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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1038/s41562-020-0931-9</dc:identifier><dc:language>eng</dc:language><dc:creator>Aleta, A.</dc:creator><dc:creator>Martín-Corral, D.</dc:creator><dc:creator>Pastore y Piontti, A.</dc:creator><dc:creator>Ajelli, M.</dc:creator><dc:creator>Litvinova, M.</dc:creator><dc:creator>Chinazzi, M.</dc:creator><dc:creator>Dean, N.E.</dc:creator><dc:creator>Halloran, M.E.</dc:creator><dc:creator>Longini Jr, I.M.</dc:creator><dc:creator>Merler, S.</dc:creator><dc:creator>Pentland, A.</dc:creator><dc:creator>Vespignani, A.</dc:creator><dc:creator>Moro, E.</dc:creator><dc:creator>Moreno, Y.</dc:creator><dc:title>Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19</dc:title><dc:identifier>ART-2020-119821</dc:identifier><dc:description>While severe social-distancing measures have proven effective in slowing the coronavirus disease 2019 (COVID-19) pandemic, second-wave scenarios are likely to emerge as restrictions are lifted. Here we integrate anonymized, geolocalized mobility data with census and demographic data to build a detailed agent-based model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in the Boston metropolitan area. We find that a period of strict social distancing followed by a robust level of testing, contact-tracing and household quarantine could keep the disease within the capacity of the healthcare system while enabling the reopening of economic activities. Our results show that a response system based on enhanced testing and contact tracing can have a major role in relaxing social-distancing interventions in the absence of herd immunity against SARS-CoV-2.</dc:description><dc:date>2020</dc:date><dc:source>http://zaguan.unizar.es/record/127552</dc:source><dc:doi>10.1038/s41562-020-0931-9</dc:doi><dc:identifier>http://zaguan.unizar.es/record/127552</dc:identifier><dc:identifier>oai:zaguan.unizar.es:127552</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA/E36-17R-FENOL</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/FIS2016-78904-C3-3-P</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/FIS2017-87519-P</dc:relation><dc:identifier.citation>Nature human behaviour 4 (2020), 964-971</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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