The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.04 - Oct.-Dec. (2012 vol.11)
pp: 36-45
Anmol Madan , MIT Media Lab
Manuel Cebrian , MIT Media Lab
Sai Moturu , MIT Media Lab
Katayoun Farrahi , Johannes Kepler University of Linz
Alex "Sandy" Pentland , MIT Media Lab
ABSTRACT
Mobile phones are a pervasive platform for opportunistic sensing of behaviors and opinions. Three studies use location and communication sensors to model individual behaviors and symptoms, long-term health outcomes, and the diffusion of opinions in a community.
INDEX TERMS
Sensors, Wireless LAN, Bluetooth, Mobile handsets, Mobile communication, Biosensors, Biomedical monitoring, Medical services, computational social science, opportunistic social sensing, health and wellness, behavioral analytics, mobile computing
CITATION
Anmol Madan, Manuel Cebrian, Sai Moturu, Katayoun Farrahi, Alex "Sandy" Pentland, "Sensing the "Health State" of a Community", IEEE Pervasive Computing, vol.11, no. 4, pp. 36-45, Oct.-Dec. 2012, doi:10.1109/MPRV.2011.79
REFERENCES
1. P. Elliott et al., Spatial Epidemiology, Oxford Univ. Press, 2000.
2. D.M. Musher, “How Contagious Are Common Respiratory Tract Infections?” New England J. Medicine, vol. 348, 27 Mar. 2003, pp. 1256–1266.
3. D. Brockmann, “Human Mobility and Spatial Disease Dynamics,” Rev. Nonlinear Dynamics and Complexity, vol. 2, 2009, pp. 1–24.
4. V. Colizza et al., “Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions,” PLoS Medicine, vol. 4, no. 1, 2007; doi:10.1371/journal.pmed.004 0013.
5. J. Epstein et al., “Controlling Pandemic Flu: The Value of International Airtravel Restrictions,” PLoS One, vol. 2, no. 5, 2007; doi:10.1371/journal.pone.0000401.
6. K.P. Smith and N.A. Christakis, “Social Networks and Health,” Ann. Rev. Sociology, vol. 34, 2008, p. 405.
7. D. Centola, “The Spread of Behavior in an Online Social Network Experiment,” Science, vol. 329, no. 5996, 2010, p. 1194.
8. D. Umberson and J.K. Montez, “Social Relationships and Health: A Flashpoint for Health Policy,” J. Health and Social Behavior, vol. 51, 2010, p. S54.
9. T.W. Valente, Social Networks and Health: Models, Methods and Applications, Oxford Univ. Press, 2010.
10. N. Christakis and J. Fowler, “The Spread of Obesity in a Large Social Network Over 32 Years,” New England J. Medicine, vol. 357, no. 4, 2007, p. 370.
11. P. Lazarsfeld and R.K. Merton, “Friendship as a Social Process: A Substantive and Methodological Analysis,” Freedom and Control in Modern Society, M. Berger, T. Abel, and C.H. Page, eds., Van Nostrand, 1954, pp. 18–66.
12. D.M. Blei et al., “Latent Dirichlet Allocation,” J. Machine Learning Research, vol. 3, 2003, pp. 993–1022; http://jmlr.csail.mit.edu/papers/v3blei03a.html .
13. A. Madan et al., “Pervasive Sensing to Model Political Opinions in Face-to-Face Networks,” Proc. 9th Int'l Conf. Pervasive Computing (Pervasive 11), Springer, 2011, pp. 214–231.
7 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool