Preventive Behavioral Responses to the 2015 Middle East Respiratory Syndrome Coronavirus Outbreak in Korea
This study examined the public's preventive behavioral responses during the 2015 Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in Korea and the influencing factors. Two cross-sectional telephone surveys were conducted by Gallup Korea using random digit dialing in June 2015 (...
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| Veröffentlicht in: | International journal of environmental research and public health 2019-06, Vol.16 (12), p.2161 |
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| creator | Jang, Won Mo Cho, Sanghyun Jang, Deok Hyun Kim, Un-Na Jung, Hyemin Lee, Jin Yong Eun, Sang Jun |
| description | This study examined the public's preventive behavioral responses during the 2015 Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in Korea and the influencing factors. Two cross-sectional telephone surveys were conducted by Gallup Korea using random digit dialing in June 2015 (
= 2004). The main outcome variables were nonpharmaceutical preventive measures (survey (1): Measures for reducing transmission (handwashing, face masks); and survey (2): Measures for avoiding contact with others). Multiple logistic regression was used to identify the factors influencing preventive behaviors. In survey (1), 60.3% of respondents reported more frequent handwashing and 15.5% reported wearing face masks at least once due to the MERS-CoV epidemic. In survey (2), 41-56% of respondents reported practicing avoidance measures. The concerned group was more likely to practice reducing transmission measures (odds ratio (OR) 4.5; 95% confidence interval (CI) 3.3-6.1) and avoidance measures (OR = 9.6; 95% CI, 6.4-14.4). The respondents who had low trust in president or ruling party had a higher practice rate of reducing transmission measures (OR = 1.7; 95% CI, 1.2-2.6) and avoidance measures (OR = 2.1; 95% CI, 1.2-3.5). Cooperative prevention measures need appropriated public concern based on effective risk communication. |
| doi_str_mv | 10.3390/ijerph16122161 |
| format | Article |
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= 2004). The main outcome variables were nonpharmaceutical preventive measures (survey (1): Measures for reducing transmission (handwashing, face masks); and survey (2): Measures for avoiding contact with others). Multiple logistic regression was used to identify the factors influencing preventive behaviors. In survey (1), 60.3% of respondents reported more frequent handwashing and 15.5% reported wearing face masks at least once due to the MERS-CoV epidemic. In survey (2), 41-56% of respondents reported practicing avoidance measures. The concerned group was more likely to practice reducing transmission measures (odds ratio (OR) 4.5; 95% confidence interval (CI) 3.3-6.1) and avoidance measures (OR = 9.6; 95% CI, 6.4-14.4). The respondents who had low trust in president or ruling party had a higher practice rate of reducing transmission measures (OR = 1.7; 95% CI, 1.2-2.6) and avoidance measures (OR = 2.1; 95% CI, 1.2-3.5). Cooperative prevention measures need appropriated public concern based on effective risk communication.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph16122161</identifier><identifier>PMID: 31216779</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Aged ; Avoidance behavior ; Behavior ; Communication ; Cooperation ; Coronavirus Infections - epidemiology ; Coronavirus Infections - prevention & control ; Coronaviruses ; Cross-Sectional Studies ; Department stores ; Disease Outbreaks ; Disease prevention ; Epidemics ; Female ; Health Behavior ; Health care facilities ; Health facilities ; Health risks ; Humans ; Infections ; Infectious diseases ; Male ; Middle Aged ; Middle East Respiratory Syndrome Coronavirus ; Odds Ratio ; Outbreaks ; Outdoor activities ; Political parties ; Polls & surveys ; Primary Prevention ; Public health ; Public transportation ; Regression analysis ; Republic of Korea - epidemiology ; Residential areas ; Respiratory diseases ; Response rates ; Risk communication ; Risk taking ; Studies ; Surveys and Questionnaires ; Young Adult</subject><ispartof>International journal of environmental research and public health, 2019-06, Vol.16 (12), p.2161</ispartof><rights>2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 by the authors. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c414t-ee8a007f82df1e01927cc07fe39d8462f1e886629a71775b3bde23b2972239703</citedby><cites>FETCH-LOGICAL-c414t-ee8a007f82df1e01927cc07fe39d8462f1e886629a71775b3bde23b2972239703</cites><orcidid>0000-0003-3277-7706 ; 0000-0001-7339-7983 ; 0000-0002-7752-2697</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616393/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616393/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31216779$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jang, Won Mo</creatorcontrib><creatorcontrib>Cho, Sanghyun</creatorcontrib><creatorcontrib>Jang, Deok Hyun</creatorcontrib><creatorcontrib>Kim, Un-Na</creatorcontrib><creatorcontrib>Jung, Hyemin</creatorcontrib><creatorcontrib>Lee, Jin Yong</creatorcontrib><creatorcontrib>Eun, Sang Jun</creatorcontrib><title>Preventive Behavioral Responses to the 2015 Middle East Respiratory Syndrome Coronavirus Outbreak in Korea</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>This study examined the public's preventive behavioral responses during the 2015 Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in Korea and the influencing factors. Two cross-sectional telephone surveys were conducted by Gallup Korea using random digit dialing in June 2015 (
= 2004). The main outcome variables were nonpharmaceutical preventive measures (survey (1): Measures for reducing transmission (handwashing, face masks); and survey (2): Measures for avoiding contact with others). Multiple logistic regression was used to identify the factors influencing preventive behaviors. In survey (1), 60.3% of respondents reported more frequent handwashing and 15.5% reported wearing face masks at least once due to the MERS-CoV epidemic. In survey (2), 41-56% of respondents reported practicing avoidance measures. The concerned group was more likely to practice reducing transmission measures (odds ratio (OR) 4.5; 95% confidence interval (CI) 3.3-6.1) and avoidance measures (OR = 9.6; 95% CI, 6.4-14.4). The respondents who had low trust in president or ruling party had a higher practice rate of reducing transmission measures (OR = 1.7; 95% CI, 1.2-2.6) and avoidance measures (OR = 2.1; 95% CI, 1.2-3.5). Cooperative prevention measures need appropriated public concern based on effective risk communication.</description><subject>Adult</subject><subject>Aged</subject><subject>Avoidance behavior</subject><subject>Behavior</subject><subject>Communication</subject><subject>Cooperation</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - prevention & control</subject><subject>Coronaviruses</subject><subject>Cross-Sectional Studies</subject><subject>Department stores</subject><subject>Disease Outbreaks</subject><subject>Disease prevention</subject><subject>Epidemics</subject><subject>Female</subject><subject>Health Behavior</subject><subject>Health care facilities</subject><subject>Health facilities</subject><subject>Health risks</subject><subject>Humans</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Middle East Respiratory Syndrome Coronavirus</subject><subject>Odds Ratio</subject><subject>Outbreaks</subject><subject>Outdoor activities</subject><subject>Political parties</subject><subject>Polls & surveys</subject><subject>Primary Prevention</subject><subject>Public health</subject><subject>Public transportation</subject><subject>Regression analysis</subject><subject>Republic of Korea - epidemiology</subject><subject>Residential areas</subject><subject>Respiratory diseases</subject><subject>Response rates</subject><subject>Risk communication</subject><subject>Risk taking</subject><subject>Studies</subject><subject>Surveys and Questionnaires</subject><subject>Young Adult</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdUctOwzAQtBCIQuHKEVniwqXFj2DHFySoeAlQEY-z5SQb4pLGwU4q9e8xTxUu3vV6djyjQWiPkjHnihzZGfi2ooIyFo81tEWFIKNEELq-0g_QdggzQniaCLWJBpxGtJRqC83uPSyg6ewC8BlUZmGdNzV-gNC6JkDAncNdBZgReozvbFHUgM9N6D4R1pvO-SV-XDaFd3PAE-ddEzl8H_C07zIP5hXbBt-42O2gjdLUAXa_6xA9X5w_Ta5Gt9PL68np7ShPaNKNAFJDiCxTVpQUCFVM5nm8A1dFlM_iME2FYMpIKuVxxrMCGM-YkoxxJQkfopMv3rbP5lDk0V20pFtv58YvtTNW_31pbKVf3EILQQVXPBIcfhN499ZD6PTchhzq2jTg-qAZSxLKqYj_DdHBP-jM9b6J9jTjTCVEKvWhaPyFyr0LwUP5K4YS_RGj_htjXNhftfAL_8mNvwMgIJnx</recordid><startdate>20190618</startdate><enddate>20190618</enddate><creator>Jang, Won Mo</creator><creator>Cho, Sanghyun</creator><creator>Jang, Deok Hyun</creator><creator>Kim, Un-Na</creator><creator>Jung, Hyemin</creator><creator>Lee, Jin Yong</creator><creator>Eun, Sang Jun</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>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3277-7706</orcidid><orcidid>https://orcid.org/0000-0001-7339-7983</orcidid><orcidid>https://orcid.org/0000-0002-7752-2697</orcidid></search><sort><creationdate>20190618</creationdate><title>Preventive Behavioral Responses to the 2015 Middle East Respiratory Syndrome Coronavirus Outbreak in Korea</title><author>Jang, Won Mo ; Cho, Sanghyun ; Jang, Deok Hyun ; Kim, Un-Na ; Jung, Hyemin ; Lee, Jin Yong ; Eun, Sang Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c414t-ee8a007f82df1e01927cc07fe39d8462f1e886629a71775b3bde23b2972239703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Avoidance behavior</topic><topic>Behavior</topic><topic>Communication</topic><topic>Cooperation</topic><topic>Coronavirus Infections - epidemiology</topic><topic>Coronavirus Infections - prevention & control</topic><topic>Coronaviruses</topic><topic>Cross-Sectional Studies</topic><topic>Department stores</topic><topic>Disease Outbreaks</topic><topic>Disease prevention</topic><topic>Epidemics</topic><topic>Female</topic><topic>Health Behavior</topic><topic>Health care facilities</topic><topic>Health facilities</topic><topic>Health risks</topic><topic>Humans</topic><topic>Infections</topic><topic>Infectious diseases</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Middle East Respiratory Syndrome Coronavirus</topic><topic>Odds Ratio</topic><topic>Outbreaks</topic><topic>Outdoor activities</topic><topic>Political parties</topic><topic>Polls & surveys</topic><topic>Primary Prevention</topic><topic>Public health</topic><topic>Public transportation</topic><topic>Regression analysis</topic><topic>Republic of Korea - epidemiology</topic><topic>Residential areas</topic><topic>Respiratory diseases</topic><topic>Response rates</topic><topic>Risk communication</topic><topic>Risk taking</topic><topic>Studies</topic><topic>Surveys and Questionnaires</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jang, Won Mo</creatorcontrib><creatorcontrib>Cho, Sanghyun</creatorcontrib><creatorcontrib>Jang, Deok Hyun</creatorcontrib><creatorcontrib>Kim, Un-Na</creatorcontrib><creatorcontrib>Jung, Hyemin</creatorcontrib><creatorcontrib>Lee, Jin Yong</creatorcontrib><creatorcontrib>Eun, Sang Jun</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>ProQuest Central China</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>Jang, Won Mo</au><au>Cho, Sanghyun</au><au>Jang, Deok Hyun</au><au>Kim, Un-Na</au><au>Jung, Hyemin</au><au>Lee, Jin Yong</au><au>Eun, Sang Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Preventive Behavioral Responses to the 2015 Middle East Respiratory Syndrome Coronavirus Outbreak in Korea</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2019-06-18</date><risdate>2019</risdate><volume>16</volume><issue>12</issue><spage>2161</spage><pages>2161-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>This study examined the public's preventive behavioral responses during the 2015 Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in Korea and the influencing factors. Two cross-sectional telephone surveys were conducted by Gallup Korea using random digit dialing in June 2015 (
= 2004). The main outcome variables were nonpharmaceutical preventive measures (survey (1): Measures for reducing transmission (handwashing, face masks); and survey (2): Measures for avoiding contact with others). Multiple logistic regression was used to identify the factors influencing preventive behaviors. In survey (1), 60.3% of respondents reported more frequent handwashing and 15.5% reported wearing face masks at least once due to the MERS-CoV epidemic. In survey (2), 41-56% of respondents reported practicing avoidance measures. The concerned group was more likely to practice reducing transmission measures (odds ratio (OR) 4.5; 95% confidence interval (CI) 3.3-6.1) and avoidance measures (OR = 9.6; 95% CI, 6.4-14.4). The respondents who had low trust in president or ruling party had a higher practice rate of reducing transmission measures (OR = 1.7; 95% CI, 1.2-2.6) and avoidance measures (OR = 2.1; 95% CI, 1.2-3.5). Cooperative prevention measures need appropriated public concern based on effective risk communication.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>31216779</pmid><doi>10.3390/ijerph16122161</doi><orcidid>https://orcid.org/0000-0003-3277-7706</orcidid><orcidid>https://orcid.org/0000-0001-7339-7983</orcidid><orcidid>https://orcid.org/0000-0002-7752-2697</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Avoidance behavior Behavior Communication Cooperation Coronavirus Infections - epidemiology Coronavirus Infections - prevention & control Coronaviruses Cross-Sectional Studies Department stores Disease Outbreaks Disease prevention Epidemics Female Health Behavior Health care facilities Health facilities Health risks Humans Infections Infectious diseases Male Middle Aged Middle East Respiratory Syndrome Coronavirus Odds Ratio Outbreaks Outdoor activities Political parties Polls & surveys Primary Prevention Public health Public transportation Regression analysis Republic of Korea - epidemiology Residential areas Respiratory diseases Response rates Risk communication Risk taking Studies Surveys and Questionnaires Young Adult |
| title | Preventive Behavioral Responses to the 2015 Middle East Respiratory Syndrome Coronavirus Outbreak in Korea |
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