Evidence map›Paper›PMID 35213690›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Trends in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Seroprevalence in Massachusetts Estimated from Newborn Screening Specimens.

Kevin C Ma, Jaime E Hale, Yonatan H Grad, Galit Alter, Katherine Luzuriaga, Roger B Eaton, Stephanie Fischinger, Devinder Kaur, Robin Brody, Sameed M Siddiqui and 5 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Kevin C MaDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-4326-2911
Jaime E HaleNew England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.
Yonatan H GradDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Galit AlterRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA.
Katherine LuzuriagaProgram in Molecular Medicine, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA.
Roger B EatonNew England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.
Stephanie FischingerRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, USA.
Devinder KaurNew England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.
Robin BrodyProgram in Molecular Medicine, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA.
Sameed M SiddiquiComputational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Dylan LeachBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA.
Catherine M BrownBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA.
R Monina KlevensBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA.
Lawrence MadoffBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA.
Anne Marie ComeauNew England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.

Funding

COVID Supplement - COMPONENT A OF THE COLLABORATIVE INFLUENZA VACCINE INNOVATION CENTERS (CIVICS) PROGRAM TO DESIGN AND EVALUATE INNOVATIVE INFLUENZA VACCINE APPROACHES,75N93019C00052 · NIAID · UNIVERSITY OF GEORGIA · PI ROSS, TED · 2019 to 2025
$74.6M
University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
Technology CoreU19AI135995 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI Laura D. Hughes · 2018 to 2026
$32.0M
Demystifying the antiviral activity of the IgG3+ antibody responseR37AI080289 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ALTER, GALIT · 2015 to 2022
$5.8M
Immunologic Signatures of SARS-CoV-2 Vaccination and DiseaseU01CA260476 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BAROUCH, DAN H. · 2020 to 2024
$3.7M
SARS-CoV-2 Variant TestingR01AI146785 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LINGWOOD, DANIEL · 2020 to 2024
$3.3M
Casual, Statistical and Mathematical Modeling with Serologic DataU01CA261277 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM, LIPSITCH, MARC · 2020 to 2023
$2.8M
CHLAMYDIA PNEUMONIAE AND MACROPHAGES IN ATHEROSCLEROSISR01AI042790 · NIAID · UNIVERSITY OF WISCONSIN MADISON · PI BYRNE, GERALD IRWIN · 1999 to 2003
$983k
NCATS NIH HHS UL1 TR001453NCI NIH HHS U01 CA260476NCI NIH HHS U01 CA261277NIAID NIH HHS 75N93019C00052NIAID NIH HHS R01 AI042790NIAID NIH HHS R01 AI146785NIAID NIH HHS R37 AI080289NIAID NIH HHS U19 AI135995
6 · The paper itself

Abstract

backgroundEstimating 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.

methodsWe 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.

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 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 (β = .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.

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.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralBayes TheoremHumansInfant, NewbornNeonatal ScreeningRetrospective StudiesSeroepidemiologic StudiesWastewaterWastewater-Based Epidemiological MonitoringAntibodies, ViralWastewaternewborn screeningSARS-CoV-2seroprevalence

Identifiers

PMID35213690
PMCPMC8903451

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