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Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/25218
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dc.contributor.authorNguyen, Thin-
dc.contributor.authorGupta, Sunil-
dc.contributor.authorRaman, Jaishankar-
dc.contributor.authorBellomo, Rinaldo-
dc.contributor.authorVenkatesh, Svetha-
dc.date2020-09-24-
dc.date.accessioned2020-11-05T03:48:50Z-
dc.date.available2020-11-05T03:48:50Z-
dc.date.issued2020-09-24-
dc.identifier.citationCritical Care and Resuscitation 2020; online first: 24 Septemberen
dc.identifier.issn1441-2772
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/25218-
dc.description.abstractUsing geotagged Twitter data in Victoria, we created a mobility index and studied the changes during the staged restrictions during the coronavirus disease 2019 (COVID-19) pandemic. We describe preliminary evidence that geotagged Twitter data may be used to provide real-time population mobility data and information on the impact of restrictions on such mobility.en
dc.language.isoeng
dc.subjectCOVID-19en
dc.titleGeolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions.en
dc.typeJournal Articleen
dc.identifier.journaltitleCritical Care and Resuscitationen
dc.identifier.affiliationCentre for Integrated Critical Care, Department of Medicine and Radiology, University of Melbourne, Melbourne, VIC, Australiaen
dc.identifier.affiliationApplied Artificial Intelligence Institute (A2I2), Deakin University, Melbourne, VIC, Australiaen
dc.identifier.affiliationCardiac Surgeryen
dc.type.contentTexten
dc.identifier.pubmedid33105920
local.name.researcherBellomo, Rinaldo
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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