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Miranda Kajtazi. Foto

Miranda Kajtazi

Associate professor

Miranda Kajtazi. Foto

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

Author

  • Osama Mansour
  • Miranda Kajtazi
  • Ahmad Ghazawneh

Editor

  • Tung X. Bui

Summary, in English

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 survey 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.

Department/s

  • Department of Informatics
  • Lund University

Publishing year

2022

Language

English

Pages

7151-7160

Publication/Series

Proceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022

Document type

Conference paper

Publisher

IEEE Computer Society

Topic

  • Computer Science

Conference name

55th Annual Hawaii International Conference on System Sciences, HICSS 2022

Conference date

2022-01-03 - 2022-01-07

Conference place

Virtual, Online, United States

Status

Published

ISBN/ISSN/Other

  • ISBN: 9780998133157