Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32798
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dc.contributor.authorBORREMANS, Benny-
dc.contributor.authorGamble, Amandine-
dc.contributor.authorPrager, K. C.-
dc.contributor.authorHelman, Sarah K.-
dc.contributor.authorMcClain, Abby M.-
dc.contributor.authorCox, Caitlin-
dc.contributor.authorSavage, Van-
dc.contributor.authorLloyd-Smith, James O.-
dc.date.accessioned2020-12-08T08:24:33Z-
dc.date.available2020-12-08T08:24:33Z-
dc.date.issued2020-
dc.date.submitted2020-12-01T10:24:08Z-
dc.identifier.citationELIFE, 9 (Art N° e60122)-
dc.identifier.urihttp://hdl.handle.net/1942/32798-
dc.description.abstractUnderstanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds inference of true biological patterns. Our meta-analysis leverages 3214 datapoints from 516 individuals in 21 studies to reveal that seroconversion of both IgG and IgM occurs around 12 days post-symptom onset (range 1-40), with extensive individual variation that is not significantly associated with disease severity. IgG and IgM detection probabilities increase from roughly 10% at symptom onset to 98-100% by day 22, after which IgM wanes while IgG remains reliably detectable. RNA detection probability decreases from roughly 90% to zero by day 30, and is highest in feces and lower respiratory tract samples. Our findings provide a coherent evidence base for interpreting clinical diagnostics, and for the mathematical models and serological surveys that underpin public health policies.-
dc.description.sponsorshipBB was supported by the European Commission Horizon 2020 Marie Sklodowska-Curie Actions (grant no. 707840). JOL-S and AG are supported by the Defense Advanced Research Projects Agency DARPA PREEMPT # D18AC00031 and the UCLA AIDS Institute and Charity Treks, and JOL-S and KCP are supported by the U.S. National Science Foundation (DEB-1557022), the Strategic Environmental Research and Development Program (SERDP, RC-2635) of the U.S. Department of Defense and the Cooperative Ecosystem Studies Unit Cooperative Agreement #W9132T1920006. The content of the article does not necessarily reflect the position or the policy of the U.S. government, and no official endorsement should be inferred.-
dc.language.isoen-
dc.publisherELIFE SCIENCES PUBLICATIONS LTD-
dc.rightsCopyright Borremans et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.-
dc.subject.otherViral Load-
dc.subject.otherCoronavirus-
dc.subject.otherResponses-
dc.titleQuantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset-
dc.typeJournal Contribution-
dc.identifier.volume9-
local.bibliographicCitation.jcatA1-
dc.description.notesBorremans, B (corresponding author), Univ Calif Los Angeles, Ecol & Evolutionary Biol Dept, Los Angeles, CA 90095 USA.; Borremans, B (corresponding author), Hasselt Univ, Data Sci Inst, I BioStat, Hasselt, Belgium.; Borremans, B (corresponding author), Univ Antwerp, Evolutionary Ecol Grp, Antwerp, Belgium.-
dc.description.notesbennyborremans@gmail.com-
dc.description.otherBorremans, B (correspondin, g author), Univ Calif Los Angeles, Ecol & Evolutionary Biol Dept, Los Angeles, CA 90095 USA ; Hasselt Univ, Data Sci Inst, I BioStat, Hasselt, Belgium ; Univ Antwerp, Evolutionary Ecol Grp, Antwerp, Belgium. bennyborremans@gmail.com-
local.publisher.placeSHERATON HOUSE, CASTLE PARK, CAMBRIDGE, CB3 0AX, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnre60122-
local.type.programmeH2020-
local.relation.h2020707840-
dc.identifier.doi10.7554/eLife.60122-
dc.identifier.pmid32894217-
dc.identifier.isiWOS:000575352900001-
dc.contributor.orcidBorremans, Benny/0000-0002-7779-4107; Prager,-
dc.contributor.orcidKatherine/0000-0003-0669-0754; McClain, Abby/0000-0001-5000-4198-
dc.identifier.eissn-
local.provider.typewosris-
local.uhasselt.uhpubyes-
local.description.affiliation[Borremans, Benny; Gamble, Amandine; Prager, K. C.; Helman, Sarah K.; Cox, Caitlin; Savage, Van; Lloyd-Smith, James O.] Univ Calif Los Angeles, Ecol & Evolutionary Biol Dept, Los Angeles, CA 90095 USA.-
local.description.affiliation[Borremans, Benny] Hasselt Univ, Data Sci Inst, I BioStat, Hasselt, Belgium.-
local.description.affiliation[Borremans, Benny] Univ Antwerp, Evolutionary Ecol Grp, Antwerp, Belgium.-
local.description.affiliation[McClain, Abby M.] Natl Marine Mammal Fdn, San Diego, CA USA.-
local.description.affiliation[Savage, Van] Univ Calif Los Angeles, Biomath Dept, Los Angeles, CA USA.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationBORREMANS, Benny; Gamble, Amandine; Prager, K. C.; Helman, Sarah K.; McClain, Abby M.; Cox, Caitlin; Savage, Van & Lloyd-Smith, James O. (2020) Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset. In: ELIFE, 9 (Art N° e60122).-
item.validationecoom 2021-
item.contributorBORREMANS, Benny-
item.contributorGamble, Amandine-
item.contributorPrager, K. C.-
item.contributorHelman, Sarah K.-
item.contributorMcClain, Abby M.-
item.contributorCox, Caitlin-
item.contributorSavage, Van-
item.contributorLloyd-Smith, James O.-
crisitem.journal.issn2050-084X-
crisitem.journal.eissn2050-084X-
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