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Using Mobile Data f...
Using Mobile Data for Understanding Population Movement and Disease Transmission during Covid-19 Outbreak in the Nordics
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- Mansour, Osama (författare)
- Lund University,Lunds universitet,Institutionen för informatik,Ekonomihögskolan,Department of Informatics,Lund University School of Economics and Management, LUSEM
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- Kajtazi, Miranda (författare)
- Lund University,Lunds universitet
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- Ghazawneh, Ahmad, 1984- (författare)
- Halmstad University,Högskolan i Halmstad,Akademin för informationsteknologi
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Bui, Tung X. (redaktör/utgivare)
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(creator_code:org_t)
- Honolulu, HI : University of Hawai'i Press, 2022
- 2022
- Engelska.
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Ingår i: Proceedings of the 55th Annual Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawai'i Press. - 9780998133157 ; , s. 7151-7160
- Relaterad länk:
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https://doi.org/10.2...
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https://hh.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.2...
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https://lup.lub.lu.s...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Technological
- Educational
- and Organizational Impacts of Pandemics
- covid-19
- mobile data
- pandemic
- privacy
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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