Title |
Mobile Network Data for Public Health: Opportunities and Challenges
|
---|---|
Published in |
Frontiers in Public Health, August 2015
|
DOI | 10.3389/fpubh.2015.00189 |
Pubmed ID | |
Authors |
Nuria Oliver, Aleksandar Matic, Enrique Frias-Martinez |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 14 | 22% |
United States | 7 | 11% |
United Kingdom | 3 | 5% |
Germany | 2 | 3% |
France | 1 | 2% |
Australia | 1 | 2% |
Italy | 1 | 2% |
India | 1 | 2% |
Uganda | 1 | 2% |
Other | 5 | 8% |
Unknown | 27 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 49 | 78% |
Scientists | 10 | 16% |
Practitioners (doctors, other healthcare professionals) | 3 | 5% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 2% |
United States | 2 | 2% |
Brazil | 1 | <1% |
Portugal | 1 | <1% |
Australia | 1 | <1% |
Poland | 1 | <1% |
Unknown | 97 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 21% |
Student > Ph. D. Student | 15 | 14% |
Student > Master | 13 | 12% |
Student > Bachelor | 7 | 7% |
Professor | 5 | 5% |
Other | 22 | 21% |
Unknown | 21 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 15% |
Social Sciences | 12 | 11% |
Engineering | 9 | 9% |
Medicine and Dentistry | 9 | 9% |
Psychology | 5 | 5% |
Other | 26 | 25% |
Unknown | 28 | 27% |