Post-recovery viral shedding shapes wastewater-based epidemiological inferences

dc.contributor.authorPhan, Tinen
dc.contributor.authorBrozak, Samanthaen
dc.contributor.authorPell, Bruceen
dc.contributor.authorCiupe, Stanca M.en
dc.contributor.authorKe, Ruianen
dc.contributor.authorRibeiro, Ruy M.en
dc.contributor.authorGitter, Annaen
dc.contributor.authorMena, Kristina D.en
dc.contributor.authorPerelson, Alan S.en
dc.contributor.authorKuang, Yangen
dc.contributor.authorWu, Fuqingen
dc.date.accessioned2026-01-12T17:44:39Zen
dc.date.available2026-01-12T17:44:39Zen
dc.date.issued2025-05-22en
dc.description.abstractBackground: The prolonged viral shedding from the gastrointestinal tract is well documented for numerous pathogens, including SARS-CoV-2. However, the impact of prolonged viral shedding on epidemiological inferences using wastewater data is not yet fully understood. Methods: To gain a better understanding of this phenomenon at the population level, we extended a wastewater-based modeling framework that integrates viral shedding dynamics, viral load data in wastewater, case report data, and an epidemic model. Results: Our results indicate that as an outbreak progresses, the viral load from recovered individuals gradually becomes predominant, surpassing that from the infectious population. This phenomenon leads to a dynamic relationship between model-inferred and reported daily incidence over the course of an outbreak. Sensitivity analyses on the duration and rate of viral shedding for recovered individuals reveal that accounting for this phenomenon can considerably advance prediction of transmission peak timing. Furthermore, extensive viral shedding from the recovered population toward the conclusion of an epidemic wave may overshadow viral signals from newly infected cases carrying emerging variants, which can delay the rapid recognition of emerging variants based on viral load. Conclusions: These findings highlight the necessity of integrating post-recovery viral shedding to enhance the accuracy and utility of wastewater-based epidemiological analysis.en
dc.description.versionPublished versionen
dc.format.extent10 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN 193 (Article number)en
dc.identifier.doihttps://doi.org/10.1038/s43856-025-00908-5en
dc.identifier.eissn2730-664Xen
dc.identifier.issn2730-664Xen
dc.identifier.issue1en
dc.identifier.orcidCiupe, Mihaela [0000-0002-5386-6946]en
dc.identifier.otherPMC12098667en
dc.identifier.other10.1038/s43856-025-00908-5 (PII)en
dc.identifier.pmid40405003en
dc.identifier.urihttps://hdl.handle.net/10919/140748en
dc.identifier.volume5en
dc.language.isoenen
dc.publisherSpringer Natureen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/40405003en
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.titlePost-recovery viral shedding shapes wastewater-based epidemiological inferencesen
dc.title.serialCommunications Medicineen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2025-05-12en
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Scienceen
pubs.organisational-groupVirginia Tech/Science/Mathematicsen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Science/COS T&R Facultyen
pubs.organisational-groupVirginia Tech/Interdisciplinary/Center for the Mathematics of Biosystemsen
pubs.organisational-groupVirginia Tech/Interdisciplinaryen

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