Communications Physics (Nov 2022)

Use of temporal contact graphs to understand the evolution of COVID-19 through contact tracing data

  • Mincheng Wu,
  • Chao Li,
  • Zhangchong Shen,
  • Shibo He,
  • Lingling Tang,
  • Jie Zheng,
  • Yi Fang,
  • Kehan Li,
  • Yanggang Cheng,
  • Zhiguo Shi,
  • Guoping Sheng,
  • Yu Liu,
  • Jinxing Zhu,
  • Xinjiang Ye,
  • Jinlai Chen,
  • Wenrong Chen,
  • Lanjuan Li,
  • Youxian Sun,
  • Jiming Chen

DOI
https://doi.org/10.1038/s42005-022-01045-4
Journal volume & issue
Vol. 5, no. 1
pp. 1 – 10

Abstract

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Contact tracing using mobile phones has been a strategy used by many countries to limit the spread of COVID-19. Here, the authors use location-related phone data from Wuhan to construct a temporal contact graph and demonstrate a strong correlation between contacts level and epidemic size, thus justifying the effectiveness of the approach.