DOENCAS TRANSMISSIVEIS Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans / Newborn Language: En Journal: Clin Infect Dis Journal subject: DOENCAS TRANSMISSIVEIS Year: 2022 Type: Article Affiliation country: United States