Evidence map›Paper›PMID 42879418›Full record

ArticlePloS one2026

Evaluation of pre-Omicron population immunity for SARS-CoV-2 in the Household Influenza Vaccine Evaluation (HIVE) cohort.

Yangyupei Yang, Casey Juntila-Raymond, Amy Callear, Matthew Smith, Reilly K Atkinson, Yan Zhao, Ruhi Shah, Jefferson J S Santos, Scott E Hensley, Arnold S Monto and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Yangyupei YangDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.ORCID https://orcid.org/0000-0002-6011-4152
Casey Juntila-RaymondDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Amy CallearDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Matthew SmithDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Reilly K AtkinsonDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Yan ZhaoDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Ruhi ShahDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Jefferson J S SantosDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Scott E HensleyDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Arnold S MontoDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Emily T MartinDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinued serosurvey for SARS-CoV-2 population immunity is critical for vaccine strain selection and identification of susceptible groups such as young children. We aim to evaluate the use of a high-throughput, low-volume assay to describe strain-specific IgG measurement in a longitudinally followed community based cohort.

methodsThe longitudinal Household Influenza Vaccine Evaluation study has observed around 300 households annually for acute respiratory illness. SARS-CoV-2 variant-specific IgG (including original, Delta, Beta, and Omicron variants) concentrations were measured using multiplex electrochemiluminescence (ECL), pseudoviral neutralization (PN), and ACE2 inhibition assays in participants who had serum samples drawn between July 1 and December 31, 2021. Spearman's rank correlation coefficient assessed correlation within and between ECL, ACE2, and PN assays. Receiver operating characteristic (ROC) analysis evaluated the performance of ECL and ACE2 assays. Generalized additive mixed models estimated population immunity by age against SARS-CoV-2 variants.

resultsA total of 156 serum samples from 117 participants were selected for this study. Most (65.8%) were from adults and a majority (77.8%) received vaccination during the analysis period. High correlations were observed within ECL IgG assays (0.95-1.00), within ACE2 inhibition assays (0.70-0.99), and between assay platforms, including ECL versus PN (0.81-0.83) and ACE2 versus PN (0.88-0.95). ROC analysis demonstrated strong discrimination of vaccination status by ECL IgG assays (AUC: 0.84-0.88; sensitivity: 0.88-0.91; specificity: 0.87-0.88). ACE2 inhibition assays showed more variable performance (AUC: 0.53-0.96; sensitivity: 0.17-0.93; specificity: 0.91-1.00), with lower performance observed for some BA.2-related antigens. SARS-CoV-2 IgG concentrations generally increased with age and appeared to plateau in early adulthood, although estimates were imprecise in younger age groups because of small sample sizes.

conclusionWe found a high correlation between ECL, ACE2, and PN across variants. Age-specific IgG quantities reflected behavior and infection histories collected by active surveillance.

Indexed as

Antibodies, ViralCOVID-19Influenza VaccinesSARS-CoV-2AdolescentAdultAgedChildChild, PreschoolCohort StudiesFamily CharacteristicsFemaleHumansImmunoglobulin GInfantLongitudinal StudiesAntibodies, ViralImmunoglobulin GInfluenza Vaccines

Identifiers

PMID42879418
PMCPMC13671514

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.