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An Investigation on Chinese Public Acceptance of COVID-19 Prevention Measures.
Zhang, Ao; Yang, Hao; Tong, Shuning; Gao, Jingqi.
  • Zhang A; School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China.
  • Yang H; School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China.
  • Tong S; Emergency Management Department of Xinjiang Uygur Autonomous Region, Urumqi 830011, China.
  • Gao J; School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China.
Int J Environ Res Public Health ; 19(9)2022 04 22.
Article in English | MEDLINE | ID: covidwho-1818139
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19095087

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19095087