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Vaccinations, Mobility and COVID-19 Transmission

Author

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  • Jianfeng Guo

    (Institute of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
    School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Chao Deng

    (Institute of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
    School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Fu Gu

    (Center of Engineering Management, Polytechnic Institute, Zhejiang University, Hangzhou 310027, China
    Department of Industrial and System Engineering, Zhejiang University, Hangzhou 310027, China
    National Institute of Innovation Management, Zhejiang University, Hangzhou 310027, China)

Abstract

In order to prevent the spread of coronavirus disease 2019 (COVID-19), 52.4% of the world population had received at least one dose of a vaccine at17 November 2021, but little is known about the non-pharmaceutical aspect of vaccination. Here we empirically examine the impact of vaccination on human behaviors and COVID-19 transmission via structural equation modeling. The results suggest that, from a non-pharmaceutical perspective, the effectiveness of COVID-19 vaccines is related to human behaviors, in this case, mobility; vaccination slows the spread of COVID-19 in the regions where vaccination is negatively related to mobility, but such an effect is not observed in the regions where vaccination and mobility have positive correlations. This article highlights the significance of mobility in realizing the effectiveness of COVID-19 vaccines; even with large-scale vaccination, non-pharmaceutical interventions, such as social distancing, are still required to contain the transmission of COVID-19.

Suggested Citation

  • Jianfeng Guo & Chao Deng & Fu Gu, 2021. "Vaccinations, Mobility and COVID-19 Transmission," IJERPH, MDPI, vol. 19(1), pages 1-10, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:97-:d:709111
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    References listed on IDEAS

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    1. Fang, Hanming & Wang, Long & Yang, Yang, 2020. "Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China," Journal of Public Economics, Elsevier, vol. 191(C).
    2. Jayson S. Jia & Xin Lu & Yun Yuan & Ge Xu & Jianmin Jia & Nicholas A. Christakis, 2020. "Population flow drives spatio-temporal distribution of COVID-19 in China," Nature, Nature, vol. 582(7812), pages 389-394, June.
    3. Fu Gu & Yingwen Wu & Xinyu Hu & Jianfeng Guo & Xiaohan Yang & Xinze Zhao, 2021. "The Role of Conspiracy Theories in the Spread of COVID-19 across the United States," IJERPH, MDPI, vol. 18(7), pages 1-14, April.
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    Cited by:

    1. Fırat Bilgel & Burhan Can Karahasan, 2024. "Understanding Covid-19 Mobility Through Human Capital: A Unified Causal Framework," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 793-833, February.

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