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A data-driven assessment of early travel restrictions related to the spreading of the novel COVID-19 within mainland China

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  • Aleta, Alberto
  • Hu, Qitong
  • Ye, Jiachen
  • Ji, Peng
  • Moreno, Yamir

Abstract

Two months after it was firstly reported, the novel coronavirus disease COVID-19 spread worldwide. However, the vast majority of reported infections until February occurred in China. To assess the effect of early travel restrictions adopted by the health authorities in China, we have implemented an epidemic metapopulation model that is fed with mobility data corresponding to 2019 and 2020. This allows to compare two radically different scenarios, one with no travel restrictions and another in which mobility is reduced by a travel ban. Our findings indicate that i) travel restrictions might be an effective measure in the short term, however, ii) they are ineffective when it comes to completely eliminate the disease. The latter is due to the impossibility of removing the risk of seeding the disease to other regions. Furthermore, our study highlights the importance of developing more realistic models of behavioral changes when a disease outbreak is unfolding.

Suggested Citation

  • Aleta, Alberto & Hu, Qitong & Ye, Jiachen & Ji, Peng & Moreno, Yamir, 2020. "A data-driven assessment of early travel restrictions related to the spreading of the novel COVID-19 within mainland China," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    • Handle: RePEc:eee:chsofr:v:139:y:2020:i:c:s0960077920304653
    DOI: 10.1016/j.chaos.2020.110068
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    Cited by:

    1. Md. Mokhlesur Rahman & Jean-Claude Thill & Kamal Chandra Paul, 2020. "COVID-19 Pandemic Severity, Lockdown Regimes, and People’s Mobility: Early Evidence from 88 Countries," Sustainability, MDPI, vol. 12(21), pages 1-17, November.
    2. Zhang, Qiang & Tong, Qiong, 2021. "The economic impacts of traffic consumption during the COVID-19 pandemic in China: A CGE analysis," Transport Policy, Elsevier, vol. 114(C), pages 330-337.
    3. Pan, Yu & He, Sylvia Y., 2022. "Analyzing COVID-19’s impact on the travel mobility of various social groups in China’s Greater Bay Area via mobile phone big data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 263-281.
    4. Zhang, Junyi & Zhang, Runsen & Ding, Hongxiang & Li, Shuangjin & Liu, Rui & Ma, Shuang & Zhai, Baoxin & Kashima, Saori & Hayashi, Yoshitsugu, 2021. "Effects of transport-related COVID-19 policy measures: A case study of six developed countries," Transport Policy, Elsevier, vol. 110(C), pages 37-57.

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