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http://hdl.handle.net/10261/235109
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dc.contributor.author | Moreno López, Jesús A. | es_ES |
dc.contributor.author | Arregui García, Beatriz | es_ES |
dc.contributor.author | Bentkowski, Piotr | es_ES |
dc.contributor.author | Bioglio, Livio | es_ES |
dc.contributor.author | Pinotti, Francesco | es_ES |
dc.contributor.author | Boëlle, Pierre-Yves | es_ES |
dc.contributor.author | Barrat, Alain | es_ES |
dc.contributor.author | Colizza, Vittoria | es_ES |
dc.contributor.author | Poletto, Chiara | es_ES |
dc.date.accessioned | 2021-03-17T07:55:52Z | - |
dc.date.available | 2021-03-17T07:55:52Z | - |
dc.date.issued | 2021-03-04 | - |
dc.identifier.citation | MedRxiv: 10.1101/2020.07.22.20158352 (2021) | es_ES |
dc.identifier.uri | http://hdl.handle.net/10261/235109 | - |
dc.description.abstract | The efficacy of digital contact tracing against COVID-19 epidemic is debated: smartphone penetration is limited in many countries, non-uniform across age groups, with low coverage among elderly, the most vulnerable to SARS-CoV-2. We developed an agent-based model to precise the impact of digital contact tracing and household isolation on COVID-19 transmission. The model, calibrated on French population, integrates demographic, contact-survey and epidemiological information to describe the risk factors for exposure and transmission of COVID-19. We explored realistic levels of case detection, app adoption, population immunity and transmissibility. Assuming a reproductive ratio R = 2.6 and 50% detection of clinical cases, a ~20% app adoption reduces peak incidence by ~35%. With R = 1.7, >30% app adoption lowers the epidemic to manageable levels. Higher coverage among adults, playing a central role in COVID-19 transmission, yields an indirect benefit for elderly. These results may inform the inclusion of digital contact tracing within a COVID-19 response plan. | es_ES |
dc.description.sponsorship | This study was partially supported by the ANR project DATAREDUX (ANR-19-CE46-0008-01) to AB, VC and PYB; EU H2020 grants MOOD (H2020-874850) to VC, CP, and PYB, and RECOVER (H2020-101003589) to VC; the Municipality of Paris (https://www.paris.fr/) through the programme Emergence(s) to JAML, BAG, PB, FP and CP; the ANR and Fondation de France through the project NoCOV (00105995) to PYB, CP; the Spanish Ministry of Science and Innovation to JAML and BAG, the AEI and FEDER (EU) under the grant PACSS (RTI2018-093732-B-C22) JAML and BAG; the Maria de Maeztu program for Units of Excellence in R&D (MDM-2017-0711) to JAML and BAG. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MedRxiv | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/874850 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093732-B-C22 | es_ES |
dc.relation | RTI2018-093732-B-C22/AEI/10.13039/501100011033 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MDM-2017-0711 | es_ES |
dc.relation | MDM-2017-0711/AEI/10.13039/501100011033 | es_ES |
dc.relation.isversionof | Publisher's version | es_ES |
dc.rights | openAccess | es_ES |
dc.title | Anatomy of digital contact tracing: role of age, transmission setting, adoption and case detection | es_ES |
dc.type | preprint | es_ES |
dc.identifier.doi | 10.1101/2020.07.22.20158352 | - |
dc.description.peerreviewed | No | es_ES |
dc.relation.publisherversion | https://doi.org/10.1101/2020.07.22.20158352 | es_ES |
dc.rights.license | https://creativecommons.org/licenses/by-nd/4.0/ | es_ES |
dc.contributor.funder | Agence Nationale de la Recherche (France) | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Fondation de France | es_ES |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (España) | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación (España) | es_ES |
dc.relation.csic | Sí | es_ES |
oprm.item.hasRevision | no ko 0 false | * |
dc.identifier.funder | http://dx.doi.org/10.13039/501100001665 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100000780 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100011033 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100004431 | es_ES |
dc.contributor.orcid | Poletto, Chiara [0000-0002-4051-1716] | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_816b | es_ES |
item.openairetype | preprint | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_816b | - |
item.cerifentitytype | Publications | - |
Aparece en las colecciones: | (PTI Salud Global) Colección Especial COVID-19 (IFISC) Artículos |
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2020.07.22.20158352v2.full.pdf | 1,4 MB | Adobe PDF | Visualizar/Abrir |
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