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dc.contributor.authorJuric, Radmila
dc.contributor.authorKim, Inhwa
dc.contributor.authorPanneerselvam, Hemalatha
dc.contributor.authorTesanovic, Igor
dc.date.accessioned2018-02-19T12:31:30Z
dc.date.available2018-02-19T12:31:30Z
dc.date.created2017-09-21T13:17:56Z
dc.date.issued2017
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/11250/2485675
dc.description.abstractThis paper investigates possibilities of enhancing everyday decision making in global health management, by looking at the power of twitter data and the use of big data platforms in order to collect and interpret excessive amounts of information generated in a short period of time. We use the scenario of the ZIKA virus because it has triggered a massive response through tweets and retweets. Our goal is to find out a) if we can make sense of twitter data in a global health scare and b) if information available on Twitter could help in the management and containment of the spread of the virus. The results of manual content analysis of selected tweets has been juxtaposed with the results of the manipulation of the same tweets through the Hadoop platform. We wanted to know which approach should be used for addressing public concerns about the ZIKA virus and answer a) and b) at the same time. Both approaches have their advantages and drawbacks. Therefore this paper should be used as an overview of options available for public health organizations, when they need to manipulate social media data in situations where we need to manage health on a global scalenb_NO
dc.language.isoengnb_NO
dc.relation.ispartofProceedings of the 50th Hawaii International Conference on System Sciences, HICSS 2017
dc.relation.urihttp://hdl.handle.net/10125/41553
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleAnalysis of ZIKA Virus Tweets: Could Hadoop Platform Help in Global Health Management?nb_NO
dc.typeChapternb_NO
dc.typeConference objectnb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber3263-3272nb_NO
dc.identifier.cristin1496454
cristin.unitcode222,58,6,0
cristin.unitcode222,58,0,0
cristin.unitnameInstitutt for realfag og industrisystemer
cristin.unitnameFakultet for teknologi, naturvitenskap og maritime fag
cristin.ispublishedtrue
cristin.fulltextoriginal


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal