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dc.contributor.authorThambawita, Vajira L B
dc.contributor.authorHicks, Steven
dc.contributor.authorEwan, Jaouen
dc.contributor.authorHalvorsen, Pål
dc.contributor.authorRiegler, Michael
dc.date.accessioned2022-08-26T13:04:26Z
dc.date.available2022-08-26T13:04:26Z
dc.date.created2022-06-24T08:36:20Z
dc.date.issued2022-06-18
dc.identifier.isbn978-3-031-05465-5
dc.identifier.isbn978-3-031-05466-2
dc.identifier.issn2512-1677
dc.identifier.issn2512-1685
dc.identifier.urihttps://hdl.handle.net/11250/3013814
dc.description.abstractContact tracing applications generally rely on Bluetooth data. This type of data works well to determine whether a contact occurred (smartphones were close to each other) but cannot offer the contextual information GPS data can offer. Did the contact happen on a bus? In a building? And of which type? Are some places recurrent contact locations? By answering such questions, GPS data can help develop more accurate and better-informed contact tracing applications. This chapter describes the ideas and approaches implemented for GPS data within the Smittestopp contact tracing application. We will present the pipeline used and the contribution of GPS data for contextual information, using inferred transport modes and surrounding POIs, showcasing the opportunities in the use of GPS information. Finally, we discuss ethical and privacy considerations, as well as some lessons learned.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofSmittestopp − A Case Study on Digital Contact Tracing
dc.relation.ispartofseriesSimula SpringerBriefs on Computing;Volume 11
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectSmittestoppen_US
dc.subjectPosition dataen_US
dc.subjectGPS dataen_US
dc.subjectData analysesen_US
dc.subjectContact tracingen_US
dc.subjectInfection controlen_US
dc.titleSmittestopp analytics: Analysis of position dataen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2022en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1007/978-3-031-05466-2_4
dc.identifier.cristin2034701
dc.source.journalSimula SpringerBriefs on Computingen_US
dc.source.volume11en_US
dc.source.issue11en_US
dc.source.pagenumber63-79en_US


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