Publication:
Assessing Bias in Smartphone Mobility Estimates in Low Income Countries

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dc.contributor.authorMilusheva, Sveta
dc.contributor.authorBjörkegren, Daniel
dc.contributor.authorViotti, Leonardo
dc.date.accessioned2021-11-19T15:05:59Z
dc.date.available2021-11-19T15:05:59Z
dc.date.issued2021-06-28
dc.description.abstractIt has become common for governments and practitioners to measure mobility using data from smartphones, especially during the COVID-19 pandemic. Yet in countries where few people have smartphones, or use mobile internet, the movement of smartphones may not be a good indicator of the movement of the population. This paper develops a framework for approaching potential bias that can arise when measuring mobility with smartphones. Using mobile phone operator records in Uganda, we compare the mobility of smartphones and the basic and feature phones that are more common. Smartphones have different travel patterns, and decrease mobility substantially more in response to a COVID-19 lockdown. This suggests caution when interpreting smartphone mobility estimates in contexts with low adoption.en
dc.identifier.citationProceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable Societies
dc.identifier.doi10.1596/36611
dc.identifier.urihttps://hdl.handle.net/10986/36611
dc.publisherAssociation for Computing Machinery
dc.rightsCC BY-NC-ND 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/igo
dc.subjectSMARTPHONE
dc.subjectMOBILITY ESTIMATION
dc.subjectCORONAVIRUS
dc.subjectCOVID-19
dc.subjectPANDEMIC IMPACT
dc.subjectLOCKDOWN
dc.subjectMOBILE INTERNET
dc.titleAssessing Bias in Smartphone Mobility Estimates in Low Income Countriesen
dc.typeJournal Articleen
dc.typeArticle de journalfr
dc.typeArtículo de revistaes
dspace.entity.typePublication
okr.associatedcontenthttps://dl.acm.org/doi/10.1145/3460112.3471968 Journal website (version of record)en
okr.date.disclosure2021-11-19
okr.date.doiregistration2025-05-06T11:28:20.904970Z
okr.doctypePublications & Research
okr.doctypePublications & Research::Journal Article
okr.externalcontentExternal Content
okr.guid387771643342386425
okr.identifier.doi10.1145/3460112.3471968
okr.identifier.report168212
okr.journal.nbpages364-78
okr.language.supporteden
okr.peerreviewAcademic Peer Review
okr.region.administrativeAfrica
okr.region.administrativeAfrica Eastern and Southern (AFE)
okr.region.countryUganda
okr.topicInformation and Communication Technologies::ICT Data and Statistics
okr.topicInformation and Communication Technologies::Information Technology
okr.topicInformation and Communication Technologies::Telecommunications Infrastructure
okr.unitDIME Development Impact Evaluation, Development Research Group
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