Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39113
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dc.contributor.authorTORNERI, Andrea-
dc.contributor.authorWILLEM, Lander-
dc.contributor.authorColizza, Vittoria-
dc.contributor.authorKREMER, Cécile-
dc.contributor.authorMeuris, Christelle-
dc.contributor.authorDarcis, Gilles-
dc.contributor.authorHENS, Niel-
dc.contributor.authorLIBIN, Pieter-
dc.date.accessioned2023-01-03T12:22:13Z-
dc.date.available2023-01-03T12:22:13Z-
dc.date.issued2022-
dc.date.submitted2022-12-23T13:50:21Z-
dc.identifier.citationeLife, 11 (Art N° e75593)-
dc.identifier.urihttp://hdl.handle.net/1942/39113-
dc.description.abstractSARS-CoV-2 remains a worldwide emergency. While vaccines have been approved and are widely administered, there is an ongoing debate whether children should be vaccinated or prioritized for vaccination. Therefore, in order to mitigate the spread of more transmissible SARS-CoV-2 variants among children, the use of non-pharmaceutical interventions is still warranted. We investigate the impact of different testing strategies on the SARS-CoV-2 infection dynamics in a primary school environment, using an individual-based modelling approach. Specifically, we consider three testing strategies: (1) symptomatic isolation, where we test symptomatic individuals and isolate them when they test positive, (2) reactive screening, where a class is screened once one symptomatic individual was identified, and (3) repetitive screening, where the school in its entirety is screened on regular time intervals. Through this analysis, we demonstrate that repetitive testing strategies can significantly reduce the attack rate in schools, contrary to a reactive screening or a symptomatic isolation approach. However, when a repetitive testing strategy is in place, more cases will be detected and class and school closures are more easily triggered, leading to a higher number of school days lost per child. While maintaining the epidemic under control with a repetitive testing strategy, we show that absenteeism can be reduced by relaxing class and school closure thresholds.-
dc.description.sponsorshipLW and PJKL acknowledge support from the Research Foundation Flanders (FWO, fwo.be) (postdoctoral fellowships 1234620 N and 1242021 N). NH and PJKL acknowledge support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant number 101003688—EpiPose project). NH and AT received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant number 682540—TransMID project). NH acknowledge funding from the Antwerp Study Centre for Infectious Diseases (ASCID) and the chair in evidence-based vaccinology at the Methusalem-Centre of Excellence consortium VAX-IDEA. CM received funding from the ”Fondation Léon Fredericq” and the ”Fond d’investissement de recherche scientifique” from the CHU of Liège. GD received ”Post-doctorate Clinical Master Specialists” funding from the Fund for Scientific Research (F.R.S.–FNRS, frs-fnrs.be). We used computational resources and services provided by the Flemish Supercomputer Centre (VSC), funded by the FWO and the Flemish Government. This project was supported by the VERDI project (101045989), funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.The funding agencies had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.-
dc.language.isoen-
dc.publishereLIFE SCIENCES PUBL LTD-
dc.rightsCopyright Torneri 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.otherrepetitive testing-
dc.subject.otherepidemic control-
dc.subject.otherCOVID-19-
dc.subject.otherHuman-
dc.titleControlling SARS-CoV-2 in schools using repetitive testing strategies-
dc.typeJournal Contribution-
dc.identifier.volume11-
local.bibliographicCitation.jcatA1-
dc.description.notesTorneri, A; Hens, N (corresponding author), Univ Antwerp, Ctr Hlth Econ Res & Modelling Infect Dis, Antwerp, Belgium.; Torneri, A; Hens, N; Libin, PJK (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Data Sci Inst, Hasselt, Belgium.; Libin, PJK (corresponding author), Vrije Univ Brussel, Dept Comp Sci, Artificial Intelligence Lab, Brussels, Belgium.; Libin, PJK (corresponding author), Univ Leuven, Rega Inst Med Res, Dept Microbiol & Immunol, KU Leuven, Leuven, Belgium.-
dc.description.notesandrea.torneri@uhasselt.be; niel.hens@uhasselt.be; pieter.libin@vub.be-
local.publisher.placeSHERATON HOUSE, CASTLE PARK, CAMBRIDGE, CB3 0AX, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnre75593-
local.type.programmeH2020-
local.relation.h2020101003688-
dc.identifier.doi10.7554/eLife.75593-
dc.identifier.pmid35787310-
dc.identifier.isi000889334100001-
dc.contributor.orcidLibin, Pieter/0000-0003-3906-758X; Torneri, Andrea/0000-0002-4322-0770;-
dc.contributor.orcidColizza, Vittoria/0000-0002-2113-2374-
local.provider.typewosris-
local.description.affiliation[Torneri, Andrea; Willem, Lander; Hens, Niel] Univ Antwerp, Ctr Hlth Econ Res & Modelling Infect Dis, Antwerp, Belgium.-
local.description.affiliation[Torneri, Andrea; Willem, Lander; Kremer, Cecile; Hens, Niel; Libin, Pieter J. K.] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Data Sci Inst, Hasselt, Belgium.-
local.description.affiliation[Colizza, Vittoria] Sorbonne Univ, Pierre Louis Inst Epidemiol & Publ Hlth, INSERM, Paris, France.-
local.description.affiliation[Colizza, Vittoria] Tokyo Inst Technol, Tokyo Tech World Res Hub Initiat WRHI, Tokyo, Japan.-
local.description.affiliation[Meuris, Christelle; Darcis, Gilles] Liege Univ Hosp, Dept Infect Dis, Liege, Belgium.-
local.description.affiliation[Libin, Pieter J. K.] Vrije Univ Brussel, Dept Comp Sci, Artificial Intelligence Lab, Brussels, Belgium.-
local.description.affiliation[Libin, Pieter J. K.] Univ Leuven, Rega Inst Med Res, Dept Microbiol & Immunol, KU Leuven, Leuven, Belgium.-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.validationecoom 2023-
item.contributorTORNERI, Andrea-
item.contributorWILLEM, Lander-
item.contributorColizza, Vittoria-
item.contributorKREMER, Cécile-
item.contributorMeuris, Christelle-
item.contributorDarcis, Gilles-
item.contributorHENS, Niel-
item.contributorLIBIN, Pieter-
item.fullcitationTORNERI, Andrea; WILLEM, Lander; Colizza, Vittoria; KREMER, Cécile; Meuris, Christelle; Darcis, Gilles; HENS, Niel & LIBIN, Pieter (2022) Controlling SARS-CoV-2 in schools using repetitive testing strategies. In: eLife, 11 (Art N° e75593).-
crisitem.journal.issn2050-084X-
crisitem.journal.eissn2050-084X-
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