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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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2015-08-01
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Series: | Frontiers in Public Health |
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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. |
first_indexed | 2024-04-12T00:26:25Z |
format | Article |
id | doaj.art-5b114daef5e6419584a4e42b3bd4790a |
institution | Directory Open Access Journal |
issn | 2296-2565 |
language | English |
last_indexed | 2024-04-12T00:26:25Z |
publishDate | 2015-08-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Public Health |
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 |