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The Analysis of Patterns of Two COVID-19 Outbreak Clusters in China

Author

Listed:
  • Wenning Li

    (National Engineering Research Center for Geoinformatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jianhua Gong

    (National Engineering Research Center for Geoinformatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jieping Zhou

    (National Engineering Research Center for Geoinformatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Hongkui Fan

    (School of Geology and Geomatics, Tianjin Cheng Jian University, Tianjin 300384, China)

  • Cheng Qin

    (National Engineering Research Center for Geoinformatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yujiang Gong

    (Zhejiang-CAS Application Center for Geoinformatics, Jiaxing 314100, China)

  • Weidong Hu

    (Zhejiang-CAS Application Center for Geoinformatics, Jiaxing 314100, China)

Abstract

Since the emergence of COVID-19, there have been many local outbreaks with foci at shopping malls in China. We compared and analyzed the epidemiological and spatiotemporal characteristics of local COVID-19 outbreaks in two commercial locations, a department store building (DSB) in Baodi District, Tianjin, and the Xinfadi wholesale market (XFD) in Fengtai District, Beijing. The spread of the infection at different times was analyzed by the standard deviation elliptical method. The spatial transfer mode demonstrated that outbreaks started at the center of each commercial location and spread to the periphery. The number of cases and the distance from the central outbreak showed an inverse proportional logarithmic function shape. Most cases were distributed within a 10 km radius; infected individuals who lived far from the outbreak center were mainly infected by close-contact transmission at home or in the workplace. There was no efficient and rapid detection method at the time of the DSB outbreak; the main preventative measure was the timing of COVID-19 precautions. Emergency interventions (closing shopping malls and home isolation) were initiated five days before confirmation of the first case from the shopping center. In contrast, XFD closed after the first confirmed cases appeared, but those infected during this outbreak benefitted from efficient nucleic acid testing. Quick results and isolation of infected individuals were the main methods of epidemic control in this area. The difference in the COVID-19 epidemic patterns between the two shopping malls reflects the progress of Chinese technology in the prevention and control of COVID-19.

Suggested Citation

  • Wenning Li & Jianhua Gong & Jieping Zhou & Hongkui Fan & Cheng Qin & Yujiang Gong & Weidong Hu, 2022. "The Analysis of Patterns of Two COVID-19 Outbreak Clusters in China," IJERPH, MDPI, vol. 19(8), pages 1-12, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4876-:d:795712
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    References listed on IDEAS

    as
    1. Jia-Te Wei & Zhi-Dong Liu & Zheng-Wei Fan & Lin Zhao & Wu-Chun Cao, 2020. "Epidemiology of and Risk Factors for COVID-19 Infection among Health Care Workers: A Multi-Centre Comparative Study," IJERPH, MDPI, vol. 17(19), pages 1-11, September.
    2. Chen, Yanguang, 2015. "The distance-decay function of geographical gravity model: Power law or exponential law?," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 174-189.
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    1. Lei Zhang & Guang-Hui She & Yu-Rong She & Rong Li & Zhen-Su She, 2022. "Quantifying Social Interventions for Combating COVID-19 via a Symmetry-Based Model," IJERPH, MDPI, vol. 20(1), pages 1-15, December.

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