Interaction with medical venues in megacities
Interaction with medical venues in megacities
With the vast amounts of data that is being generated today, come new possibilities of understanding patient mobility. In this study, of urban mobility in ten mega cities worldwide, we try to understand the relationship between patients' environment and behaviour with regards to venues that provide some kind of medical care. We analyze longitudinal mobility data set from ten of the world's megacities and investigate urban dynamics and travel patterns in terms of interaction with medical centers. Our goal is to investigate universal patterns and gain an understanding of where people are coming from when they visit such venues and where they go afterwards as well how travel patterns progress throughout the day.
Health Data Science, Location Based Social Networks, Mobility, Patient Behaviour
996-1000
Óskarsdóttir, María
d159ed8f-9dd3-4ff3-8b00-d43579ab71be
Íslind, Anna Sigríður
1a1a6a93-fd04-4c47-a30c-832ddbdee80a
16 June 2020
Óskarsdóttir, María
d159ed8f-9dd3-4ff3-8b00-d43579ab71be
Íslind, Anna Sigríður
1a1a6a93-fd04-4c47-a30c-832ddbdee80a
Óskarsdóttir, María and Íslind, Anna Sigríður
(2020)
Interaction with medical venues in megacities.
Pape-Haugaard, Louise B., Lovis, Christian, Madsen, Inge Cort, Weber, Patrick, Nielsen, Per Hostrup and Scott, Philip
(eds.)
In Digital Personalized Health and Medicine - Proceedings of MIE 2020.
vol. 270,
IOS Press.
.
(doi:10.3233/SHTI200311).
Record type:
Conference or Workshop Item
(Paper)
Abstract
With the vast amounts of data that is being generated today, come new possibilities of understanding patient mobility. In this study, of urban mobility in ten mega cities worldwide, we try to understand the relationship between patients' environment and behaviour with regards to venues that provide some kind of medical care. We analyze longitudinal mobility data set from ten of the world's megacities and investigate urban dynamics and travel patterns in terms of interaction with medical centers. Our goal is to investigate universal patterns and gain an understanding of where people are coming from when they visit such venues and where they go afterwards as well how travel patterns progress throughout the day.
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More information
Published date: 16 June 2020
Additional Information:
Publisher Copyright:
© 2020 European Federation for Medical Informatics (EFMI) and IOS Press.
Venue - Dates:
30th Medical Informatics Europe Conference, MIE 2020, , Geneva, Switzerland, 2020-04-28 - 2020-05-01
Keywords:
Health Data Science, Location Based Social Networks, Mobility, Patient Behaviour
Identifiers
Local EPrints ID: 507828
URI: http://eprints.soton.ac.uk/id/eprint/507828
ISSN: 0926-9630
PURE UUID: 683f278a-aee1-4fac-ae07-bbdc96b23b6c
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Date deposited: 06 Jan 2026 18:02
Last modified: 08 Jan 2026 03:27
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Contributors
Author:
María Óskarsdóttir
Author:
Anna Sigríður Íslind
Editor:
Louise B. Pape-Haugaard
Editor:
Christian Lovis
Editor:
Inge Cort Madsen
Editor:
Patrick Weber
Editor:
Per Hostrup Nielsen
Editor:
Philip Scott
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