Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis

@inproceedings{Lu2018AccurateIM,
  title={Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis},
  author={Fred Lu and Suqin Hou and Kristin Baltrusaitis and Manan Shah and Jure Leskovec and Rok Sosic and Jared B. Hawkins and John S. Brownstein and Giuseppe Conidi and Julia E. Gunn and Josh Gray and Anna Zink and Mauricio Santillana},
  booktitle={JMIR public health and surveillance},
  year={2018}
}
BACKGROUND Influenza outbreaks pose major challenges to public health around the world, leading to thousands of deaths a year in the United States alone. Accurate systems that track influenza activity at the city level are necessary to provide actionable information that can be used for clinical, hospital, and community outbreak preparation. OBJECTIVE Although Internet-based real-time data sources such as Google searches and tweets have been successfully used to produce influenza activity… CONTINUE READING
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