Selected article for: "inter city intra city population movement and intra city population movement"
Author: Haiyan Liu; Xuemei Bai; Huanfeng Shen; Xiaoping Pang; Zeyu Liang; Yue Liu
Title: Synchronized travel restrictions across cities can be effective in COVID-19 control
  • Document date: 2020_4_6
    • ID: jxj10857_51
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.02.20050781 doi: medRxiv preprint as above, and the only change was the mobility data. Before 30 January, cities successively suspended their inter-provincial transport to and from Hubei (Supplementary Table 1) , and restricted their inter-city and their intra-city population movement to varying degrees 6 . That is to say, the inter-city .....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.02.20050781 doi: medRxiv preprint as above, and the only change was the mobility data. Before 30 January, cities successively suspended their inter-provincial transport to and from Hubei (Supplementary Table 1) , and restricted their inter-city and their intra-city population movement to varying degrees 6 . That is to say, the inter-city and intra-city population movements were all limited after 30 January. We assume all travel restrictions in cities outside Hubei were imposed at the same time as the Wuhan lockdown. Thus, the population outflow from Hubei excluding Wuhan solely considered those on 23 January. The population inflow from other cities and intra-city population movement from 31 January-6 February replaced those from 23-30 January as proxy mobility data for the timely travel restrictions status.

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