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An Investigation on Chinese Public Acceptance of COVID-19 Prevention Measures

Author

Listed:
  • Ao Zhang

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Hao Yang

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Shuning Tong

    (Emergency Management Department of Xinjiang Uygur Autonomous Region, Urumqi 830011, China)

  • Jingqi Gao

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

Abstract

China has basically succeeded in bringing the COVID-19 epidemic under control, thanks to a timely series of effective prevention and control measures taken by the Chinese government. In this study, a public acceptance questionnaire of epidemic prevention measures was designed to investigate the influencing factors of public acceptance. A total of 2062 samples were collected from 8 March 2020 to 9 April 2020, and Independent-Samples T-Test and One-way ANOVA were used to analyze the data collected in the questionnaire in SPSS version 22.0. The results show that age and educational level have a significant influence on public acceptance. With the development of the epidemic, the acceptability grew generally higher. The public acceptance of traffic measures is the highest. This study summarises China’s scientific experience in the fight against COVID-19 and the differences in public acceptance. It can provide a positive reference for the development of epidemic prevention in other countries.

Suggested Citation

  • Ao Zhang & Hao Yang & Shuning Tong & Jingqi Gao, 2022. "An Investigation on Chinese Public Acceptance of COVID-19 Prevention Measures," IJERPH, MDPI, vol. 19(9), pages 1-14, April.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5087-:d:799346
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    References listed on IDEAS

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    1. Lim, Sesil & Huh, Sung-Yoon & Shin, Jungwoo & Lee, Jongsu & Lee, Yong-Gil, 2019. "Enhancing public acceptance of renewable heat obligation policies in South Korea: Consumer preferences and policy implications," Energy Economics, Elsevier, vol. 81(C), pages 1167-1177.
    2. Meng, Xin & Guo, Mingxue & Gao, Ziyou & Yang, Zhenzhen & Yuan, Zhilu & Kang, Liujiang, 2022. "The effects of Wuhan highway lockdown measures on the spread of COVID-19 in China," Transport Policy, Elsevier, vol. 117(C), pages 169-180.
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    Cited by:

    1. Yao Chang & Dongbing Li & Zibibula Simayi & Shengtian Yang & Maliyamuguli Abulimiti & Yiwei Ren, 2022. "Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest," IJERPH, MDPI, vol. 19(13), pages 1-18, June.

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