Emerging Microbes and Infections (Jan 2020)

Impact of population movement on the spread of 2019-nCoV in China

  • Chi Zhang,
  • Cai Chen,
  • Wei Shen,
  • Feng Tang,
  • Hao Lei,
  • Yu Xie,
  • Zicheng Cao,
  • Kang Tang,
  • Junbo Bai,
  • Lehan Xiao,
  • Yutian Xu,
  • Yanxin Song,
  • Jiwei Chen,
  • Zhihui Guo,
  • Yichen Guo,
  • Xiao Wang,
  • Modi Xu,
  • Huachun Zou,
  • Yuelong Shu,
  • Xiangjun Du

DOI
https://doi.org/10.1080/22221751.2020.1760143
Journal volume & issue
Vol. 9, no. 1
pp. 988 – 990

Abstract

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ABSTRACTSince Dec 2019, China has experienced an outbreak caused by a novel coronavirus, 2019-nCoV. A travel ban was implemented for Wuhan, Hubei on Jan 23 to slow down the outbreak. We found a significant positive correlation between population influx from Wuhan and confirmed cases in other cities across China (R2 = 0.85, P < 0.001), especially cities in Hubei (R2 = 0.88, P < 0.001). Removing the travel restriction would have increased 118% (91%–172%) of the overall cases for the coming week, and a travel ban taken three days or a week earlier would have reduced 47% (26%–58%) and 83% (78%–89%) of the early cases. We would expect a 61% (48%–92%) increase of overall cumulative cases without any restrictions on returning residents, and 11% (8%–16%) increase if the travel ban stays in place for Hubei. Cities from Yangtze River Delta, Pearl River Delta, and Capital Economic Circle regions are at higher risk.

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