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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4528087/ https://www.ncbi.nlm.nih.gov/pubmed/26301211 http://dx.doi.org/10.3389/fpubh.2015.00189 |
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author | Oliver, Nuria Matic, Aleksandar Frias-Martinez, Enrique |
author_facet | Oliver, Nuria Matic, Aleksandar Frias-Martinez, Enrique |
author_sort | Oliver, Nuria |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4528087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45280872015-08-21 Mobile Network Data for Public Health: Opportunities and Challenges Oliver, Nuria Matic, Aleksandar Frias-Martinez, Enrique Front Public Health Public Health 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. Frontiers Media S.A. 2015-08-07 /pmc/articles/PMC4528087/ /pubmed/26301211 http://dx.doi.org/10.3389/fpubh.2015.00189 Text en Copyright © 2015 Oliver, Matic and Frias-Martinez. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Oliver, Nuria Matic, Aleksandar Frias-Martinez, Enrique Mobile Network Data for Public Health: Opportunities and Challenges |
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 | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4528087/ https://www.ncbi.nlm.nih.gov/pubmed/26301211 http://dx.doi.org/10.3389/fpubh.2015.00189 |
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