Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31934
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dc.contributor.authorTORNERI, Andrea-
dc.contributor.authorLIBIN, Pieter-
dc.contributor.authorVANDERLOCHT, Joris-
dc.contributor.authorVandamme, Anne-Mieke-
dc.contributor.authorNeyts, Johan-
dc.contributor.authorHENS, Niel-
dc.date.accessioned2020-09-17T17:00:24Z-
dc.date.available2020-09-17T17:00:24Z-
dc.date.issued2020-
dc.date.submitted2020-09-09T11:19:02Z-
dc.identifier.citationBMC MEDICINE, 18 (1), (Art N° 191)-
dc.identifier.urihttp://hdl.handle.net/1942/31934-
dc.description.abstractBackground: Current outbreaks of COVID-19 are threatening the health care systems of several countries around the world. Control measures, based on isolation, contact tracing, and quarantine, can decrease and delay the burden of the ongoing epidemic. With respect to the ongoing COVID-19 epidemic, recent modeling work shows that these interventions may be inadequate to control local outbreaks, even when perfect isolation is assumed. The effect of infectiousness prior to symptom onset combined with asymptomatic infectees further complicates the use of contact tracing. We aim to study whether antivirals, which decrease the viral load and reduce infectiousness, could be integrated into control measures in order to augment the feasibility of controlling the epidemic. Methods: Using a simulation-based model of viral transmission, we tested the efficacy of different intervention measures to control local COVID-19 outbreaks. For individuals that were identified through contact tracing, we evaluate two procedures: monitoring individuals for symptoms onset and testing of individuals. Additionally, we investigate the implementation of an antiviral compound combined with the contact tracing process. Results: For an infectious disease in which asymptomatic and presymptomatic infections are plausible, an intervention measure based on contact tracing performs better when combined with testing instead of monitoring, provided that the test is able to detect infections during the incubation period. Antiviral drugs, in combination with contact tracing, quarantine, and isolation, result in a significant decrease of the final size and the peak incidence, and increase the probability that the outbreak will fade out. Conclusion: In all tested scenarios, the model highlights the benefits of control measures based on the testing of traced individuals. In addition, the administration of an antiviral drug, together with quarantine, isolation, and contact tracing, is shown to decrease the spread of the epidemic. This control measure could be an effective strategy to control local and re-emerging outbreaks of COVID-19.-
dc.description.sponsorshipThis work is funded by the EpiPose project from the European Union's SC1-PHE-CORONAVIRUS-2020 programme, project number 101003688, by the European Union's Horizon 2020 research and innovation programme (grant agreement 682540-TransMID), the European Union's Horizon 2020 research and innovation program under grant agreement no. 101003627 (SCORE project), and the Stichting Antoine Faes. A.T. acknowledges support from the special research fund of the University of Antwerp. P.L. was supported by funding from the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme.-
dc.language.isoen-
dc.publisherBMC-
dc.rights© The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.-
dc.subject.otherVIRUS-
dc.titleA prospect on the use of antiviral drugs to control local outbreaks of COVID-19-
dc.typeJournal Contribution-
dc.identifier.issue1-
dc.identifier.volume18-
local.format.pages9-
local.bibliographicCitation.jcatA1-
dc.description.notesHens, N (corresponding author), Univ Antwerp, Ctr Hlth Econ Res & Modelling Infect Dis, Antwerp, Belgium.; Hens, N (corresponding author), Hasselt Univ, Interuniv Inst Biostatist & Stat Bioinformat, Data Sci Inst, Hasselt, Belgium.-
dc.description.notesniel.hens@uhasselt.be-
dc.description.otherHens, N (corresponding author), Univ Antwerp, Ctr Hlth Econ Res & Modelling Infect Dis, Antwerp, Belgium; Hasselt Univ, Interuniv Inst Biostatist & Stat Bioinformat, Data Sci Inst, Hasselt, Belgium. niel.hens@uhasselt.be-
local.publisher.placeCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr191-
dc.identifier.doi10.1186/s12916-020-01636-4-
dc.identifier.pmid32586336-
dc.identifier.isiWOS:000545683800002-
dc.contributor.orcidNEYTS, Johan/0000-0002-0033-7514-
dc.identifier.eissn-
local.provider.typewosris-
local.uhasselt.uhpubyes-
local.description.affiliation[Torneri, Andrea; Hens, Niel] Univ Antwerp, Ctr Hlth Econ Res & Modelling Infect Dis, Antwerp, Belgium.-
local.description.affiliation[Libin, Pieter; Vanderlocht, Joris; Hens, Niel] Hasselt Univ, Interuniv Inst Biostatist & Stat Bioinformat, Data Sci Inst, Hasselt, Belgium.-
local.description.affiliation[Libin, Pieter] Vrije Univ Brussel, Dept Comp Sci, Artificial Intelligence Lab, Brussels, Belgium.-
local.description.affiliation[Libin, Pieter; Vandamme, Anne-Mieke; Neyts, Johan] KU Leuven Univ Leuven, Rega Inst Med Res Clin & Epidemiol Virol, Dept Microbiol & Immunol, Leuven, Belgium.-
local.description.affiliation[Vandamme, Anne-Mieke] Univ Nova Lisboa, Inst Higiene & Med Trop, Ctr Global Hlth & Trop Med, Unidade Microbiol, Lisbon, Portugal.-
item.validationecoom 2021-
item.contributorTORNERI, Andrea-
item.contributorLIBIN, Pieter-
item.contributorVANDERLOCHT, Joris-
item.contributorVandamme, Anne-Mieke-
item.contributorNeyts, Johan-
item.contributorHENS, Niel-
item.accessRightsOpen Access-
item.fullcitationTORNERI, Andrea; LIBIN, Pieter; VANDERLOCHT, Joris; Vandamme, Anne-Mieke; Neyts, Johan & HENS, Niel (2020) A prospect on the use of antiviral drugs to control local outbreaks of COVID-19. In: BMC MEDICINE, 18 (1), (Art N° 191).-
item.fulltextWith Fulltext-
crisitem.journal.issn1741-7015-
crisitem.journal.eissn1741-7015-
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