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Traffic control and social distancing evidence from COVID-19 in China

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  • Shanlang Lin
  • Ruofei Lin
  • Na Yan
  • Junpei Huang

Abstract

We collected COVID-19 epidemiological and epidemic control measures-related data in mainland China during the period January 1 to February 19, 2020, and empirically tested the practical effects of the epidemic control measures implemented in China by applying the econometrics approach. The results show that nationally, both traffic control and social distancing have played an important role in controlling the outbreak of the epidemic, however, neither of the two measures have had a significant effect in low-risk areas. Moreover, the effect of traffic control is more successful than that of social distancing. Both measures complement each other, and their combined effect achieves even better results. These findings confirm the effectiveness of the measures currently in place in China, however, we would like to emphasize that control measures should be more tailored, which implemented according to each specific city’s situation, in order to achieve a better epidemic prevention and control.

Suggested Citation

  • Shanlang Lin & Ruofei Lin & Na Yan & Junpei Huang, 2021. "Traffic control and social distancing evidence from COVID-19 in China," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-9, June.
  • Handle: RePEc:plo:pone00:0252300
    DOI: 10.1371/journal.pone.0252300
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    2. Dhaval Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Joseph J. Sabia, 2021. "When Do Shelter‐In‐Place Orders Fight Covid‐19 Best? Policy Heterogeneity Across States And Adoption Time," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 29-52, January.
    3. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    4. Neil M. Ferguson & Derek A.T. Cummings & Simon Cauchemez & Christophe Fraser & Steven Riley & Aronrag Meeyai & Sopon Iamsirithaworn & Donald S. Burke, 2005. "Strategies for containing an emerging influenza pandemic in Southeast Asia," Nature, Nature, vol. 437(7056), pages 209-214, September.
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    Cited by:

    1. Shanlang Lin & Chao Ma & Ruofei Lin, 2022. "Research on the Influence of Information Diffusion on the Transmission of the Novel Coronavirus (COVID-19)," IJERPH, MDPI, vol. 19(11), pages 1-16, June.

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