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dc.contributor.authorBell, Jen_AU
dc.contributor.authorBianconi, Gen_AU
dc.contributor.authorButler, Den_AU
dc.contributor.authorCrowcroft, Jen_AU
dc.contributor.authorDavies, P C Wen_AU
dc.contributor.authorHicks, Cen_AU
dc.contributor.authorKim, Hen_AU
dc.contributor.authorKiss, I Zen_AU
dc.contributor.authorDi Lauro, Fen_AU
dc.contributor.authorMaple, Cen_AU
dc.contributor.authorPaul, Aen_AU
dc.contributor.authorProkopenko, Men_AU
dc.contributor.authorTee, Pen_AU
dc.contributor.authorWalker, Sen_AU
dc.date.accessioned2021-04-06T00:55:31Z
dc.date.available2021-04-06T00:55:31Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/2123/24839
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.en_AU
dc.language.isoenen_AU
dc.subjectCOVID-19en_AU
dc.subjectCoronavirusen_AU
dc.titleBeyond COVID-19: network science and sustainable exit strategiesen_AU
dc.typeArticleen_AU
dc.identifier.doi10.1088/2632-072x/abcbea
dc.relation.otherLeverhulme Trusten_AU


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