Towards detecting influenza epidemics by analyzing Twitter messages

@inproceedings{Culotta2010TowardsDI,
  title={Towards detecting influenza epidemics by analyzing Twitter messages},
  author={Aron Culotta},
  booktitle={SOMA@KDD},
  year={2010}
}
Rapid response to a health epidemic is critical to reduce loss of life. Existing methods mostly rely on expensive surveys of hospitals across the country, typically with lag times of one to two weeks for influenza reporting, and even longer for less common diseases. In response, there have been several recently proposed solutions to estimate a population's health from Internet activity, most notably Google's Flu Trends service, which correlates search term frequency with influenza statistics… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 506 citations. REVIEW CITATIONS

13 Figures & Tables

Topics

Statistics

050100201020112012201320142015201620172018
Citations per Year

506 Citations

Semantic Scholar estimates that this publication has 506 citations based on the available data.

See our FAQ for additional information.