Using Mobile Data for Understanding Population Movement and Disease Transmission during Covid-19 Outbreak in the Nordics

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Fältnamn	Indikatorer	Metadata
000		03637naa a2200457 4500
001		oai:DiVA.org:hh-46342
003		SwePub
008		220213s2022 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:lup.lub.lu.se:534b1401-7184-4080-9e7a-b7e92945b004
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-463422 URI
024	7	a https://doi.org/10.24251/HICSS.2022.8602 DOI
024	7	a https://lup.lub.lu.se/record/534b1401-7184-4080-9e7a-b7e92945b0042 URI
040		a (SwePub)hhd (SwePub)lu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a kon2 swepub-publicationtype
100	1	a Mansour, Osamau Lund University,Lunds universitet,Institutionen för informatik,Ekonomihögskolan,Department of Informatics,Lund University School of Economics and Management, LUSEM4 aut0 (Swepub:lu)os1183ma
245	1 0	a Using Mobile Data for Understanding Population Movement and Disease Transmission during Covid-19 Outbreak in the Nordics
264	1	a Honolulu, HI :b University of Hawai'i Press,c 2022
338		a electronic2 rdacarrier
520		a This study investigates the use of mobile data to understand patterns of population movements and disease transmission during the Covid-19 outbreak. It also focuses on understanding the implications of using this data for individual privacy. Using a mixed-methods approach, we present 10 rich qualitative interviews and 412 surevey responses from participants across the Nordics. Our novel results show that the use of mobile data can be characterized by two main categories: validation data and complementary data. We also identify five implications for practice: sharing resources and expertise between health agencies and telecom companies; extended collaboration with multiple network operators;cross-disciplinary collaboration among multiple parties; developing data and privacy guidelines; and developing novel methods and tools to address the trade-off between maintaining individual privacy and obtaining detailed information from mobile data. These implications may inform immediate and future actions to prepare for, mitigate, and control the spread of infectious diseases using mobile data. They also show privacy-driven limitations of mobile data in terms of data accuracy, richness, and scope.
650	7	a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650	7	a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
653		a Technological
653		a Educational
653		a and Organizational Impacts of Pandemics
653		a covid-19
653		a mobile data
653		a pandemic
653		a privacy
700	1	a Kajtazi, Mirandau Lund University,Lunds universitet4 aut0 (Swepub:lu)ics-mak
700	1	a Ghazawneh, Ahmad,d 1984-u Halmstad University,Högskolan i Halmstad,Akademin för informationsteknologi4 aut0 (Swepub:hh)ahmghaz
700	1	a Bui, Tung X.4 edt
710	2	a Institutionen för informatikb Ekonomihögskolan4 org
773	0	t Proceedings of the 55th Annual Hawaii International Conference on System Sciencesd Honolulu, HI : University of Hawai'i Pressg , s. 7151-7160q <7151-7160z 9780998133157
856	4	u https://doi.org/10.24251/HICSS.2022.860y Fulltext
856	4	u https://hh.diva-portal.org/smash/get/diva2:1637352/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-46342
856	4 8	u https://doi.org/10.24251/HICSS.2022.860
856	4 8	u https://lup.lub.lu.se/record/534b1401-7184-4080-9e7a-b7e92945b004

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Av författaren/redakt...: Mansour, Osama; Kajtazi, Miranda; Ghazawneh, Ahmad ...; Bui, Tung X.

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