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

Chi ZhangCai ChenWei ShenFeng TangHao LeiYu XieZicheng CaoKang TangJunbo BaiLehan XiaoYutian XuYanxin SongJiwei ChenZhihui GuoYichen GuoXiao WangModi XuHuachun ZouYuelong ShuXiangjun Du
Published in: Emerging microbes & infections (2020)
Since 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.
Keyphrases
  • coronavirus disease
  • infectious diseases