An Investigation on Chinese Public Acceptance of COVID-19 Prevention Measures
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 infl...
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Veröffentlicht in: | International journal of environmental research and public health 2022-04, Vol.19 (9), p.5087 |
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creator | Zhang, Ao Yang, Hao Tong, Shuning Gao, Jingqi |
description | 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. |
doi_str_mv | 10.3390/ijerph19095087 |
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It can provide a positive reference for the development of epidemic prevention in other countries.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph19095087</identifier><identifier>PMID: 35564482</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>China - epidemiology ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - prevention & control ; COVID-19 vaccines ; Demographics ; Design ; Disease control ; Disease prevention ; Epidemics ; Genetically altered foods ; Government ; Humans ; Pandemics ; Personal information ; Prevention ; Public health ; Questionnaires ; Renewable resources ; Surveys and Questionnaires ; Variance analysis</subject><ispartof>International journal of environmental research and public health, 2022-04, Vol.19 (9), p.5087</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. 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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.</description><subject>China - epidemiology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - prevention & control</subject><subject>COVID-19 vaccines</subject><subject>Demographics</subject><subject>Design</subject><subject>Disease control</subject><subject>Disease prevention</subject><subject>Epidemics</subject><subject>Genetically altered foods</subject><subject>Government</subject><subject>Humans</subject><subject>Pandemics</subject><subject>Personal information</subject><subject>Prevention</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Renewable resources</subject><subject>Surveys and Questionnaires</subject><subject>Variance analysis</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkc1LAzEQxYMofl89yoIXL6vJJjubXIRSvwqKHtRryKazNmWbrUm34H9valVUCExgfvOYN4-QI0bPOFf03E0xzCdMUVVSWW2QXQZAcwGUbf7675C9GKeUcilAbZMdXpYghCx2yf3AZyO_xLhwr2bhOp-lN5w4jxGzx75unc0G1uJ8YbzFrGuy4cPL6DJnKnsMuET_OXOPJvYB4wHZakwb8fCr7pPn66un4W1-93AzGg7ucsuFXOSMSiWKmoJMHmzZWCErZmBMkTeM1oaKohEUGpDlGJiUDDjUStR1XSpQaPk-uVjrzvt6hmOb1gim1fPgZia86844_bfj3US_dkutGC1EWSaB0y-B0L31yb2euWixbY3Hro-6ABCVUlBBQk_-odOuDz7ZW1GFqtLpV4Jna8qGLsaAzc8yjOpVUvpvUmng-LeFH_w7Gv4BVRKOaA</recordid><startdate>20220422</startdate><enddate>20220422</enddate><creator>Zhang, Ao</creator><creator>Yang, Hao</creator><creator>Tong, Shuning</creator><creator>Gao, Jingqi</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4239-4004</orcidid></search><sort><creationdate>20220422</creationdate><title>An Investigation on Chinese Public Acceptance of COVID-19 Prevention Measures</title><author>Zhang, Ao ; Yang, Hao ; Tong, Shuning ; Gao, Jingqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-108942b068339c5fc4871a6d0e3f10ba042f406f685d61881636b94bbb5969ec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>China - epidemiology</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - prevention & control</topic><topic>COVID-19 vaccines</topic><topic>Demographics</topic><topic>Design</topic><topic>Disease control</topic><topic>Disease prevention</topic><topic>Epidemics</topic><topic>Genetically altered foods</topic><topic>Government</topic><topic>Humans</topic><topic>Pandemics</topic><topic>Personal information</topic><topic>Prevention</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Renewable resources</topic><topic>Surveys and Questionnaires</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Ao</creatorcontrib><creatorcontrib>Yang, Hao</creatorcontrib><creatorcontrib>Tong, Shuning</creatorcontrib><creatorcontrib>Gao, Jingqi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Ao</au><au>Yang, Hao</au><au>Tong, Shuning</au><au>Gao, Jingqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Investigation on Chinese Public Acceptance of COVID-19 Prevention Measures</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2022-04-22</date><risdate>2022</risdate><volume>19</volume><issue>9</issue><spage>5087</spage><pages>5087-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><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. 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subjects | China - epidemiology Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control COVID-19 vaccines Demographics Design Disease control Disease prevention Epidemics Genetically altered foods Government Humans Pandemics Personal information Prevention Public health Questionnaires Renewable resources Surveys and Questionnaires Variance analysis |
title | An Investigation on Chinese Public Acceptance of COVID-19 Prevention Measures |
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