Mobile Network Data for Public-Health: Opportunities and Challenges

The ubiquity of mobile phones worldwide is generating an unprecedented amount of human behavioral data both at an individual and aggregated levels. The study of this data as a rich source of information about human behavior emerged almost a decade ago. Since then it has grown into a fertile area of...

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Main Authors: Nuria eOliver, Aleksandar eMatic, Enrique eFrias-Martinez
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-08-01
Series:Frontiers in Public Health
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpubh.2015.00189/full
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author Nuria eOliver
Aleksandar eMatic
Enrique eFrias-Martinez
author_facet Nuria eOliver
Aleksandar eMatic
Enrique eFrias-Martinez
author_sort Nuria eOliver
collection DOAJ
description The ubiquity of mobile phones worldwide is generating an unprecedented amount of human behavioral data both at an individual and aggregated levels. The study of this data as a rich source of information about human behavior emerged almost a decade ago. Since then it has grown into a fertile area of research named computational social sciences with a wide variety of applications in different fields such as social networks, urban and transport planning, economic development, emergency relief and, recently, public health. In this paper we briefly describe the state of the art on using mobile phone data for public health, and present the opportunities and challenges that this kind of data presents for public health.
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spelling doaj.art-5b114daef5e6419584a4e42b3bd4790a2022-12-22T03:55:30ZengFrontiers Media S.A.Frontiers in Public Health2296-25652015-08-01310.3389/fpubh.2015.00189148202Mobile Network Data for Public-Health: Opportunities and ChallengesNuria eOliver0Aleksandar eMatic1Enrique eFrias-Martinez2TelefonicaTelefonicaTelefonica R&DThe ubiquity of mobile phones worldwide is generating an unprecedented amount of human behavioral data both at an individual and aggregated levels. The study of this data as a rich source of information about human behavior emerged almost a decade ago. Since then it has grown into a fertile area of research named computational social sciences with a wide variety of applications in different fields such as social networks, urban and transport planning, economic development, emergency relief and, recently, public health. In this paper we briefly describe the state of the art on using mobile phone data for public health, and present the opportunities and challenges that this kind of data presents for public health.http://journal.frontiersin.org/Journal/10.3389/fpubh.2015.00189/fullMental HealthPublic HealthMobile phone dataHuman behavior modelingMobility characterizationhuman behavioral data
spellingShingle Nuria eOliver
Aleksandar eMatic
Enrique eFrias-Martinez
Mobile Network Data for Public-Health: Opportunities and Challenges
Frontiers in Public Health
Mental Health
Public Health
Mobile phone data
Human behavior modeling
Mobility characterization
human behavioral data
title Mobile Network Data for Public-Health: Opportunities and Challenges
title_full Mobile Network Data for Public-Health: Opportunities and Challenges
title_fullStr Mobile Network Data for Public-Health: Opportunities and Challenges
title_full_unstemmed Mobile Network Data for Public-Health: Opportunities and Challenges
title_short Mobile Network Data for Public-Health: Opportunities and Challenges
title_sort mobile network data for public health opportunities and challenges
topic Mental Health
Public Health
Mobile phone data
Human behavior modeling
Mobility characterization
human behavioral data
url http://journal.frontiersin.org/Journal/10.3389/fpubh.2015.00189/full
work_keys_str_mv AT nuriaeoliver mobilenetworkdataforpublichealthopportunitiesandchallenges
AT aleksandarematic mobilenetworkdataforpublichealthopportunitiesandchallenges
AT enriqueefriasmartinez mobilenetworkdataforpublichealthopportunitiesandchallenges