Detecting Suspected Epidemic Cases Using Trajectory Big Data

@article{Zhou2020DetectingSE,
  title={Detecting Suspected Epidemic Cases Using Trajectory Big Data},
  author={Chuansai Zhou and Wen Yuan and Jun Wang and Hai-feng Xu and Yong Jiang and Xinmin Wang and Qiuzi Wen and Pingwen Zhang},
  journal={CSIAM Transactions on Applied Mathematics},
  year={2020}
}
  • Chuansai Zhou, Wen Yuan, +5 authors P. Zhang
  • Published 1 April 2020
  • Computer Science, Mathematics, Biology
  • CSIAM Transactions on Applied Mathematics
Emerging infectious diseases are existential threats to human health and global stability. The recent outbreaks of the novel coronavirus COVID-19 have rapidly formed a global pandemic, causing hundreds of thousands of infections and huge economic loss. The WHO declares that more precise measures to track, detect and isolate infected people are among the most effective means to quickly contain the outbreak. Based on trajectory provided by the big data and the mean field theory, we establish an… Expand

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