Serveur d'exploration MERS

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Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea, 2015: epidemiology, characteristics and public health implications

Identifieur interne : 000E11 ( Pmc/Corpus ); précédent : 000E10; suivant : 000E12

Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea, 2015: epidemiology, characteristics and public health implications

Auteurs : K. H. Kim ; T. E. Tandi ; J. W. Choi ; J. M. Moon ; M. S. Kim

Source :

RBID : PMC:7114867

Abstract

SummaryBackground

Since the first case of Middle East respiratory syndrome coronavirus (MERS-CoV) in South Korea was reported on 20th May 2015, there have been 186 confirmed cases, 38 deaths and 16,752 suspected cases. Previously published research on South Korea's MERS outbreak was limited to the early stages, when few data were available. Now that the outbreak has ended, albeit unofficially, a more comprehensive review is appropriate.

Methods

Data were obtained through the MERS portal by the Ministry for Health and Welfare (MOHW) and Korea Centres for Disease Control and Prevention, press releases by MOHW, and reports by the MERS Policy Committee of the Korean Medical Association. Cases were analysed for general characteristics, exposure source, timeline and infection generation. Sex, age and underlying diseases were analysed for the 38 deaths.

Findings

Beginning with the index case that infected 28 others, an in-depth analysis was conducted. The average age was 55 years, which was a little higher than the global average of 50 years. As in most other countries, more men than women were affected. The case fatality rate was 19.9%, which was lower than the global rate of 38.7% and the rate in Saudi Arabia (36.5%). In total, 184 patients were infected nosocomially and there were no community-acquired infections. The main underlying diseases were respiratory diseases, cancer and hypertension. The main contributors to the outbreak were late diagnosis, quarantine failure of ‘super spreaders’, familial care-giving and visiting, non-disclosure by patients, poor communication by the South Korean Government, inadequate hospital infection management, and ‘doctor shopping’. The outbreak was entirely nosocomial, and was largely attributable to infection management and policy failures, rather than biomedical factors.


Url:
DOI: 10.1016/j.jhin.2016.10.008
PubMed: 28153558
PubMed Central: 7114867

Links to Exploration step

PMC:7114867

Le document en format XML

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<p>Since the first case of Middle East respiratory syndrome coronavirus (MERS-CoV) in South Korea was reported on 20
<sup>th</sup>
May 2015, there have been 186 confirmed cases, 38 deaths and 16,752 suspected cases. Previously published research on South Korea's MERS outbreak was limited to the early stages, when few data were available. Now that the outbreak has ended, albeit unofficially, a more comprehensive review is appropriate.</p>
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<title>Methods</title>
<p>Data were obtained through the MERS portal by the Ministry for Health and Welfare (MOHW) and Korea Centres for Disease Control and Prevention, press releases by MOHW, and reports by the MERS Policy Committee of the Korean Medical Association. Cases were analysed for general characteristics, exposure source, timeline and infection generation. Sex, age and underlying diseases were analysed for the 38 deaths.</p>
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<title>Findings</title>
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<contrib contrib-type="author" id="au1">
<name>
<surname>Kim</surname>
<given-names>K.H.</given-names>
</name>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au2">
<name>
<surname>Tandi</surname>
<given-names>T.E.</given-names>
</name>
<xref rid="aff1" ref-type="aff">a</xref>
<xref rid="aff2" ref-type="aff">b</xref>
<xref rid="aff3" ref-type="aff">c</xref>
<xref rid="aff4" ref-type="aff">d</xref>
</contrib>
<contrib contrib-type="author" id="au3">
<name>
<surname>Choi</surname>
<given-names>J.W.</given-names>
</name>
<email>shine@korea.ac.kr</email>
<xref rid="aff1" ref-type="aff">a</xref>
<xref rid="aff2" ref-type="aff">b</xref>
<xref rid="aff3" ref-type="aff">c</xref>
<xref rid="aff5" ref-type="aff">e</xref>
<xref rid="cor1" ref-type="corresp"></xref>
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<name>
<surname>Moon</surname>
<given-names>J.M.</given-names>
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<xref rid="aff1" ref-type="aff">a</xref>
<xref rid="aff2" ref-type="aff">b</xref>
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<contrib contrib-type="author" id="au5">
<name>
<surname>Kim</surname>
<given-names>M.S.</given-names>
</name>
<xref rid="aff1" ref-type="aff">a</xref>
<xref rid="aff2" ref-type="aff">b</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>a</label>
Institute for Occupational and Environmental Health, Korea University, Seoul, Korea</aff>
<aff id="aff2">
<label>b</label>
Graduate School of Public Health, Korea University, Seoul, Korea</aff>
<aff id="aff3">
<label>c</label>
Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea</aff>
<aff id="aff4">
<label>d</label>
Ministry of Public Health Yaounde, Yaounde, Cameroon</aff>
<aff id="aff5">
<label>e</label>
MERS Policy Committee of the Korean Medical Association, Seoul, Korea</aff>
<author-notes>
<corresp id="cor1">
<label></label>
Corresponding author. Address: Department of Preventive Medicine, College of Medicine, Korea University, 73, Inchon-ro, Seongbuk-gu, Seoul 02841, Korea. Tel.: +82 2 926 4704; fax: +82 2 927 7220.
<email>shine@korea.ac.kr</email>
</corresp>
</author-notes>
<pub-date pub-type="pmc-release">
<day>14</day>
<month>10</month>
<year>2016</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="ppub">
<month>2</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>14</day>
<month>10</month>
<year>2016</year>
</pub-date>
<volume>95</volume>
<issue>2</issue>
<fpage>207</fpage>
<lpage>213</lpage>
<history>
<date date-type="received">
<day>24</day>
<month>8</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>7</day>
<month>10</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>© 2016 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>The Healthcare Infection Society</copyright-holder>
<license>
<license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p>
</license>
</permissions>
<abstract id="abs0010">
<title>Summary</title>
<sec>
<title>Background</title>
<p>Since the first case of Middle East respiratory syndrome coronavirus (MERS-CoV) in South Korea was reported on 20
<sup>th</sup>
May 2015, there have been 186 confirmed cases, 38 deaths and 16,752 suspected cases. Previously published research on South Korea's MERS outbreak was limited to the early stages, when few data were available. Now that the outbreak has ended, albeit unofficially, a more comprehensive review is appropriate.</p>
</sec>
<sec>
<title>Methods</title>
<p>Data were obtained through the MERS portal by the Ministry for Health and Welfare (MOHW) and Korea Centres for Disease Control and Prevention, press releases by MOHW, and reports by the MERS Policy Committee of the Korean Medical Association. Cases were analysed for general characteristics, exposure source, timeline and infection generation. Sex, age and underlying diseases were analysed for the 38 deaths.</p>
</sec>
<sec>
<title>Findings</title>
<p>Beginning with the index case that infected 28 others, an in-depth analysis was conducted. The average age was 55 years, which was a little higher than the global average of 50 years. As in most other countries, more men than women were affected. The case fatality rate was 19.9%, which was lower than the global rate of 38.7% and the rate in Saudi Arabia (36.5%). In total, 184 patients were infected nosocomially and there were no community-acquired infections. The main underlying diseases were respiratory diseases, cancer and hypertension. The main contributors to the outbreak were late diagnosis, quarantine failure of ‘super spreaders’, familial care-giving and visiting, non-disclosure by patients, poor communication by the South Korean Government, inadequate hospital infection management, and ‘doctor shopping’. The outbreak was entirely nosocomial, and was largely attributable to infection management and policy failures, rather than biomedical factors.</p>
</sec>
</abstract>
<kwd-group id="kwrds0010">
<title>Keywords</title>
<kwd>MERS-CoV outbreak</kwd>
<kwd>Epidemiology</kwd>
<kwd>Public health</kwd>
<kwd>South Korea</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="sec1">
<title>Introduction</title>
<p id="p0010">Middle East respiratory syndrome (MERS), first reported in Saudi Arabia in 2012, is becoming an increasing threat to global health security, much like Ebola or swine flu.
<xref rid="bib1" ref-type="bibr">
<sup>1</sup>
</xref>
Between March 2012 and 1
<sup>st</sup>
November 2015, the World Health Organization (WHO) reported 1611 confirmed cases and 575 deaths worldwide.
<xref rid="bib2" ref-type="bibr">
<sup>2</sup>
</xref>
MERS-outbreak countries include Saudi Arabia (1255 cases and 539 deaths), South Korea (185 cases and 36 deaths) and the United Arab Emirates (81 cases and 11 deaths).
<xref rid="bib3" ref-type="bibr">
<sup>3</sup>
</xref>
</p>
<p id="p0015">The first case of MERS in South Korea occurred on 20
<sup>th</sup>
May 2015 in a 68-year-old male who had contracted the disease while on a business trip to multiple Middle East countries. Subsequently, 186 cases were confirmed, with 38 deaths. In addition, 16,752 suspected cases had a substantial impact on the education, tourism, political and economic sectors.
<xref rid="bib4" ref-type="bibr">
<sup>4</sup>
</xref>
Domestic and international media sources attributed the spread of MERS in South Korea to many factors. Reuters reported that South Korea's MERS situation would not be abated without information transparency and cooperation with international virus hunters, pointing out the South Korean Government's refusal to seek help from international parties as particularly troubling.
<xref rid="bib5" ref-type="bibr">
<sup>5</sup>
</xref>
Science highlighted problems such as inadequate in-hospital ventilation, extensive transmission caused by unmanaged super spreaders, poor infection control measures, and refusal to disclose the names of hospitals where confirmed cases of MERS had been treated or sought treatment.
<xref rid="bib6" ref-type="bibr">
<sup>6</sup>
</xref>
The Korea Centre for Disease Control and Prevention (KCDC) reported that problems with the initial response in South Korea could be attributed to inconsistent definition and isolation of close contacts, subsequent failure to conduct pre-emptive quarantines, and the Government's failure to implement appropriate crisis communication measures.
<xref rid="bib7" ref-type="bibr">
<sup>7</sup>
</xref>
</p>
<p id="p0020">In the face of such speculation about the main reasons for the initial failure to contain the MERS outbreak in South Korea, the authors undertook a comprehensive review of the temporal progression of the outbreak and the infection histories of confirmed patients. An overview of worldwide publications on MERS between 1
<sup>st</sup>
January 2010 and 31
<sup>st</sup>
May 2015 did not include all of the South Korean cases,
<xref rid="bib8" ref-type="bibr">
<sup>8</sup>
</xref>
whilst previous reports from South Korea have not reviewed the outbreak comprehensively.
<xref rid="bib7" ref-type="bibr">7</xref>
,
<xref rid="bib9" ref-type="bibr">9</xref>
,
<xref rid="bib10" ref-type="bibr">10</xref>
The main objective of this study was to compare the South Korean experience with that of other countries, including clinical outcomes and infection control processes.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<sec id="sec2.1">
<title>General characteristics, outbreak sites, and source of exposure of patients diagnosed with MERS</title>
<p id="p0025">The timeline from the first confirmed MERS case in South Korea, and the first death to the latest death is outlined in
<xref rid="fig1" ref-type="fig">Figure 1</xref>
. Data were analysed based on the South Korean Government's MERS information portal, and policy briefings officially managed by MOHW and KCDC.
<xref rid="bib11" ref-type="bibr">11</xref>
,
<xref rid="bib12" ref-type="bibr">12</xref>
The official daily briefing reports included patient serial number, day of diagnosis, infection route, sex, age and hospital. The sex and age of all 186 South Korean cases were determined. Outbreaks were defined as occurring in hospital, within the family or in the community. Sources of exposure were divided into three groups: healthcare professionals [doctors, nurses, medical technicians (e.g. radiologists) and medical transport staff]; infections contracted in hospitals by inpatients or outpatients; and infections acquired through visiting hospitalized patients or familial care-giving.
<fig id="fig1">
<label>Figure 1</label>
<caption>
<p>Number of confirmed cases (blue circles), deaths (red triangles) and quarantines/isolations (green bars) for Middle East respiratory syndrome in South Korea (20
<sup>th</sup>
May to 25
<sup>th</sup>
November 2015).</p>
</caption>
<alt-text id="alttext0010">Figure 1</alt-text>
<graphic xlink:href="gr1_lrg"></graphic>
</fig>
</p>
</sec>
<sec id="sec2.2">
<title>Analysis of fatalities in patients with MERS</title>
<p id="p0030">Thirty-eight deaths were identified via the official daily briefings from MOHW and KCDC. The sex, age and underlying diseases were recorded in these cases. Where patients had multiple underlying diseases, duplicate aggregation was permitted, with each disease treated as one case.</p>
</sec>
<sec id="sec2.3">
<title>Distribution of transmission of MERS clusters and suspected super spreaders in South Korea</title>
<p id="p0035">Super-spreading events are found to occur during infectious disease events in which, according to the Pareto principle, 20% of the infected population is the cause of transmitting the disease to the other 80%.
<xref rid="bib13" ref-type="bibr">13</xref>
,
<xref rid="bib14" ref-type="bibr">14</xref>
Three super spreaders were identified in this study: Patient 1, who infected 28 patients at St. Mary's Hospital, Pyeongtaek; Patient 14, who infected 85 patients at Samsung Medical Centre, Seoul; and Patient 16, who infected 23 patients at Konyang University Hospital and Daejeon Hospital.</p>
</sec>
</sec>
<sec id="sec3">
<title>Results</title>
<sec id="sec3.1">
<title>General characteristics of confirmed MERS cases, outbreak sites and sources of exposure</title>
<p id="p0040">The 186 MERS cases comprised 111 (59.7%) males and 75 (40.3%) females. Overall, the 50–59-years age group was most affected (22.6% of all cases), followed by the 60–69-years and 70–79-years age groups. Females with MERS tended to be older than males (
<xref rid="tbl1" ref-type="table">Table I</xref>
). The 186 cases comprised the index case, his wife (infected in the household setting) and 184 nosocomially acquired cases. The most common route of exposure was through hospital visits (including family members who acted as care-givers), which accounted for 103 (55.7%) cases. Fifty-four (29.2%) cases occurred in patients who were hospitalized for other reasons, and 25 (13.5%) cases were occupationally acquired by healthcare workers (
<xref rid="tbl1" ref-type="table">Table I</xref>
).
<table-wrap position="float" id="tbl1">
<label>Table I</label>
<caption>
<p>Epidemiological characteristics of Middle East respiratory syndrome (MERS) in South Korea (20
<sup>th</sup>
May to 25
<sup>th</sup>
November 2015)</p>
</caption>
<alt-text id="alttext0020">Table I</alt-text>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th colspan="2"></th>
<th>
<italic>N</italic>
</th>
<th>%</th>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="3">Sex</td>
<td>Total</td>
<td align="char">186</td>
<td align="char">100</td>
</tr>
<tr>
<td>Female</td>
<td align="char">75</td>
<td align="char">40.3</td>
</tr>
<tr>
<td>Male</td>
<td align="char">111</td>
<td align="char">59.7</td>
</tr>
<tr>
<td rowspan="8">Age (years)</td>
<td><19</td>
<td align="char">1</td>
<td align="char">0.5</td>
</tr>
<tr>
<td>20–29</td>
<td align="char">13</td>
<td align="char">7.0</td>
</tr>
<tr>
<td>30–39</td>
<td align="char">26</td>
<td align="char">14.0</td>
</tr>
<tr>
<td>40–49</td>
<td align="char">29</td>
<td align="char">15.6</td>
</tr>
<tr>
<td>50–59</td>
<td align="char">42</td>
<td align="char">22.6</td>
</tr>
<tr>
<td>60–69</td>
<td align="char">36</td>
<td align="char">19.4</td>
</tr>
<tr>
<td>70–79</td>
<td align="char">30</td>
<td align="char">16.1</td>
</tr>
<tr>
<td>80–89</td>
<td align="char">9</td>
<td align="char">4.8</td>
</tr>
<tr>
<td>Average age (years)</td>
<td>55</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>Number of cumulative quarantine/isolate cases</td>
<td>16,693</td>
<td></td>
<td></td>
</tr>
<tr>
<td rowspan="2">Outbreak sites
<xref rid="tbl1fna" ref-type="table-fn">a</xref>
<sup>,</sup>
<xref rid="tbl1fnb" ref-type="table-fn">b</xref>
</td>
<td>Infection in hospital
<break></break>
(including health professionals)</td>
<td align="char">184</td>
<td align="char">99.4</td>
</tr>
<tr>
<td>Infection within household</td>
<td align="char">1</td>
<td align="char">0.6</td>
</tr>
<tr>
<td></td>
<td>Infection within communities</td>
<td align="char">0</td>
<td align="char">0</td>
</tr>
<tr>
<td rowspan="3">Route of infection spread
<xref rid="tbl1fna" ref-type="table-fn">a</xref>
</td>
<td>Infection through medical staff or allied health professionals
<xref rid="tbl1fnc" ref-type="table-fn">c</xref>
</td>
<td align="char">28</td>
<td align="char">15.1</td>
</tr>
<tr>
<td>Infection at hospitals for the purpose of own treatment
<xref rid="tbl1fnd" ref-type="table-fn">d</xref>
</td>
<td align="char">54</td>
<td align="char">29.2</td>
</tr>
<tr>
<td>Infection due to hospital visits or care-giving
<xref rid="tbl1fne" ref-type="table-fn">e</xref>
</td>
<td align="char">103</td>
<td align="char">55.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tbl1fna">
<label>a</label>
<p id="ntpara0010">This analysis targeted 185 cases, excluding the index case.</p>
</fn>
</table-wrap-foot>
<table-wrap-foot>
<fn id="tbl1fnb">
<label>b</label>
<p id="ntpara0015">If a case was infected while providing care to a family member who was admitted while showing symptoms of MERS, this case was classified as an in-hospital infection. It was not possible to determine if the infection occurred during the MERS latent period. In the case of in-hospital infections, 25 medical staff were included.</p>
</fn>
</table-wrap-foot>
<table-wrap-foot>
<fn id="tbl1fnc">
<label>c</label>
<p id="ntpara0020">Including doctors, nurses, medical technologists (e.g. radiologists) and patient transfer personnel in hospitals.</p>
</fn>
</table-wrap-foot>
<table-wrap-foot>
<fn id="tbl1fnd">
<label>d</label>
<p id="ntpara0025">Outpatients or inpatients.</p>
</fn>
</table-wrap-foot>
<table-wrap-foot>
<fn id="tbl1fne">
<label>e</label>
<p id="ntpara0030">Including hospital visits and care-giving by family member.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</p>
</sec>
<sec id="sec3.2">
<title>Fatality rate and analysis of underlying disease of patients who died of MERS in South Korea</title>
<p id="p0045">Twenty-six of the 38 fatalities were males; the fatality rate in males (23.4%) was higher than that in females (16.0%). The average age of patients who died was 67.9 years (
<xref rid="tbl2" ref-type="table">Table II</xref>
). Twenty-nine patients had underlying diseases. The most common underlying diseases were respiratory disorders (11 cases, 30.5%), cancer (11 cases, 28.9%), hypertension (eight cases, 22.2%), cardiovascular diseases (five cases, 13.9%) and diabetes (four cases, 11.1%) (
<xref rid="tbl3" ref-type="table">Table III</xref>
).
<table-wrap position="float" id="tbl2">
<label>Table II</label>
<caption>
<p>Fatality rate of patients who died of Middle East respiratory syndrome (MERS) in South Korea (20
<sup>th</sup>
May to 25
<sup>th</sup>
October 2015)</p>
</caption>
<alt-text id="alttext0025">Table II</alt-text>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Sex</th>
<th>Total number of deaths
<xref rid="tbl2fna" ref-type="table-fn">a</xref>
</th>
<th>Fatality rate (%)
<xref rid="tbl2fnb" ref-type="table-fn">b</xref>
</th>
<th>Average age
<break></break>
(years)</th>
</tr>
</thead>
<tbody>
<tr>
<td>Total</td>
<td align="char">38</td>
<td align="char">20.4</td>
<td align="char">67.9</td>
</tr>
<tr>
<td>Male</td>
<td align="char">26</td>
<td align="char">23.4</td>
<td align="char">67.2</td>
</tr>
<tr>
<td>Female</td>
<td align="char">12</td>
<td align="char">16.0</td>
<td align="char">69.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tbl2fna">
<label>a</label>
<p id="ntpara0040">This is the result of an analysis of the underlying diseases of cases that have died from MERS. For cases with multiple underlying diseases, each disease was counted as one case.</p>
</fn>
</table-wrap-foot>
<table-wrap-foot>
<fn id="tbl2fnb">
<label>b</label>
<p id="ntpara0035">(Total number of deaths/total number of cases) × 100.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tbl3">
<label>Table III</label>
<caption>
<p>Epidemiological characteristics of 37 deaths from Middle East respiratory syndrome in South Korea (20
<sup>th</sup>
May to 25
<sup>th</sup>
October 2015)</p>
</caption>
<alt-text id="alttext0030">Table III</alt-text>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Case</th>
<th>Sex</th>
<th>Age (years)</th>
<th>Date of death</th>
<th>Confirmed date</th>
<th>Underlying diseases</th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>Female</td>
<td align="char">57</td>
<td>1
<sup>st</sup>
June</td>
<td>1
<sup>st</sup>
June</td>
<td>Asthma, hypertension, Cushing's syndrome</td>
</tr>
<tr>
<td>2</td>
<td>Male</td>
<td align="char">71</td>
<td>2
<sup>nd</sup>
June</td>
<td>28
<sup>th</sup>
May</td>
<td>COPD, nephrectomy</td>
</tr>
<tr>
<td>3</td>
<td>Male</td>
<td align="char">82</td>
<td>3
<sup>rd</sup>
June</td>
<td>4
<sup>th</sup>
June</td>
<td>Asthma, hypertension</td>
</tr>
<tr>
<td>4</td>
<td>Male</td>
<td align="char">76</td>
<td>4
<sup>th</sup>
June</td>
<td>21
<sup>st</sup>
May</td>
<td>Cholangiocarcinoma, asthma, COPD</td>
</tr>
<tr>
<td>5</td>
<td>Male</td>
<td align="char">75</td>
<td>5
<sup>th</sup>
June</td>
<td>6
<sup>th</sup>
June</td>
<td>Gastric cancer</td>
</tr>
<tr>
<td>6</td>
<td>Female</td>
<td align="char">68</td>
<td>8
<sup>th</sup>
June</td>
<td>6
<sup>th</sup>
June</td>
<td>Valvular disease</td>
</tr>
<tr>
<td>7</td>
<td>Male</td>
<td align="char">80</td>
<td>8
<sup>th</sup>
June</td>
<td>7
<sup>th</sup>
June</td>
<td>Pneumonia</td>
</tr>
<tr>
<td>8</td>
<td>Female</td>
<td align="char">75</td>
<td>10
<sup>th</sup>
June</td>
<td>7
<sup>th</sup>
June</td>
<td>Multiple myeloma</td>
</tr>
<tr>
<td>9</td>
<td>Male</td>
<td align="char">62</td>
<td>10
<sup>th</sup>
June</td>
<td>8
<sup>th</sup>
June</td>
<td>Hepatic cirrhosis, liver cancer</td>
</tr>
<tr>
<td>10</td>
<td>Male</td>
<td align="char">65</td>
<td>11
<sup>th</sup>
June</td>
<td>7
<sup>th</sup>
June</td>
<td>Lung cancer</td>
</tr>
<tr>
<td>11</td>
<td>Male</td>
<td align="char">73</td>
<td>12
<sup>th</sup>
June</td>
<td>1
<sup>st</sup>
June</td>
<td>COPD, asthma</td>
</tr>
<tr>
<td>12</td>
<td>Male</td>
<td align="char">78</td>
<td>12
<sup>th</sup>
June</td>
<td>1
<sup>st</sup>
June</td>
<td>Asthma, hypertension</td>
</tr>
<tr>
<td>13</td>
<td>Female</td>
<td align="char">72</td>
<td>12
<sup>th</sup>
June</td>
<td>6
<sup>th</sup>
June</td>
<td>Pneumonia, ARF</td>
</tr>
<tr>
<td>14</td>
<td>Female</td>
<td align="char">67</td>
<td>13
<sup>th</sup>
June</td>
<td>10
<sup>th</sup>
June</td>
<td>Hypothyroidism, hypertension</td>
</tr>
<tr>
<td>15</td>
<td>Male</td>
<td align="char">58</td>
<td>14
<sup>th</sup>
June</td>
<td>2
<sup>nd</sup>
June</td>
<td>DM</td>
</tr>
<tr>
<td>16</td>
<td>Male</td>
<td align="char">61</td>
<td>14
<sup>th</sup>
June</td>
<td>6
<sup>th</sup>
June</td>
<td>None</td>
</tr>
<tr>
<td>17</td>
<td>Male</td>
<td align="char">49</td>
<td>15
<sup>th</sup>
June</td>
<td>5
<sup>th</sup>
June</td>
<td>Alcoholic cirrhosis of liver, DM</td>
</tr>
<tr>
<td>18</td>
<td>Male</td>
<td align="char">58</td>
<td>15
<sup>th</sup>
June</td>
<td>9
<sup>th</sup>
June</td>
<td>None</td>
</tr>
<tr>
<td>19</td>
<td>Male</td>
<td align="char">65</td>
<td>15
<sup>th</sup>
June</td>
<td>11
<sup>th</sup>
June</td>
<td>None</td>
</tr>
<tr>
<td>20</td>
<td>Male</td>
<td align="char">69</td>
<td>17
<sup>th</sup>
June</td>
<td>4
<sup>th</sup>
June</td>
<td>TB, hypertension</td>
</tr>
<tr>
<td>21</td>
<td>Female</td>
<td align="char">54</td>
<td>17
<sup>th</sup>
June</td>
<td>5
<sup>th</sup>
June</td>
<td>Bronchiectasis, hypertension</td>
</tr>
<tr>
<td>22</td>
<td>Male</td>
<td align="char">64</td>
<td>17
<sup>th</sup>
June</td>
<td>7
<sup>th</sup>
June</td>
<td>Hypertension, asthma, necrotizing pancreatitis, abdominal infection</td>
</tr>
<tr>
<td>23</td>
<td>Female</td>
<td align="char">82</td>
<td>17
<sup>th</sup>
June</td>
<td>7
<sup>th</sup>
June</td>
<td>Hypertension, cataract surgery</td>
</tr>
<tr>
<td>24</td>
<td>Male</td>
<td align="char">75</td>
<td>19
<sup>th</sup>
June</td>
<td>10
<sup>th</sup>
June</td>
<td>None</td>
</tr>
<tr>
<td>25</td>
<td>Male</td>
<td align="char">63</td>
<td>20
<sup>th</sup>
June</td>
<td>10
<sup>th</sup>
June</td>
<td>Myocardial ischaemia, DM</td>
</tr>
<tr>
<td>26</td>
<td>Male</td>
<td align="char">84</td>
<td>22
<sup>nd</sup>
June</td>
<td>9
<sup>th</sup>
June</td>
<td>Lung cancer</td>
</tr>
<tr>
<td>27</td>
<td>Male</td>
<td align="char">87</td>
<td>22
<sup>nd</sup>
June</td>
<td>12
<sup>th</sup>
June</td>
<td>AF, heart failure, cancer, stroke</td>
</tr>
<tr>
<td>28</td>
<td>Male</td>
<td align="char">65</td>
<td>24
<sup>th</sup>
June</td>
<td>6
<sup>th</sup>
June</td>
<td>None</td>
</tr>
<tr>
<td>29</td>
<td>Female</td>
<td align="char">70</td>
<td>24
<sup>th</sup>
June</td>
<td>22
<sup>nd</sup>
June</td>
<td>None</td>
</tr>
<tr>
<td>30</td>
<td>Female</td>
<td align="char">79</td>
<td>25
<sup>th</sup>
June</td>
<td>7
<sup>th</sup>
June</td>
<td>DM, cerebral infarction</td>
</tr>
<tr>
<td>31</td>
<td>Female</td>
<td align="char">80</td>
<td>26
<sup>th</sup>
June</td>
<td>13
<sup>th</sup>
June</td>
<td>Bladder cancer</td>
</tr>
<tr>
<td>32</td>
<td>Male</td>
<td align="char">55</td>
<td>27
<sup>th</sup>
June</td>
<td>9
<sup>th</sup>
June</td>
<td>None</td>
</tr>
<tr>
<td>33</td>
<td>Female</td>
<td align="char">81</td>
<td>29
<sup>th</sup>
June</td>
<td>6
<sup>th</sup>
June</td>
<td>Hypertension, cardiac valvular disease, cerebral infarction</td>
</tr>
<tr>
<td>34</td>
<td>Female</td>
<td align="char">50</td>
<td>7
<sup>th</sup>
July</td>
<td>23
<sup>rd</sup>
June</td>
<td>Lymphoma, TB</td>
</tr>
<tr>
<td>35</td>
<td>Male</td>
<td align="char">70</td>
<td>8
<sup>th</sup>
July</td>
<td>12
<sup>th</sup>
June</td>
<td>None</td>
</tr>
<tr>
<td>36</td>
<td>Male</td>
<td align="char">60</td>
<td>10
<sup>th</sup>
July</td>
<td>16
<sup>th</sup>
June</td>
<td>Lung cancer</td>
</tr>
<tr>
<td>37</td>
<td>Male</td>
<td align="char">66</td>
<td>25
<sup>th</sup>
October</td>
<td>15
<sup>th</sup>
June</td>
<td>None</td>
</tr>
<tr>
<td>38</td>
<td>Male</td>
<td align="char">35</td>
<td>25
<sup>th</sup>
November</td>
<td>5
<sup>th</sup>
June</td>
<td>Cutaneous lymphoma</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>COPD, chronic obstructive pulmonary disease; DM, diabetes mellitus; TB, tuberculosis; ARF, acute renal failure; AF, atrial fibrillation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</p>
</sec>
<sec id="sec3.3">
<title>Timeline of confirmed MERS cases in South Korea in 2015</title>
<p id="p0050">From identification of the first MERS patient to mid-June 2015, the numbers of confirmed and suspected MERS cases increased rapidly. The first death from MERS occurred on 1
<sup>st</sup>
June 2015. On 17
<sup>th</sup>
June 2015, the number of suspected cases placed in isolation peaked at 6729. By 26
<sup>th</sup>
October 2015, 16,752 people had been isolated. The 186
<sup>th</sup>
confirmed case was diagnosed on 4
<sup>th</sup>
July 2015, and no further cases were confirmed. The last death occurred on 25
<sup>th</sup>
November 2015.</p>
</sec>
<sec id="sec3.4">
<title>Distribution of MERS clusters and suspected super spreaders in South Korea</title>
<p id="p0055">The MERS outbreak in South Korea involved both intra- and interhospital transmission.
<xref rid="bib9" ref-type="bibr">
<sup>9</sup>
</xref>
The index case visited four hospitals whilst symptomatic between 11
<sup>th</sup>
and 20
<sup>th</sup>
May 2015, when he was diagnosed with MERS. During this period, he infected 28 people. Patient 14 was likely to have been infected during his stay at St. Mary's Hospital, Pyeongtaek between 15
<sup>th</sup>
and 17
<sup>th</sup>
May 2015. He was subsequently admitted to the emergency room at Samsung Medical Centre on 20
<sup>th</sup>
May 2015, and was diagnosed with MERS on 30
<sup>th</sup>
May 2015. During his stay at Samsung Medical Centre, he infected 81 patients; he then infected a further four patients at Good-morning Hospital, Pyeongtaek. Patient 16 was also infected at St. Mary's Hospital, Pyeongtaek between 15
<sup>th</sup>
and 16
<sup>th</sup>
May; he then infected 23 people at Konyang University Hospital and Daejeon Hospital (
<xref rid="fig2" ref-type="fig">Figure 2</xref>
).
<fig id="fig2">
<label>Figure 2</label>
<caption>
<p>Distribution of transmission of Middle East respiratory syndrome coronavirus clusters and suspected super spreaders in South Korea (20
<sup>th</sup>
May to 25
<sup>th</sup>
November 2015).</p>
</caption>
<alt-text id="alttext0015">Figure 2</alt-text>
<graphic xlink:href="gr2_lrg"></graphic>
</fig>
</p>
</sec>
</sec>
<sec id="sec4">
<title>Discussion</title>
<p id="p0060">South Korea has the world's second highest number of confirmed MERS cases after Saudi Arabia. While South Korea has officially reported 186 confirmed cases of MERS, WHO reports 185 confirmed cases.
<xref rid="bib2" ref-type="bibr">
<sup>2</sup>
</xref>
This discrepancy is due to the fact that the South Korean Government included a South Korean patient who was diagnosed with MERS in China during a business trip, despite the fact that he was a suspected case while in South Korea. As in Saudi Arabia, MERS was more common in males than in females in South Korea.
<xref rid="bib15" ref-type="bibr">
<sup>15</sup>
</xref>
</p>
<p id="p0065">MERS-CoV has the same coronavirus lineage as the severe acute respiratory syndrome coronavirus (SARS-CoV).
<xref rid="bib16" ref-type="bibr">
<sup>16</sup>
</xref>
Zumla
<italic>et al.</italic>
and Chowell
<italic>et al.</italic>
compared the general characteristics between MERS and SARS.
<xref rid="bib8" ref-type="bibr">8</xref>
,
<xref rid="bib10" ref-type="bibr">10</xref>
They reported that more than 90% of both MERS and SARS cases were adults. However, whereas 64.5% of MERS cases were males, 57% of SARS cases were females.
<xref rid="bib8" ref-type="bibr">8</xref>
,
<xref rid="bib9" ref-type="bibr">9</xref>
,
<xref rid="bib10" ref-type="bibr">10</xref>
The reason for this apparent difference between the two infections is unknown; it may be related to differences in the sex distribution of the total populations at risk of the two infections.
<xref rid="bib17" ref-type="bibr">
<sup>17</sup>
</xref>
The average age of confirmed MERS patients in South Korea was 55 years, which is a little higher than that reported by Zumla
<italic>et al.</italic>
(50 years).
<xref rid="bib8" ref-type="bibr">8</xref>
,
<xref rid="bib9" ref-type="bibr">9</xref>
Zumla
<italic>et al.</italic>
also reported a case of MERS in a 1 year old, although only 2% of cases were in children.
<xref rid="bib8" ref-type="bibr">
<sup>8</sup>
</xref>
The youngest confirmed case in South Korea was a 16-year-old male (Case No. 67, who was the son of Case No. 46).
<xref rid="bib11" ref-type="bibr">11</xref>
,
<xref rid="bib12" ref-type="bibr">12</xref>
</p>
<p id="p0070">The fatality rate for MERS in South Korea was 19.9%. In contrast, the European Centre for Disease Control and Prevention reported that the global MERS fatality rate between March 2012 and October 2015 was 38.6% (1616 confirmed cases and 624 deaths). There were marked regional differences in mortality rates: 41.1% in the Middle East, 53.3% in Europe and 40.0% in Africa, compared with 19.2% in Asian countries.
<xref rid="bib3" ref-type="bibr">
<sup>3</sup>
</xref>
Among probable SARS cases that occurred during 2002 and 2003, the global case fatality rate was lower at 9.6% (774 deaths in 8098 cases), but again there was considerable regional variation.
<xref rid="bib18" ref-type="bibr">
<sup>18</sup>
</xref>
One of the reasons why South Korea has a lower fatality rate than other MERS-outbreak countries may be accessibility to a high level of emergency medical treatment. The difference does not appear to be attributable to mutations in the virus.
<xref rid="bib19" ref-type="bibr">
<sup>19</sup>
</xref>
There was also a difference in the types of underlying conditions associated with fatal MERS in South Korea compared with Saudi Arabia. In Saudi Arabia, diabetes mellitus (74% of patients) was the most common underlying condition in fatal cases, followed by end-stage renal disease (52%), lung disease (43%) and cardiac disease (39%).
<xref rid="bib20" ref-type="bibr">
<sup>20</sup>
</xref>
However, in South Korea, respiratory disease (30.5%), cancer (27.8%) and hypertension (22.2%) were the most common underlying conditions.</p>
<p id="p0075">Oboho
<italic>et al.</italic>
reported that 109 (97.3%) of 112 patients in the Jeddah area of Saudi Arabia, who were not healthcare workers, contracted MERS through contact with someone in a healthcare facility.
<xref rid="bib20" ref-type="bibr">
<sup>20</sup>
</xref>
Likewise, the present study found that 99.4% of cases were nosocomially acquired. The MERS infection routes in South Korea are characterized by both intra- and interhospital transmission.
<xref rid="bib9" ref-type="bibr">
<sup>9</sup>
</xref>
Cases of community-acquired transmission were not found, corroborating the findings of the WHO report that there was no evidence of transmission outside hospitals in South Korea.
<xref rid="bib16" ref-type="bibr">16</xref>
,
<xref rid="bib21" ref-type="bibr">21</xref>
,
<xref rid="bib22" ref-type="bibr">22</xref>
However, it was noted that MERS testing was only available to patients known to have been in close contact with a confirmed or suspected case; as such, more casual contacts of MERS cases may have been missed because they were not tested. However, global experience does indicate that MERS is predominantly a nosocomially acquired infection,
<xref rid="bib18" ref-type="bibr">
<sup>18</sup>
</xref>
so restrictions on visitors are likely to play a key role in controlling MERS.
<xref rid="bib23" ref-type="bibr">
<sup>23</sup>
</xref>
</p>
<p id="p0080">Immediately after the MERS outbreak in South Korea, many researchers reported various problems with the South Korean Government's MERS control measures. It was reported that South Korea's MERS outbreak was caused by poor hospital infection control standards and lack of monitoring close contacts, which was also the case in Saudi Arabia.
<xref rid="bib19" ref-type="bibr">
<sup>19</sup>
</xref>
It was highlighted that public risk communication was delayed because the South Korean Government prioritized the determination of all details of the outbreak rather than information disclosure. This resulted in widespread panic during the MERS crisis.
<xref rid="bib24" ref-type="bibr">
<sup>24</sup>
</xref>
Jack pointed out that while the biological basis for the initial failure to contain MERS is unclear, a number of factors contributed significantly, including ‘doctor shopping’ behaviour (i.e. a patient seeks treatment from various hospitals for the same ailment), lack of epidemiology experts, the culture of frequent hospital visits and familial care-giving, and the South Korean Government's steadfast stance on keeping information contained.
<xref rid="bib25" ref-type="bibr">
<sup>25</sup>
</xref>
WHO experts indicated that problems with the initial spread of MERS in South Korea included prevalent occurrences among medical staff, lack of hospital infection management procedures, extremely crowded emergency rooms and multi-bed rooms in some hospitals, ‘doctor shopping’ behaviour, and the spread of infection through patient's family members or friends during hospital visits.
<xref rid="bib26" ref-type="bibr">
<sup>26</sup>
</xref>
Finally, Choi
<italic>et al.</italic>
reported that South Korea's initial failure to control MERS was caused by South Korea's rigid application of MERS control guidelines which failed to isolate all close contacts, failure to recognize super-spreading events, environmental factors such as inadequate ventilation, insufficient infectious disease management capacity in secondary hospitals, and the South Korean Government's inadequate crisis management communication.
<xref rid="bib4" ref-type="bibr">
<sup>4</sup>
</xref>
</p>
<p id="p0085">Many healthcare professionals in South Korea reported that the spread of MERS in South Korea could be characterized by the fact that hospitals acted as the main infection location, and by super-spreading events, where one case infects a number of others.
<xref rid="bib4" ref-type="bibr">4</xref>
,
<xref rid="bib9" ref-type="bibr">9</xref>
,
<xref rid="bib10" ref-type="bibr">10</xref>
The occurrence of super-spreading events is known to be determined by physiological factors of the host, transmissibility of the pathogen, and the environment (e.g. crowding).
<xref rid="bib27" ref-type="bibr">
<sup>27</sup>
</xref>
Lim pointed out that as the MERS-CoV isolated in South Korea did not differ from that isolated in other countries, there is a lack of biological evidence to support the occurrence of super-spreading events.
<xref rid="bib28" ref-type="bibr">
<sup>28</sup>
</xref>
As such, super-spreading events must have been caused by environmental factors, including the South Korean Government's inadequate crisis response management. Other countries should be aware of this in their response to imported MERS cases. The debate on MERS infection handling in South Korea continues, with many local experts proposing improvement measures locally to prevent future national outbreaks of infectious diseases.
<xref rid="bib29" ref-type="bibr">29</xref>
,
<xref rid="bib30" ref-type="bibr">30</xref>
,
<xref rid="bib31" ref-type="bibr">31</xref>
,
<xref rid="bib32" ref-type="bibr">32</xref>
,
<xref rid="bib33" ref-type="bibr">33</xref>
</p>
<p id="p0090">This narrative account of the South Korean experience of MERS describes some issues that are of local importance alone, but also contains some important lessons of wider relevance. First, the importance of early detection of cases; second, the role of super spreaders of the virus; and third, the importance of restricting hospital visitors as a control measure. It is also suggested that hospitals need to be prepared for eventualities such as MERS, such as by ensuring that they have the necessary facilities and equipment for patient isolation. For countries such as South Korea where medical care is insurance based, insurance coverage for infectious diseases should be included in insurance plans to ensure that there are no delays in clinical care.</p>
</sec>
<sec id="sec5">
<title>Conflict of interest statement</title>
<p id="p0095">None declared.</p>
</sec>
</body>
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