Vision: Towards real time epidemic vigilance through Online Social Networks: Introducing SNEFT - Social Network Enabled Flu Trends

Proceedings of the 1st ACM Workshop on Mobile Cloud Computing and Services: Social Networks and Beyond, MCS'10, Co-located with ACM MobiSys 2010

Volumn , Issue , 2010, Pages

  Chen, Lingji ^a   Achrekar, Harshavardhan ^b   Liu, Benyuan ^b   Lazarus, Ross ^c  

^a SCIENTIFIC SYSTEMS COMPANY INC   (United States)

^b University of Massachusetts Lowell   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Flu trends; Online Social Networks

Indexed keywords

CENTERS FOR DISEASE CONTROL AND PREVENTIONS; DATA COLLECTION; EXTRACTING INFORMATION; FACEBOOK; INNOVATIVE TECHNOLOGY; MANUAL PROCESS; MONITORING TOOLS; NATIONAL INSTITUTES OF HEALTH; NEAR-REAL TIME; OTHER APPLICATIONS; REAL TIME; SMALL BUSINESS INNOVATION RESEARCHES; SOCIAL NETWORKS;

DATA ACQUISITION; DATA HANDLING; DISEASE CONTROL; DISTRIBUTED COMPUTER SYSTEMS; INNOVATION; MATHEMATICAL MODELS; WIRELESS NETWORKS;

SOCIAL NETWORKING (ONLINE);

EID: 77954989376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1810931.1810935     Document Type: Conference Paper

References (22)

1. D. Balcan, H. Hu, B. Goncalves, P. Bajardi, C. Poletto, J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Broeck, V. Colizza, and A. Vespignani. Seasonal transmission potential and activity peaks of the new influenza a(h1n1): a monte carlo likelihood analysis based on human mobility. BMC Medicine, 7(1):45+, Sep 2009.
2. F. Brauer, L. J. S. Allen, P. V. den Driessche, and J. Wu, editors. Mathematical epidemiology. Springer, 2008.
3. D. Brockmann. Human mobility and spatial disease dynamics. In H. G. Schuster, editor, Reviews of Nonlinear Dynamics and Complexity. Wiley-VCH, June 2009.
4. Centers for Disease Control and Prevention. FluView, a weekly influenza surveillance report, 2009.
5. V. Chandola, A. Banerjee, and V. Kumar. Anomaly detection: A survey. ACM Computing Surveys, September 2009.
6. E. S. Cochran. The quake-catcher network, 2010.
7. A. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B (Methodological), 39(1):1-38, 1977.
8. O. Diekmann and J. A. P. Heesterbeek. Mathematical epidemiology of infectious diseases: model building, analysis and interpretation. Wiley, 2000.
9. P. Dodds and C. Danforth. Measuring the happiness of large-scale written expression: Songs, blogs, and presidents. Journal of Happiness Studies, July 2009.
10. A. Doucet, J. de Freitas, and N. Gordon. Sequential Monte Carlo Methods in Practice. New York: SpringerVerlag, 2001.
11. N. M. Ferguson, D. A. Cummings, S. Cauchemez, C. Fraser, S. Riley, A. Meeyai, S. Iamsirithaworn, and D. S. Burke. Strategies for containing an emerging influenza pandemic in southeast asia. Nature, 437:209-214, 2005.
12. C. for Disease Control and Prevention. Biosense.
13. J. Ginsberg, M. H. Mohebbi, R. S. Patel, L. Brammer, M. S. Smolinski, and L. Brilliant. Detecting influenza epidemics using search engine query data. Nature, 457:1012-1014, 2009.
14. M. Halloran, N. Ferguson, S. Eubank, I. Longini, D. Cummings, B. Lewis, S. Xu, C. Fraser, A. Vullikanti, T. Germann, D. Wagener, R. Beckman, K. Kadau, C. Barrett, C. Macken, D. Burke, and P. Cooley. Modeling targeted layered containment of an influenza pandemic in the united states. Proc Natl Acad Sci USA, 105:4639-4644, 2008.
15. L. Hufnagel, D. Brockmann, and T. Geisel. Forecast and control of epidemics in a globalized world. Proc Natl Acad Sci USA, 101(42):15124-15129, 2004.
16. F. Jordans. WHO working on formulas to model swine flu spread, 2009.
17. M. Lipsitch, T. Cohen, B. Cooper, J. M. Robins, S. Ma, L. James, G. Gopalakrishna, S. K. Chew, C. C. Tan, M. H. Samore, D. Fisman, and M. Murray. Transmission Dynamics and Control of Severe Acute Respiratory Syndrome. Science, 300(5627):1966-1970, 2003.
18. L. Ljung. System Identification: Theory for the User. Prentice Hall, 2009.
19. I. Longini, A. Nizam, S. Xu, K. Ungchusak, W. Hanshaoworakul, D. Cummings, and M. Halloran. Containing pandemic influenza at the source. Science, 309(5737):1083-1087, 2005.
20. E. Morozov. Swine flu: Twitter's power to misinform. Foreign Policy magazine website post.
21. P. Watson, J. Geraci, D. Greenblatt, A. Chadha, and C. McMahon. Realtime disease detection for your city from messages on twitter, 2009.
22. H. J. Wearing, P. Rohani, and M. J. Keeling. Appropriate models for the management of infectious diseases. PLoS Med, 2(7):e174, 07 2005.