Geographical Research, Volume. 39, Issue 7, 1450(2020)

The development of COVID-19 in China: Spatial diffusion and geographical pattern

Jiaoe WANG1...2,*, Delin DU1,2, Ye WEI3, and Haoran YANG45 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
  • 4The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China
  • 5School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
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    Figures & Tables(9)
    The research framework of the spatial diffusion of COVID-19
    The development stages of COVID-19 in China
    Spatial distribution of COVID-19 in China and its dynamics
    Total confirmed cases as of 8 April and the time of first confirmed case of the cities in Hubei province
    Spatial spreading mode of COVID-19
    Migrant population from Wuhan before the Spring Festival of 2020 and the confirmed cases in different cities (as of 8 April)
    • Table 1. Top 10 cities with cumulative confirmed cases in Hubei province and other regions (as of 8 April)

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      Table 1. Top 10 cities with cumulative confirmed cases in Hubei province and other regions (as of 8 April)

      位序湖北省其他地区
      城市累计病例(例)城市累计病例(例)
      1武汉50008北京588
      2孝感3518重庆579
      3黄冈2907上海552
      4荆州1580温州504
      5鄂州1394广州467
      6随州1307深圳456
      7襄阳1175哈尔滨325
      8黄石1015信阳274
      9宜昌931杭州266
      10荆门928济宁260
    • Table 2. The top 10 cities inside and outside Hubei province by migrant population from Wuhan before the Spring Festival of 2020

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      Table 2. The top 10 cities inside and outside Hubei province by migrant population from Wuhan before the Spring Festival of 2020

      位序湖北省其他地区
      城市占比(%)城市占比(%)
      1孝感13.80信阳1.49
      2黄冈13.04重庆1.27
      3荆州6.54长沙1.02
      4咸宁5.01北京0.86
      5鄂州3.97南阳0.69
      6襄阳3.93上海0.66
      7黄石3.77驻马店0.66
      8荆门3.30郑州0.59
      9随州3.21九江0.52
      10仙桃2.97岳阳0.52
    • Table 3. Pearson correlation of COVID-19 with population mobility and transportation

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      Table 3. Pearson correlation of COVID-19 with population mobility and transportation

      疫情扩散人口流动和规模与武汉联系交通网络
      武汉迁出人口城市人口规模航空运输高铁列车长途汽车
      累计确诊病例0.968**0.210**0.437**0.443**0.631**
      首例确诊时间-0.115*-0.171**-0.532**-0.250**-0.086
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    Jiaoe WANG, Delin DU, Ye WEI, Haoran YANG. The development of COVID-19 in China: Spatial diffusion and geographical pattern[J]. Geographical Research, 2020, 39(7): 1450

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    Paper Information

    Received: Apr. 19, 2019

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email:

    DOI:10.11821/dlyj020200329

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