The TrackDisease repository contains data and code for detecting and tracking disease outbreaks in real-time through social media. The data and method implemented here are described in this paper.
If you find the data and code in this respository useful for your research, please cite our paper:
@inproceedings{xie2013detecting,
title={Detecting and tracking disease outbreaks by mining social media data},
author={Xie, Yusheng and Chen, Zhengzhang and Cheng, Yu and Zhang, Kunpeng and Agrawal, Ankit and Liao, Wei-keng and Choudhary, Alok},
booktitle={Twenty-Third International Joint Conference on Artificial Intelligence},
year={2013}
}
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Huiji Gao's website provides good location-based spatio-temporal social media data, which is like our instagram dataset but not restricted to disease issues. Find out at http://www.nini2yoyo.com
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Title: Forecast Oriented Classification of Spatio-Temporal Extreme Events Authors: Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza Samatova, Alok Choudhary