Factors Influencing the Response to Infectious Diseases: Focusing on the Case of SARS and MERS in South Korea
Identifieur interne : 000D40 ( Pmc/Curation ); précédent : 000D39; suivant : 000D41Factors Influencing the Response to Infectious Diseases: Focusing on the Case of SARS and MERS in South Korea
Auteurs : Kyu-Myoung Lee ; Kyujin Jung [Corée du Sud]Source :
- International Journal of Environmental Research and Public Health [ 1661-7827 ] ; 2019.
Abstract
Following the 2003 the severe acute respiratory syndrome (SARS) and the 2015 Middle East Respiratory Syndrome (MERS) outbreak in South Korea, this research aims to explore and examine the factors influencing the response to infectious diseases, which encompasses both communicable and non-communicable diseases. Through a qualitative research method, this research categorizes the factors as inputs, processes and outputs and applies them into the 2003 SARS and MERS outbreak in South Korea. As the results conducted meta-analyses to comprehensively analyze the correlations of factors influencing disaster response from a Korean context, the findings show that the legislative factor had direct and indirect influence on the overall process of infectious disease response and that Leadership of the central government, establishment of an intergovernmental response system, the need for communication, information sharing and disclosure and onsite response were identified as key factors influencing effective infectious disease response.
Url:
DOI: 10.3390/ijerph16081432
PubMed: 31013648
PubMed Central: 6518241
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<front><div type="abstract" xml:lang="en"><p>Following the 2003 the severe acute respiratory syndrome (SARS) and the 2015 Middle East Respiratory Syndrome (MERS) outbreak in South Korea, this research aims to explore and examine the factors influencing the response to infectious diseases, which encompasses both communicable and non-communicable diseases. Through a qualitative research method, this research categorizes the factors as inputs, processes and outputs and applies them into the 2003 SARS and MERS outbreak in South Korea. As the results conducted meta-analyses to comprehensively analyze the correlations of factors influencing disaster response from a Korean context, the findings show that the legislative factor had direct and indirect influence on the overall process of infectious disease response and that Leadership of the central government, establishment of an intergovernmental response system, the need for communication, information sharing and disclosure and onsite response were identified as key factors influencing effective infectious disease response.</p>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Int J Environ Res Public Health</journal-id>
<journal-id journal-id-type="iso-abbrev">Int J Environ Res Public Health</journal-id>
<journal-id journal-id-type="publisher-id">ijerph</journal-id>
<journal-title-group><journal-title>International Journal of Environmental Research and Public Health</journal-title>
</journal-title-group>
<issn pub-type="ppub">1661-7827</issn>
<issn pub-type="epub">1660-4601</issn>
<publisher><publisher-name>MDPI</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">31013648</article-id>
<article-id pub-id-type="pmc">6518241</article-id>
<article-id pub-id-type="doi">10.3390/ijerph16081432</article-id>
<article-id pub-id-type="publisher-id">ijerph-16-01432</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Factors Influencing the Response to Infectious Diseases: Focusing on the Case of SARS and MERS in South Korea</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Lee</surname>
<given-names>Kyu-Myoung</given-names>
</name>
<xref ref-type="aff" rid="af1-ijerph-16-01432">1</xref>
</contrib>
<contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">https://orcid.org/0000-0002-2241-2415</contrib-id>
<name><surname>Jung</surname>
<given-names>Kyujin</given-names>
</name>
<xref ref-type="aff" rid="af2-ijerph-16-01432">2</xref>
<xref rid="c1-ijerph-16-01432" ref-type="corresp">*</xref>
</contrib>
</contrib-group>
<aff id="af1-ijerph-16-01432"><label>1</label>
Department of Public Administration, Korea University, Seoul 02841, Korea;<email>joanna528@korea.ac.kr</email>
</aff>
<aff id="af2-ijerph-16-01432"><label>2</label>
Department of Public Administration and the Graduate School of Governance, Sungkyunkwan University, Seoul 02841, Korea</aff>
<author-notes><corresp id="c1-ijerph-16-01432"><label>*</label>
Correspondence: <email>kjung1@skku.edu</email>
; Tel.: +82-2-760-0253</corresp>
</author-notes>
<pub-date pub-type="epub"><day>22</day>
<month>4</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="ppub"><month>4</month>
<year>2019</year>
</pub-date>
<volume>16</volume>
<issue>8</issue>
<elocation-id>1432</elocation-id>
<history><date date-type="received"><day>31</day>
<month>1</month>
<year>2019</year>
</date>
<date date-type="accepted"><day>09</day>
<month>4</month>
<year>2019</year>
</date>
</history>
<permissions><copyright-statement>© 2019 by the authors.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access"><license-p>Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
).</license-p>
</license>
</permissions>
<abstract><p>Following the 2003 the severe acute respiratory syndrome (SARS) and the 2015 Middle East Respiratory Syndrome (MERS) outbreak in South Korea, this research aims to explore and examine the factors influencing the response to infectious diseases, which encompasses both communicable and non-communicable diseases. Through a qualitative research method, this research categorizes the factors as inputs, processes and outputs and applies them into the 2003 SARS and MERS outbreak in South Korea. As the results conducted meta-analyses to comprehensively analyze the correlations of factors influencing disaster response from a Korean context, the findings show that the legislative factor had direct and indirect influence on the overall process of infectious disease response and that Leadership of the central government, establishment of an intergovernmental response system, the need for communication, information sharing and disclosure and onsite response were identified as key factors influencing effective infectious disease response.</p>
</abstract>
<kwd-group><kwd>infectious diseases</kwd>
<kwd>meta-analyses</kwd>
<kwd>severe acute respiratory syndrome (SARS)</kwd>
<kwd>Middle East Respiratory Syndrome (MERS)</kwd>
<kwd>South Korea</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group><fig id="ijerph-16-01432-f001" orientation="portrait" position="float"><label>Figure 1</label>
<caption><p>Confirmed global cases of MERS-CoV (source: <uri xlink:href="https://www.who.int/emergencies/mers-cov/en/">https://www.who.int/emergencies/mers-cov/en/</uri>
).</p>
</caption>
<graphic xlink:href="ijerph-16-01432-g001"></graphic>
</fig>
<fig id="ijerph-16-01432-f002" orientation="portrait" position="float"><label>Figure 2</label>
<caption><p>Categorization of the factors influencing disaster response.</p>
</caption>
<graphic xlink:href="ijerph-16-01432-g002"></graphic>
</fig>
<fig id="ijerph-16-01432-f003" orientation="portrait" position="float"><label>Figure 3</label>
<caption><p>Coding framework.</p>
</caption>
<graphic xlink:href="ijerph-16-01432-g003"></graphic>
</fig>
<fig id="ijerph-16-01432-f004" orientation="portrait" position="float"><label>Figure 4</label>
<caption><p>Model of factors influencing infectious disease response in Korea.</p>
</caption>
<graphic xlink:href="ijerph-16-01432-g004"></graphic>
</fig>
<table-wrap id="ijerph-16-01432-t001" orientation="portrait" position="float"><object-id pub-id-type="pii">ijerph-16-01432-t001_Table 1</object-id>
<label>Table 1</label>
<caption><p>Analysis of targets.</p>
</caption>
<table frame="hsides" rules="groups"><thead><tr><th colspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin;background:#E4E4E4" rowspan="1">Category</th>
<th align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin;background:#E4E4E4" rowspan="1" colspan="1">SARS</th>
<th align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin;background:#E4E4E4" rowspan="1" colspan="1">MERS</th>
</tr>
</thead>
<tbody><tr><td rowspan="2" align="center" valign="middle" style="border-bottom:solid thin" colspan="1">Academic articles</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Total search results</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">110 cases</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">229 cases</td>
</tr>
<tr><td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Selected for analysis</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0 cases</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">4 cases</td>
</tr>
<tr><td rowspan="2" align="center" valign="middle" style="border-bottom:solid thin" colspan="1">Media reports</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Total search results</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">120 cases</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2416 cases</td>
</tr>
<tr><td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Selected for analysis</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">5 cases</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">28 cases</td>
</tr>
<tr><td rowspan="2" align="center" valign="middle" style="border-bottom:solid thin" colspan="1">BAI audit reports</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Total search results</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0 cases</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">59 cases</td>
</tr>
<tr><td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Selected for analysis</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0 cases</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">38 cases</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</pmc>
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