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dc.contributor.authorPlazas,, Adrià
dc.contributor.authorMalvestio, Irene
dc.contributor.authorStarnini, Michele
dc.contributor.authorDíaz Guilera, Albert
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.date.accessioned2022-05-05T14:05:33Z
dc.date.available2022-05-05T14:05:33Z
dc.date.issued2021-04-01
dc.identifier.citationPlazas [et al.]. Modeling partial lockdowns in multiplex networks using partition strategies. "Applied Network Science", 1 Abril 2021, vol. 6, núm. 1, p. 27:1-27:15.
dc.identifier.issn2364-8228
dc.identifier.otherhttp://hdl.handle.net/2445/182671
dc.identifier.urihttp://hdl.handle.net/2117/366893
dc.description.abstractNational stay-at-home orders, or lockdowns, were imposed in several countries to drastically reduce the social interactions mainly responsible for the transmission of the SARS-CoV-2 virus. Despite being essential to slow down the COVID-19 pandemic, these containment measures are associated with an economic burden. In this work, we propose a network approach to model the implementation of a partial lockdown, breaking the society into disconnected components, or partitions. Our model is composed by two main ingredients: a multiplex network representing human contacts within different contexts, formed by a Household layer, a Work layer, and a Social layer including generic social interactions, and a Susceptible-Infected-Recovered process that mimics the epidemic spreading. We compare different partition strategies, with a twofold aim: reducing the epidemic outbreak and minimizing the economic cost associated to the partial lockdown. We also show that the inclusion of unconstrained social interactions dramatically increases the epidemic spreading, while different kinds of restrictions on social interactions help in keeping the benefices of the network partition.
dc.language.isoeng
dc.publisherSpringer Nature
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Física
dc.subject.lcshCOVID-19 (Disease)
dc.subject.lcshEpidemiology
dc.titleModeling partial lockdowns in multiplex networks using partition strategies
dc.typeArticle
dc.subject.lemacCOVID-19 (Malaltia)
dc.subject.lemacEpidemiologia
dc.contributor.groupUniversitat Politècnica de Catalunya. SIMCON - First-principles approaches to condensed matter physics: quantum effects and complexity
dc.identifier.doi10.1007/s41109-021-00366-7
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://appliednetsci.springeropen.com/articles/10.1007/s41109-021-00366-7
dc.rights.accessOpen Access
local.identifier.drac33222432
dc.description.versionPostprint (published version)
local.citation.authorPlazas, , A.; Malvestio, I.; Starnini, M.; Díaz-Guilera, A.
local.citation.publicationNameApplied Network Science
local.citation.volume6
local.citation.number1
local.citation.startingPage27:1
local.citation.endingPage27:15


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