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2021-02-02Zeitschriftenartikel DOI: 10.18452/25173
Beyond COVID-19: network science and sustainable exit strategies
dc.contributor.authorBell, James
dc.contributor.authorBianconi, Ginestra
dc.contributor.authorButler, David
dc.contributor.authorCrowcroft, Jon
dc.contributor.authorDavies, Paul
dc.contributor.authorHicks, Chris
dc.contributor.authorKim, Hyunju
dc.contributor.authorKiss, Istvan
dc.contributor.authorDi Lauro, F
dc.contributor.authorMaple, Carsten
dc.contributor.authorPaul, Ayan
dc.contributor.authorProkopenko, Mikhail
dc.contributor.authorTee, P
dc.contributor.authorWalker, Sara
dc.date.accessioned2022-08-18T13:51:04Z
dc.date.available2022-08-18T13:51:04Z
dc.date.issued2021-02-02none
dc.date.updated2022-02-01T14:31:41Z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/25865
dc.description.abstractOn May 28th and 29th, a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc. The aim was to bring together leading scientists with an interest in network science and epidemiology to attempt to inform public policy in response to the COVID-19 pandemic. Epidemics are at their core a process that progresses dynamically upon a network, and are a key area of study in network science. In the course of the workshop a wide survey of the state of the subject was conducted. We summarize in this paper a series of perspectives of the subject, and where the authors believe fruitful areas for future research are to be found.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectnetwork epidemiologyeng
dc.subjectnetwork scienceeng
dc.subjectCOVID-19eng
dc.subjectepidemic containment strategyeng
dc.subject.ddc510 Mathematiknone
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleBeyond COVID-19: network science and sustainable exit strategiesnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/25865-7
dc.identifier.doihttp://dx.doi.org/10.18452/25173
dc.type.versionpublishedVersionnone
local.edoc.pages25none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn2632-072X
dcterms.bibliographicCitation.doi10.1088/2632-072X/abcbeanone
dcterms.bibliographicCitation.journaltitleJournal of physics: complexitynone
dcterms.bibliographicCitation.volume2none
dcterms.bibliographicCitation.issue2none
dcterms.bibliographicCitation.articlenumber021001none
dcterms.bibliographicCitation.originalpublishernameIOP Publ.none
dcterms.bibliographicCitation.originalpublisherplaceBristolnone
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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