Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/48784
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dc.contributor.authorBRAEYE, Toon-
dc.contributor.authorABRAMS, Steven-
dc.contributor.authorHENS, Niel-
dc.contributor.editorMaior, Caio Bezerra Souto-
dc.date.accessioned2026-03-23T08:24:20Z-
dc.date.available2026-03-23T08:24:20Z-
dc.date.issued2026-
dc.date.submitted2026-03-20T16:05:33Z-
dc.identifier.citationPlos One, 21 (2) (Art N° e0328144)-
dc.identifier.urihttp://hdl.handle.net/1942/48784-
dc.description.abstractBackground Antibody testing is commonly used to assess past exposure to pathogens, but the interpretation is complex. We quantified test-specific SARS-CoV-2 seroconversion and seroreversion by time since PCR-confirmed infection, age and disease severity.Methods We combined Belgian data from laboratory SARS-CoV-2 testing, prescriptions, contact tracing and hospital surveillance collected between March 2020 and June 2021 with data from published longitudinal studies on Wantai and EuroImmun IgG serological tests. We used a hierarchical Bayesian model to estimate time-varying sensitivity of serological tests following PCR-confirmed infection. The model employed a scaled Weibull-bi-exponential distribution. We accounted for disease severity (distinguishing between asymptomatic, symptomatic, and hospitalized cases), age (i.e., age groups 18-49, 50-64, and 65-74 years) and serological test used.Methods We combined Belgian data from laboratory SARS-CoV-2 testing, prescriptions, contact tracing and hospital surveillance collected between March 2020 and June 2021 with data from published longitudinal studies on Wantai and EuroImmun IgG serological tests. We used a hierarchical Bayesian model to estimate time-varying sensitivity of serological tests following PCR-confirmed infection. The model employed a scaled Weibull-bi-exponential distribution. We accounted for disease severity (distinguishing between asymptomatic, symptomatic, and hospitalized cases), age (i.e., age groups 18-49, 50-64, and 65-74 years) and serological test used.Results We included 44,262 serological test results: 10,864 obtained from published studies, 33,398 from Belgian laboratories. Seroconversion occurred during the six weeks following a PCR-confirmed infection. Age, disease severity and the test used strongly influenced seroconversion rates and the rate of the subsequent seroreversion. For the EuroImmun test, 82% (95% Credible Interval (CrI): 80%-84%) of symptomatic individuals in the youngest age group seroconverted, compared to 95% (CrI: 95%-96%) for the Wantai test. Seroconversion was associated with hospitalization, (OR = 8.17 (CrI: 5.56-13.72), compared to asymptomatic infection) and older age (OR = 1.65 (CrI: 1.41-1.97), compared to 18-49 year-olds). Slower seroreversion was associated with older age, hospitalization and the Wantai test. At 50 weeks, seropositivity among symptomatic 18-49 year-olds was 64% (CrI: 58%-70%) for the EuroImmun test and 95% (CrI: 94%-96%) for the Wantai test.Conclusion These findings highlight the need for test-specific, time-varying sensitivity adjustments in seroprevalence studies. Such adjustments are crucial for translating seroprevalence results to cumulative incidence estimates.-
dc.language.isoen-
dc.publisherPUBLIC LIBRARY SCIENCE-
dc.rights2026 Braeye et al. This is an open access article distributed under the terms of the Creative Commons Attribution License,-
dc.subject.otherHumans-
dc.subject.otherBayes Theorem-
dc.subject.otherMiddle Aged-
dc.subject.otherAdult-
dc.subject.otherAged-
dc.subject.otherAdolescent-
dc.subject.otherYoung Adult-
dc.subject.otherSeverity of Illness Index-
dc.subject.otherBelgium-
dc.subject.otherAge Factors-
dc.subject.otherMale-
dc.subject.otherFemale-
dc.subject.otherSensitivity and Specificity-
dc.subject.otherCOVID-19-
dc.subject.otherSeroconversion-
dc.subject.otherSARS-CoV-2-
dc.subject.otherImmunoglobulin G-
dc.subject.otherCOVID-19 Serological Testing-
dc.subject.otherAntibodies, Viral-
dc.titleFactors influencing SARS-CoV-2 IgG test sensitivity: A Bayesian analysis of seroconversion and seroreversion by time since infection, test, age and disease severity-
dc.typeJournal Contribution-
dc.identifier.issue2-
dc.identifier.volume21-
local.format.pages16-
local.bibliographicCitation.jcatA1-
dc.description.notesBraeye, T (corresponding author), Sciensano, Dept Epidemiol & Publ Hlth, Brussels, Belgium.; Braeye, T (corresponding author), UHasselt, Interuniv Inst Biostat & Stat Bioinformat I Biosta, Data Sci Inst DSI, Hasselt, Belgium.-
dc.description.notestoon.braeye@sciensano.be-
local.publisher.place1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnre0328144-
dc.identifier.doi10.1371/journal.pone.0328144-
dc.identifier.pmid41628173-
dc.identifier.isi001710453300013-
local.provider.typewosris-
local.description.affiliation[Braeye, Toon] Sciensano, Dept Epidemiol & Publ Hlth, Brussels, Belgium.-
local.description.affiliation[Braeye, Toon; Abrams, Steven; Hens, Niel] UHasselt, Interuniv Inst Biostat & Stat Bioinformat I Biosta, Data Sci Inst DSI, Hasselt, Belgium.-
local.description.affiliation[Abrams, Steven] Univ Antwerp, Global Hlth Inst, Family Med & Populat Hlth FAMPOP, Antwerp, Belgium.-
local.description.affiliation[Hens, Niel] Univ Antwerp, Vaccine & Infect Dis Inst VAXINFECTIO, Ctr Hlth Econ Res & Modelling Infect Dis CHERMID, Antwerp, Belgium.-
local.uhasselt.internationalno-
item.fullcitationBRAEYE, Toon; ABRAMS, Steven & HENS, Niel (2026) Factors influencing SARS-CoV-2 IgG test sensitivity: A Bayesian analysis of seroconversion and seroreversion by time since infection, test, age and disease severity. In: Plos One, 21 (2) (Art N° e0328144).-
item.contributorBRAEYE, Toon-
item.contributorABRAMS, Steven-
item.contributorHENS, Niel-
item.contributorMaior, Caio Bezerra Souto-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1932-6203-
crisitem.journal.eissn1932-6203-
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