Assessing the impact of a health intervention via user-generated Internet content

@article{Johansson2015AssessingTI,
  title={Assessing the impact of a health intervention via user-generated Internet content},
  author={Ingemar Johansson and Vasileios Lampos and Elad Yom-Tov and Richard G. Pebody and Ingemar J. Cox and Jo{\~a}o Gama and Indrė Žliobaitė},
  journal={Data Mining and Knowledge Discovery},
  year={2015},
  volume={29},
  pages={1434-1457}
}
Assessing the effect of a health-oriented intervention by traditional epidemiological methods is commonly based only on population segments that use healthcare services. Here we introduce a complementary framework for evaluating the impact of a targeted intervention, such as a vaccination campaign against an infectious disease, through a statistical analysis of user-generated content submitted on web platforms. Using supervised learning, we derive a nonlinear regression model for estimating the… 

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