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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...

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Detalles Bibliográficos
Autores principales: Oliver, Nuria, Matic, Aleksandar, Frias-Martinez, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
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.
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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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