Joint European Conference on Machine Learning and Knowledge Discovery in Databases

ECML PKDD 2015: Machine Learning and Knowledge Discovery in Databases pp 237-240 | Cite as

Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform

  • Qian Zhang
  • Corrado Gioannini
  • Daniela Paolotti
  • Nicola Perra
  • Daniela Perrotta
  • Marco Quaggiotto
  • Michele Tizzoni
  • Alessandro Vespignani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9286)

Abstract

FluOutlook is an online platform where multiple data sources are integrated to initialize and train a portfolio of epidemic models for influenza forecast. During the 2014/15 season, the system has been used to provide real-time forecasts for 7 countries in North America and Europe.

Keywords

Real-time forecasting Epidemic modeling Data mining 

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References

  1. 1.
    Ginsberg, J., et al.: Detecting influenza epidemics using search engine query data. Nature 457, 1012–1014 (2009)CrossRefGoogle Scholar
  2. 2.
    Lazer, D., Kennedy, R., King, G., Vespignani, A.: Big data: The parable of Google Flu: traps in big data analysis. Science 343, 1203–1205 (2014)CrossRefMATHGoogle Scholar
  3. 3.
    Balcan, D., et al.: Multiscale mobility networks and the spatial spreading of infectious diseases. Proc. Natl. Acad. Sci. 106, 21484–21489 (2009)CrossRefGoogle Scholar
  4. 4.
    Balcan, D., et al.: Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model. J. Comput. Sci. 1, 132–145 (2010)CrossRefGoogle Scholar
  5. 5.
    Balcan, D., et al.: Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility. BMC Medicine 7, 45 (2009)CrossRefGoogle Scholar
  6. 6.
    Tizzoni, M., et al.: Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm. BMC Medicine 10, 165 (2012)CrossRefGoogle Scholar
  7. 7.
  8. 8.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Qian Zhang
    • 1
  • Corrado Gioannini
    • 2
  • Daniela Paolotti
    • 2
  • Nicola Perra
    • 1
  • Daniela Perrotta
    • 2
  • Marco Quaggiotto
    • 2
  • Michele Tizzoni
    • 2
  • Alessandro Vespignani
    • 1
    • 2
  1. 1.MOBSNortheastern UniversityBostonUSA
  2. 2.ISI FoundationTurinItaly

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