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

Emerg Microbes Infect. 2020 Dec;9(1):988-990. doi: 10.1080/22221751.2020.1760143.

Abstract

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.

Keywords: 2019-nCov; population movement; risk; spread; travel ban.

Publication types

  • Letter

MeSH terms

  • Betacoronavirus / isolation & purification
  • COVID-19
  • China / epidemiology
  • Coronavirus Infections / epidemiology*
  • Coronavirus Infections / transmission
  • Humans
  • Pandemics
  • Pneumonia, Viral / epidemiology*
  • Pneumonia, Viral / transmission
  • SARS-CoV-2
  • Travel / legislation & jurisprudence
  • Travel / statistics & numerical data*

Grants and funding

This work was supported by the National Key Research and Development Program of China under Grant [2020YFC0840900]; National Natural Science Foundation of China under Grant [31970643 & 81961128002]; Shenzhen Science and Technology Program under Grant [KQTD20180411143323605]; and Guangdong Frontier and Key Tech Innovation Program under Grant [2019B020228001 & 2019B111103001].