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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Asymptomatic Middle East Respiratory Syndrome coronavirus infection using a serologic survey in Korea</title><author><name sortKey="Song, Yeong Jun" sort="Song, Yeong Jun" uniqKey="Song Y" first="Yeong-Jun" last="Song">Yeong-Jun Song</name><affiliation><nlm:aff id="af1-epih-40-e2018014">Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Yang, Jeong Sun" sort="Yang, Jeong Sun" uniqKey="Yang J" first="Jeong-Sun" last="Yang">Jeong-Sun Yang</name><affiliation><nlm:aff id="af2-epih-40-e2018014">Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Yoon, Hee Jung" sort="Yoon, Hee Jung" uniqKey="Yoon H" first="Hee Jung" last="Yoon">Hee Jung Yoon</name><affiliation><nlm:aff id="af3-epih-40-e2018014">Korean Society of Infectious Diseases, Seoul,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Nam, Hae Sung" sort="Nam, Hae Sung" uniqKey="Nam H" first="Hae-Sung" last="Nam">Hae-Sung Nam</name><affiliation><nlm:aff id="af4-epih-40-e2018014">Department of Preventive Medicine and Public Health, Chungnam National University School of Medicine, Daejeon,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Lee, Soon Young" sort="Lee, Soon Young" uniqKey="Lee S" first="Soon Young" last="Lee">Soon Young Lee</name><affiliation><nlm:aff id="af5-epih-40-e2018014">Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Cheong, Hae Kwan" sort="Cheong, Hae Kwan" uniqKey="Cheong H" first="Hae-Kwan" last="Cheong">Hae-Kwan Cheong</name><affiliation><nlm:aff id="af6-epih-40-e2018014">Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Park, Woo Jung" sort="Park, Woo Jung" uniqKey="Park W" first="Woo-Jung" last="Park">Woo-Jung Park</name><affiliation><nlm:aff id="af2-epih-40-e2018014">Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Park, Sung Han" sort="Park, Sung Han" uniqKey="Park S" first="Sung Han" last="Park">Sung Han Park</name><affiliation><nlm:aff id="af2-epih-40-e2018014">Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Choi, Bo Youl" sort="Choi, Bo Youl" uniqKey="Choi B" first="Bo Youl" last="Choi">Bo Youl Choi</name><affiliation><nlm:aff id="af7-epih-40-e2018014">Department of Preventive Medicine, Hanyang University College of Medicine, Seoul,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Kim, Sung Soon" sort="Kim, Sung Soon" uniqKey="Kim S" first="Sung Soon" last="Kim">Sung Soon Kim</name><affiliation><nlm:aff id="af2-epih-40-e2018014">Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Ki, Moran" sort="Ki, Moran" uniqKey="Ki M" first="Moran" last="Ki">Moran Ki</name><affiliation><nlm:aff id="af1-epih-40-e2018014">Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang,<country>Korea</country></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">29656631</idno><idno type="pmc">5968208</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968208</idno><idno type="RBID">PMC:5968208</idno><idno type="doi">10.4178/epih.e2018014</idno><date when="2018">2018</date><idno type="wicri:Area/Pmc/Corpus">000C49</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000C49</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Asymptomatic Middle East Respiratory Syndrome coronavirus infection using a serologic survey in Korea</title><author><name sortKey="Song, Yeong Jun" sort="Song, Yeong Jun" uniqKey="Song Y" first="Yeong-Jun" last="Song">Yeong-Jun Song</name><affiliation><nlm:aff id="af1-epih-40-e2018014">Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Yang, Jeong Sun" sort="Yang, Jeong Sun" uniqKey="Yang J" first="Jeong-Sun" last="Yang">Jeong-Sun Yang</name><affiliation><nlm:aff id="af2-epih-40-e2018014">Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Yoon, Hee Jung" sort="Yoon, Hee Jung" uniqKey="Yoon H" first="Hee Jung" last="Yoon">Hee Jung Yoon</name><affiliation><nlm:aff id="af3-epih-40-e2018014">Korean Society of Infectious Diseases, Seoul,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Nam, Hae Sung" sort="Nam, Hae Sung" uniqKey="Nam H" first="Hae-Sung" last="Nam">Hae-Sung Nam</name><affiliation><nlm:aff id="af4-epih-40-e2018014">Department of Preventive Medicine and Public Health, Chungnam National University School of Medicine, Daejeon,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Lee, Soon Young" sort="Lee, Soon Young" uniqKey="Lee S" first="Soon Young" last="Lee">Soon Young Lee</name><affiliation><nlm:aff id="af5-epih-40-e2018014">Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Cheong, Hae Kwan" sort="Cheong, Hae Kwan" uniqKey="Cheong H" first="Hae-Kwan" last="Cheong">Hae-Kwan Cheong</name><affiliation><nlm:aff id="af6-epih-40-e2018014">Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Park, Woo Jung" sort="Park, Woo Jung" uniqKey="Park W" first="Woo-Jung" last="Park">Woo-Jung Park</name><affiliation><nlm:aff id="af2-epih-40-e2018014">Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Park, Sung Han" sort="Park, Sung Han" uniqKey="Park S" first="Sung Han" last="Park">Sung Han Park</name><affiliation><nlm:aff id="af2-epih-40-e2018014">Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Choi, Bo Youl" sort="Choi, Bo Youl" uniqKey="Choi B" first="Bo Youl" last="Choi">Bo Youl Choi</name><affiliation><nlm:aff id="af7-epih-40-e2018014">Department of Preventive Medicine, Hanyang University College of Medicine, Seoul,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Kim, Sung Soon" sort="Kim, Sung Soon" uniqKey="Kim S" first="Sung Soon" last="Kim">Sung Soon Kim</name><affiliation><nlm:aff id="af2-epih-40-e2018014">Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju,<country>Korea</country></nlm:aff></affiliation></author><author><name sortKey="Ki, Moran" sort="Ki, Moran" uniqKey="Ki M" first="Moran" last="Ki">Moran Ki</name><affiliation><nlm:aff id="af1-epih-40-e2018014">Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang,<country>Korea</country></nlm:aff></affiliation></author></analytic><series><title level="j">Epidemiology and Health</title><idno type="eISSN">2092-7193</idno><imprint><date when="2018">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>OBJECTIVES</title><p>The rates of asymptomatic infection with Middle East Respiratory Syndrome (MERS) coronavirus vary. A serologic study was conducted to determine the asymptomatic MERS infection rate in healthcare workers and non-healthcare workers by exposure status.</p></sec><sec><title>METHODS</title><p>Study participants were selected from contacts of MERS patients based on a priority system in 4 regions strongly affected by the 2015 MERS outbreak. A sero-epidemiological survey was performed in 1,610 contacts (average duration from exposure to test, 4.8 months), and the collected sera were tested using an enzyme-linked immunespecific assay (ELISA), immunofluorescence assay (IFA), and plaque reduction neutralization antibody test (PRNT). Among the 1,610 contacts, there were 7 ELISA-positive cases, of which 1 exhibited positive IFA and PRNT results.</p></sec><sec><title>RESULTS</title><p>The asymptomatic infection rate was 0.060% (95% confidence interval, 0.002 to 0.346). The asymptomatic MERS case was a patient who had been hospitalized with patient zero on the same floor of the hospital at the same time. The case was quarantined at home for 2 weeks after discharge, and had underlying diseases, including hypertension, angina, and degenerative arthritis.</p></sec><sec><title>CONCLUSIONS</title><p>The asymptomatic infection was acquired via healthcare-associated transmission. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Epidemiol Health</journal-id><journal-id journal-id-type="iso-abbrev">Epidemiol Health</journal-id><journal-id journal-id-type="publisher-id">EPIH</journal-id><journal-title-group><journal-title>Epidemiology and Health</journal-title></journal-title-group><issn pub-type="epub">2092-7193</issn><publisher><publisher-name>Korean Society of Epidemiology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">29656631</article-id><article-id pub-id-type="pmc">5968208</article-id><article-id pub-id-type="doi">10.4178/epih.e2018014</article-id><article-id pub-id-type="publisher-id">epih-40-e2018014</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject></subj-group></article-categories><title-group><article-title>Asymptomatic Middle East Respiratory Syndrome coronavirus infection using a serologic survey in Korea</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-5543-8574</contrib-id><name><surname>Song</surname><given-names>Yeong-jun</given-names></name><xref ref-type="aff" rid="af1-epih-40-e2018014"><sup>1</sup></xref><xref ref-type="author-notes" rid="fn1-epih-40-e2018014"><sup>*</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-5005-9738</contrib-id><name><surname>Yang</surname><given-names>Jeong-Sun</given-names></name><xref ref-type="aff" rid="af2-epih-40-e2018014"><sup>2</sup></xref><xref ref-type="author-notes" rid="fn1-epih-40-e2018014"><sup>*</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-9860-4774</contrib-id><name><surname>Yoon</surname><given-names>Hee Jung</given-names></name><xref ref-type="aff" rid="af3-epih-40-e2018014"><sup>3</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-0911-4576</contrib-id><name><surname>Nam</surname><given-names>Hae-Sung</given-names></name><xref ref-type="aff" rid="af4-epih-40-e2018014"><sup>4</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-3160-577X</contrib-id><name><surname>Lee</surname><given-names>Soon Young</given-names></name><xref ref-type="aff" rid="af5-epih-40-e2018014"><sup>5</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-2758-9399</contrib-id><name><surname>Cheong</surname><given-names>Hae-Kwan</given-names></name><xref ref-type="aff" rid="af6-epih-40-e2018014"><sup>6</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-6693-0364</contrib-id><name><surname>Park</surname><given-names>Woo-Jung</given-names></name><xref ref-type="aff" rid="af2-epih-40-e2018014"><sup>2</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-4540-0115</contrib-id><name><surname>Park</surname><given-names>Sung Han</given-names></name><xref ref-type="aff" rid="af2-epih-40-e2018014"><sup>2</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-0115-5736</contrib-id><name><surname>Choi</surname><given-names>Bo Youl</given-names></name><xref ref-type="aff" rid="af7-epih-40-e2018014"><sup>7</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-2774-6710</contrib-id><name><surname>Kim</surname><given-names>Sung Soon</given-names></name><xref ref-type="aff" rid="af2-epih-40-e2018014"><sup>2</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-8892-7104</contrib-id><name><surname>Ki</surname><given-names>Moran</given-names></name><xref ref-type="corresp" rid="c1-epih-40-e2018014"></xref><xref ref-type="aff" rid="af1-epih-40-e2018014"><sup>1</sup></xref></contrib><aff id="af1-epih-40-e2018014"><label>1</label>Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang,<country>Korea</country></aff><aff id="af2-epih-40-e2018014"><label>2</label>Korea National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju,<country>Korea</country></aff><aff id="af3-epih-40-e2018014"><label>3</label>Korean Society of Infectious Diseases, Seoul,<country>Korea</country></aff><aff id="af4-epih-40-e2018014"><label>4</label>Department of Preventive Medicine and Public Health, Chungnam National University School of Medicine, Daejeon,<country>Korea</country></aff><aff id="af5-epih-40-e2018014"><label>5</label>Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon,<country>Korea</country></aff><aff id="af6-epih-40-e2018014"><label>6</label>Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon,<country>Korea</country></aff><aff id="af7-epih-40-e2018014"><label>7</label>Department of Preventive Medicine, Hanyang University College of Medicine, Seoul,<country>Korea</country></aff></contrib-group><author-notes><corresp id="c1-epih-40-e2018014">Correspondence: Moran Ki Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang 10408, Korea E-mail: <email>moranki@ncc.re.kr</email></corresp><fn id="fn1-epih-40-e2018014"><label>*</label><p>Song & Yang contributed equally to this work as joint first authors.</p></fn></author-notes><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>15</day><month>4</month><year>2018</year></pub-date><volume>40</volume><elocation-id>e2018014</elocation-id><history><date date-type="received"><day>26</day><month>3</month><year>2018</year></date><date date-type="accepted"><day>15</day><month>4</month><year>2018</year></date></history><permissions><copyright-statement>©2018, Korean Society of Epidemiology</copyright-statement><copyright-year>2018</copyright-year><license><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 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>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><sec><title>OBJECTIVES</title><p>The rates of asymptomatic infection with Middle East Respiratory Syndrome (MERS) coronavirus vary. A serologic study was conducted to determine the asymptomatic MERS infection rate in healthcare workers and non-healthcare workers by exposure status.</p></sec><sec><title>METHODS</title><p>Study participants were selected from contacts of MERS patients based on a priority system in 4 regions strongly affected by the 2015 MERS outbreak. A sero-epidemiological survey was performed in 1,610 contacts (average duration from exposure to test, 4.8 months), and the collected sera were tested using an enzyme-linked immunespecific assay (ELISA), immunofluorescence assay (IFA), and plaque reduction neutralization antibody test (PRNT). Among the 1,610 contacts, there were 7 ELISA-positive cases, of which 1 exhibited positive IFA and PRNT results.</p></sec><sec><title>RESULTS</title><p>The asymptomatic infection rate was 0.060% (95% confidence interval, 0.002 to 0.346). The asymptomatic MERS case was a patient who had been hospitalized with patient zero on the same floor of the hospital at the same time. The case was quarantined at home for 2 weeks after discharge, and had underlying diseases, including hypertension, angina, and degenerative arthritis.</p></sec><sec><title>CONCLUSIONS</title><p>The asymptomatic infection was acquired via healthcare-associated transmission. Thus, it is necessary to extend serologic studies to include inpatient contacts who have no symptoms.</p></sec></abstract><kwd-group><kwd>Asymptomatic infection</kwd><kwd>Epidemiology</kwd><kwd>Middle East Respiratory Syndrome coronavirus</kwd><kwd>Nosocomial infections</kwd><kwd>Outbreak</kwd><kwd>Enzyme-linked immunespecific assay</kwd></kwd-group></article-meta></front><body><sec sec-type="intro"><title>INTRODUCTION</title><p>Middle East Respiratory Syndrome (MERS) is a severe respiratory infection caused by a novel beta coronavirus (MERS-CoV) [<xref rid="b1-epih-40-e2018014" ref-type="bibr">1</xref>-<xref rid="b3-epih-40-e2018014" ref-type="bibr">3</xref>]. The symptoms of MERS include fever, chills, cough, shortness of breath, gastrointestinal symptoms, expectoration, wheezing, chest pain, hemoptysis, sore throat, headache, myalgia, abdominal pain, vomiting, and diarrhea; it can also cause death in severe cases [<xref rid="b3-epih-40-e2018014" ref-type="bibr">3</xref>-<xref rid="b6-epih-40-e2018014" ref-type="bibr">6</xref>].</p><p>The causative pathogen of MERS is transmitted via 4 modes: animal-to-human, intra-familial, healthcare-associated, and travel-related [<xref rid="b7-epih-40-e2018014" ref-type="bibr">7</xref>,<xref rid="b8-epih-40-e2018014" ref-type="bibr">8</xref>]. The 186 cases that occurred in South Korea (hereafter Korea) were predominantly caused by healthcare-associated transmission [<xref rid="b7-epih-40-e2018014" ref-type="bibr">7</xref>,<xref rid="b9-epih-40-e2018014" ref-type="bibr">9</xref>-<xref rid="b11-epih-40-e2018014" ref-type="bibr">11</xref>], followed by intra-familial transmission.</p><p>According to data reported to the World Health Organization, the rates of asymptomatic or mild infection were 44 of 398 (28.60%) in Saudi Arabia, the United Arab Emirates, and the Islamic Republic of Iran between April and June 2014, and 32 of 113 (28.31%) in Saudi Arabia in June 2014 [<xref rid="b12-epih-40-e2018014" ref-type="bibr">12</xref>,<xref rid="b13-epih-40-e2018014" ref-type="bibr">13</xref>]. However, Oboho et al. [<xref rid="b14-epih-40-e2018014" ref-type="bibr">14</xref>] reported that 78.79% (26 of 33) of initially reported asymptomatic patients had at least 1 symptom. In Korea, among the 186 confirmed cases, 3 asymptomatic cases were detected among healthcare workers via screening tests (1.61%) [<xref rid="b15-epih-40-e2018014" ref-type="bibr">15</xref>]. In serologic studies using indirect immunofluorescence tests for healthcare workers who were at MERS-affected hospitals, 2 of 457 (0.44%) had positive results [<xref rid="b16-epih-40-e2018014" ref-type="bibr">16</xref>]. However, no report has been published regarding the asymptomatic infection rate among non-healthcare workers in Korea. There is a considerable chance of human-to-human transmission, as well as direct infection via the dromedary camel [<xref rid="b17-epih-40-e2018014" ref-type="bibr">17</xref>-<xref rid="b19-epih-40-e2018014" ref-type="bibr">19</xref>]. Therefore, it is necessary to identify the rate of asymptomatic MERS infections in healthcare workers and non-healthcare workers.</p></sec><sec sec-type="materials|methods"><title>MATERIALS AND METHODS</title><sec><title>Selection and participation of individuals</title><p>This survey was conducted between August 2015 and February 2016 after the last MERS case diagnosed in July 5, 2015. Based on a database of quarantined individuals provided by the Department of Epidemiologic Investigation of the Korea Centers for Disease Control and Prevention (KCDC), individuals from 4 regions with major outbreaks—Seoul, Gyeonggi, Chungcheong, and Jeonbuk —were selected. Individuals whose MERS status was diagnosed as positive using a polymerase chain reaction test were excluded from the analysis of this study. From the 14,831 quarantined individuals, 7,233 residents (48.8%) living in the 4 major MERS outbreak regions were selected. Of these individuals, calls requesting participation in this study were made to 3,291 individuals (45.5%) according to prioritization groupings. A total of 1,610 individuals (48.9%) ultimately participated in the study (<xref rid="f1-epih-40-e2018014" ref-type="fig">Figure 1</xref>). Those who refused to participate have been described in another study [<xref rid="b20-epih-40-e2018014" ref-type="bibr">20</xref>].</p><p>The study individuals were prioritized in groups according to the transmission intensity of the MERS case they were exposed to, as follows: contact with super-spreading events (5 or more individuals infected) [<xref rid="b21-epih-40-e2018014" ref-type="bibr">21</xref>], contact with spreaders who infected 1 to 4 individuals, and contact with non-spreaders. We selected study subjects according to this prioritization of groups, and the selection rates were 48.8, 16.4, and 15.8%, respectively. We also categorized the subjects according to their exposure intensity (i.e., status when they were exposed to the MERS case), as follows: inpatients or outpatients at a MERS-affected hospital, cohabiting family members or paid caregivers of the MERS case, visitors of the hospitalized MERS case, healthcare workers employed at a MERS-affected hospital, and colleague of the MERS case. We selected more subjects from the categories of family, patients, and visitors (<xref rid="t1-epih-40-e2018014" ref-type="table">Table 1</xref>).</p></sec><sec><title>Study performance</title><p>Only individuals who consented to participate in the study through a telephone call and gave written consent at the time of study initiation underwent surveys at local public health centers. Each participant responded to a questionnaire on exposure and provided a blood sample. Following the first serologic test by an enzymelinked immunospecific assay (ELISA), positive or borderline cases were tested using an immunofluorescence assay (IFA) and a plaque reduction neutralization antibody test (PRNT).</p></sec><sec><title>Antibody tests</title><p>MERS-CoV antibody levels in all sera collected from contacts were measured using a recombinant S1 protein-coated human anti-MERS-CoV (immunoglobulin G [IgG]) ELISA kit (Euroimmun, Luebeck, Germany), which was used according to the manufacturer’s protocol. The results of the tested samples were determined by calculating the ratio of the optical density (OD) value of the sample to the OD value of the calibrator. Ratios ≥ 1.1 were considered positive, ratios ≥ 0.8 to < 1.1 were considered borderline, and ratios < 0.8 were considered negative.</p><p>IFA slides were coated with MERS-CoV non-infected or infected Vero cells. Serum samples were diluted in phosphate-buffered saline (PBS) to 1:10, 1:100, 1:250, and 1:1,000, transferred to IFA slides, and incubated for 30 minutes at 37°C in a humidified chamber. The IFA slides were washed 3 times in PBS-T for 5 minutes each and incubated with fluorescein isothiocyanate-conjugated rabbit anti-human IgG (Abcam, Cambridge, MA, USA) diluted at 1:800 for 30 minutes at 37°C in a humidified chamber. After washing 3 times in PBS-T for 5 minutes, the slides were embedded with a mounting fluid, topped with a cover glass, and observed under a fluorescent microscope.</p><p>The neutralizing antibodies in the serum samples were measured by PRNT. The PRNT procedures were performed as follows. In brief, 1:10 diluted sera were heat-inactivated at 56°C for 30 minutes. Heat-inactivated sera were diluted serially 4-fold. After an equal volume of virus (MERS-CoV/KOR/KNIH/002_05_2015) was added to the volume of serum dilutions, these mixtures were incubated at 37°C for 2 hours. The mixtures were added to each well of the 24-well plate cultured with Vero cells. The plate was incubated at 37°C for 60 minutes, and 1 mL of 1.5% carboxymethylcellulose overlay medium was then added. After incubation for 3-4 days, cell staining was performed by crystal violet. The titer of neutralizing antibody by PRNT<sub>50</sub> was calculated using the Kärber formula, as described previously [<xref rid="b22-epih-40-e2018014" ref-type="bibr">22</xref>]. A titer above 1:20 was interpreted as positive. All sera with a positive or borderline reaction in ELISA were tested by the IFA and PRNT assays for confirmation, and cases with positive results from any 2 assays were considered to be anti-MERS positive.</p><p>This study received approval from the bioethics committee of the KCDC (2015-08-EXP-03-P-A) and the institutional review board of the National Cancer Center (NCC 2016-0058). Informed consent was obtained from study participants or their parent or legal guardian for children under 14.</p></sec></sec><sec sec-type="results"><title>RESULTS</title><p>Among the 3,291 selected individuals, the response rates of contacts with super-spreading events (5 or more individuals infected), contacts with spreaders who infected 1-4 individuals, and contacts with non-spreaders were 39.8% (552 of 1,388), 40.3% (139 of 345), and 59.0% (919 of 1,558), respectively. According to their status when they were exposed to the MERS case, the highest response rates were found for healthcare workers (99.4%), and family members (97.1%), followed by visitors (75.8%), colleagues (49.0%), and patients (36.8%) (<xref rid="t1-epih-40-e2018014" ref-type="table">Table 1</xref>).</p><p>The seropositive rate using ELISA was 1.05% (6 of 574) in patients, 0.33% (1 of 307) in healthcare workers, and 0.43% (7 of 1,610) overall. Among the 7 ELISA-positive individuals, 3 had contact with a super-spreading event (patient zero, case #1) whoinfected 28 individuals [<xref rid="b23-epih-40-e2018014" ref-type="bibr">23</xref>], 1 had contact with a spreader (case #118) who infected 2 individuals, and 3 had contact with a non-spreader (case #89). Among the ELISA-positive individuals, only 1 was both IFA-positive and PRNT-positive. Therefore, the confirmed rates of asymptomatic MERS infection were 0.17% in patients and 0.060% (95% confidence interval, 0.002 to 0.346) overall (<xref rid="t1-epih-40-e2018014" ref-type="table">Table 1</xref>).</p><p>The confirmed asymptomatic case, patient zero, and 11 secondary MERS patients were hospitalized on the same floor of the hospital at the same time [<xref rid="b23-epih-40-e2018014" ref-type="bibr">23</xref>,<xref rid="b24-epih-40-e2018014" ref-type="bibr">24</xref>]. The asymptomatic case was quarantined at home for 2 weeks after discharge. The case had underlying diseases that included hypertension, angina, and degenerative arthritis. The case reported no fever, cough, myalgia, or gastrointestinal symptoms during hospitalization or quarantine (<xref rid="t2-epih-40-e2018014" ref-type="table">Table 2</xref>).</p></sec><sec sec-type="discussion"><title>DISCUSSION</title><p>Limited information exists regarding MERS-CoV seroprevalence among populations other than confirmed MERS cases. Saudi Arabian data showed that the seroprevalence of MERS-CoV IgG among the general population was 0.15% [<xref rid="b25-epih-40-e2018014" ref-type="bibr">25</xref>], suggesting that a number of cases of asymptomatic or mild infections may be present in the general population.</p><p>Despite a high prevalence of 186 confirmed MERS cases during the outbreak of MERS in Korea, the rate of asymptomatic infection (1.60%) [<xref rid="b15-epih-40-e2018014" ref-type="bibr">15</xref>] was lower than expected. The rates of asymptomatic infection confirmed using IFA and PRNT in the present study were 0.06% (1 of 1,610) for all contacts and 0.17% (1 of 574) for patients. These results are markedly lower than the rates of 0.27% (2 of 737) among healthcare workers, and 0.44% (2 of 457) among healthcare workers at MERS-affected hospitals in Korea [<xref rid="b16-epih-40-e2018014" ref-type="bibr">16</xref>]. Moreover, the rate of asymptomatic or mild infection in Saudi Arabia, the United Arab Emirates, and the Islamic Republic of Iran was approximately 28.00% [<xref rid="b12-epih-40-e2018014" ref-type="bibr">12</xref>,<xref rid="b13-epih-40-e2018014" ref-type="bibr">13</xref>,<xref rid="b18-epih-40-e2018014" ref-type="bibr">18</xref>].</p><p>The confirmed asymptomatic case presented in this study was a patient at the same hospital as confirmed MERS cases and, unlike in previous studies, was neither an intra-familial infection nor a pediatric infection [<xref rid="b26-epih-40-e2018014" ref-type="bibr">26</xref>,<xref rid="b27-epih-40-e2018014" ref-type="bibr">27</xref>]. The low rate of asymptomatic infection in Korea is attributable to the different transmission pathway of MERS infections compared to the Middle East. In Korea, most of the MERS cases were healthcare-associated infections, and none were from an animal. The low asymptomatic infection rate is also attributable to the extensive epidemiological investigation conducted in Korea, including close monitoring of contacts with MERS patients; this helped identify almost all MERS patients. This may also have been attributable to the promotion of proactive identification of patients via mass media and the establishment of communication networks by the government, leading to voluntary reports by people, active quarantine, and countermeasures to this public health crisis [<xref rid="b10-epih-40-e2018014" ref-type="bibr">10</xref>,<xref rid="b28-epih-40-e2018014" ref-type="bibr">28</xref>,<xref rid="b29-epih-40-e2018014" ref-type="bibr">29</xref>].</p><p>ELISA is appropriate as a screening tool, as it is 10-fold more sensitive than IFA. However, it may cross-react with seasonal human coronavirus antibodies, so a spike protein-specific IFA is required for confirmation. PRNT is a definitive test when ELISA and IFA have inconclusive results [<xref rid="b25-epih-40-e2018014" ref-type="bibr">25</xref>]. Only 10% of ELISA-positive results are positive on a neutralization assay [<xref rid="b25-epih-40-e2018014" ref-type="bibr">25</xref>]. In our study, 1 of 7 patients with borderline or positive ELISA results also had positive results in PRNT. Therefore, the results obtained in our study are accurate because ELISA, IFA, and PRNT were used.</p><p>A previous study predicted the pandemic potential of MERS-CoV to be ≤ 5%; however, this does not indicate that the risk has abated [<xref rid="b30-epih-40-e2018014" ref-type="bibr">30</xref>]. Prerequisites for reducing the risk include improved surveillance, active contact tracing, and the initiation of animal host searching [<xref rid="b30-epih-40-e2018014" ref-type="bibr">30</xref>,<xref rid="b31-epih-40-e2018014" ref-type="bibr">31</xref>]. During the outbreak in Korea, MERS was classified as a notifiable infectious disease and was subjected to surveillance [<xref rid="b32-epih-40-e2018014" ref-type="bibr">32</xref>]. Since MERS is an imported disease in Korea, it is recommended that precautions be taken before travel and that the time of returning from travel and incubation period be considered.</p><p>This study showed a low seropositivity in the population of individuals quarantined due to contact with MERS cases. However, there is a possibility that the seropositivity rate was underestimated for the following reasons. Firstly, the participants of the present study were mostly non-healthcare workers and were relatively healthy. Thus, the risk of infection was low. Secondly, the overall participation rate was 48.9%, whereas it was 36.8% in the patient group at a higher risk of infection. Moreover, we only surveyed 10.9% of the quarantined individuals. Therefore, the actual rate of asymptomatic infections may be higher than reported in the present study. Lastly, the present study may have been conducted too late. In a previous study, MERS-CoV ELISA results indicated that the antibody response was highest after 3 weeks from symptom onset [<xref rid="b33-epih-40-e2018014" ref-type="bibr">33</xref>]. Although no reports have analyzed the duration of antibody presence in MERS patients regardless of symptoms, a recent study of severe acute respiratory syndrome and MERS reported that antibodies in some patients persisted for up to 2-3 years after infection [<xref rid="b34-epih-40-e2018014" ref-type="bibr">34</xref>,<xref rid="b35-epih-40-e2018014" ref-type="bibr">35</xref>]. Blood sampling for serologic test in this study was performed on contacts between October and December 2015, while exposure to the confirmed case occurred between May and June 2015 (a gap of 5 months). Thus, a loss of the MERS-CoV antibody titer could have taken place despite actual asymptomatic infections; therefore, the actual rate of asymptomatic infection may be higher than the rate presented in this report.</p><p>In conclusion, among 1,610 contacts, only 1 non-healthcare worker who was a patient in a MERS-affected hospital had an asymptomatic MERS-CoV infection. To understand new emerging infectious diseases such as MERS, more intensive epidemiologic research is needed, including an analysis of asymptomatic infections.</p></sec></body><back><ack><p>The authors would like to thank Hee-Dong Jung and Jeong-Gu Nam (Korea Centers for Disease Control and Prevention) for laboratory assistance and technical support in production of the manuscript. 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person-group-type="author"><name><surname>Cao</surname><given-names>WC</given-names></name><name><surname>Liu</surname><given-names>W</given-names></name><name><surname>Zhang</surname><given-names>PH</given-names></name><name><surname>Zhang</surname><given-names>F</given-names></name><name><surname>Richardus</surname><given-names>JH</given-names></name></person-group><article-title>Disappearance of antibodies to SARS-associated coronavirus after recovery</article-title><source>N Engl J Med</source><year>2007</year><volume>357</volume><fpage>1162</fpage><lpage>1163</lpage><pub-id pub-id-type="pmid">17855683</pub-id></element-citation></ref></ref-list></back><floats-group><fig id="f1-epih-40-e2018014" orientation="portrait" position="float"><label>Figure 1.</label><caption><p>Flowchart of participants in the Middle East Respiratory Syndrome (MERS) serologic survey in Korea. <sup>1</sup> Major MERS outbreak areas including Seoul, Gyeonggi, Chungcheong, and Jeonbuk in Korea. <sup>2</sup> Selection rates were different by characteristics of exposed MERS case and status of subjects (see the Table 1).</p></caption><graphic xlink:href="epih-40-e2018014f1"></graphic></fig><table-wrap id="t1-epih-40-e2018014" orientation="portrait" position="float"><label>Table 1.</label><caption><p>Study subjects and seropositive participants by characteristics of the MERS case they were exposed to, and status of subjects upon MERS exposure in the 2015 Korean outbreak</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="center" valign="middle" rowspan="2" colspan="1"></th><th align="center" valign="middle" rowspan="2" colspan="1">Characteristics of exposed MERS case</th><th align="center" valign="middle" colspan="7" rowspan="1">Status of subjects when they were exposed to MERS<sup><xref rid="tfn1-epih-40-e2018014" ref-type="table-fn">1</xref></sup><hr></hr></th><th align="center" valign="middle" rowspan="2" colspan="1">Selection or response rate (%)<sup><xref rid="tfn2-epih-40-e2018014" ref-type="table-fn">2</xref></sup></th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1">Patient</th><th align="center" valign="middle" rowspan="1" colspan="1">Family</th><th align="center" valign="middle" rowspan="1" colspan="1">Visitor</th><th align="center" valign="middle" rowspan="1" colspan="1">Healthcare worker</th><th align="center" valign="middle" rowspan="1" colspan="1">Colleague</th><th align="center" valign="middle" rowspan="1" colspan="1">Unknown</th><th align="center" valign="middle" rowspan="1" colspan="1">Total</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="4" colspan="1">Quarantined subjects</td><td align="left" valign="top" rowspan="1" colspan="1">Spreaders with 5 or more cases</td><td align="center" valign="top" rowspan="1" colspan="1">1,141</td><td align="center" valign="top" rowspan="1" colspan="1">71</td><td align="center" valign="top" rowspan="1" colspan="1">417</td><td align="center" valign="top" rowspan="1" colspan="1">558</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1">657</td><td align="center" valign="top" rowspan="1" colspan="1">2,847</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Spreaders with 1 to 4 cases</td><td align="center" valign="top" rowspan="1" colspan="1">1,067</td><td align="center" valign="top" rowspan="1" colspan="1">64</td><td align="center" valign="top" rowspan="1" colspan="1">364</td><td align="center" valign="top" rowspan="1" colspan="1">198</td><td align="center" valign="top" rowspan="1" colspan="1">35</td><td align="center" valign="top" rowspan="1" colspan="1">375</td><td align="center" valign="top" rowspan="1" colspan="1">2,103</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Non-spreaders</td><td align="center" valign="top" rowspan="1" colspan="1">3,489</td><td align="center" valign="top" rowspan="1" colspan="1">321</td><td align="center" valign="top" rowspan="1" colspan="1">1,613</td><td align="center" valign="top" rowspan="1" colspan="1">1,260</td><td align="center" valign="top" rowspan="1" colspan="1">453</td><td align="center" valign="top" rowspan="1" colspan="1">2,745</td><td align="center" valign="top" rowspan="1" colspan="1">9,881</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="center" valign="top" rowspan="1" colspan="1">5,697</td><td align="center" valign="top" rowspan="1" colspan="1">456</td><td align="center" valign="top" rowspan="1" colspan="1">2,394</td><td align="center" valign="top" rowspan="1" colspan="1">2,016</td><td align="center" valign="top" rowspan="1" colspan="1">491</td><td align="center" valign="top" rowspan="1" colspan="1">3,777</td><td align="center" valign="top" rowspan="1" colspan="1">14,831</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="5" colspan="1">Selected subjects</td><td align="left" valign="top" rowspan="1" colspan="1">Spreaders with 5 or more cases</td><td align="center" valign="top" rowspan="1" colspan="1">744</td><td align="center" valign="top" rowspan="1" colspan="1">60</td><td align="center" valign="top" rowspan="1" colspan="1">254</td><td align="center" valign="top" rowspan="1" colspan="1">115</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1">212</td><td align="center" valign="top" rowspan="1" colspan="1">1,388</td><td align="center" valign="top" rowspan="1" colspan="1">48.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Spreaders with 1 to 4 cases</td><td align="center" valign="top" rowspan="1" colspan="1">191</td><td align="center" valign="top" rowspan="1" colspan="1">10</td><td align="center" valign="top" rowspan="1" colspan="1">105</td><td align="center" valign="top" rowspan="1" colspan="1">10</td><td align="center" valign="top" rowspan="1" colspan="1">0</td><td align="center" valign="top" rowspan="1" colspan="1">29</td><td align="center" valign="top" rowspan="1" colspan="1">345</td><td align="center" valign="top" rowspan="1" colspan="1">16.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Non-spreaders</td><td align="center" valign="top" rowspan="1" colspan="1">626</td><td align="center" valign="top" rowspan="1" colspan="1">101</td><td align="center" valign="top" rowspan="1" colspan="1">281</td><td align="center" valign="top" rowspan="1" colspan="1">184</td><td align="center" valign="top" rowspan="1" colspan="1">101</td><td align="center" valign="top" rowspan="1" colspan="1">265</td><td align="center" valign="top" rowspan="1" colspan="1">1,558</td><td align="center" valign="top" rowspan="1" colspan="1">15.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="center" valign="top" rowspan="1" colspan="1">1,561</td><td align="center" valign="top" rowspan="1" colspan="1">171</td><td align="center" valign="top" rowspan="1" colspan="1">640</td><td align="center" valign="top" rowspan="1" colspan="1">309</td><td align="center" valign="top" rowspan="1" colspan="1">104</td><td align="center" valign="top" rowspan="1" colspan="1">506</td><td align="center" valign="top" rowspan="1" colspan="1">3,291</td><td align="center" valign="top" rowspan="1" colspan="1">22.2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Selection rate (%)</td><td align="center" valign="top" rowspan="1" colspan="1">27.4</td><td align="center" valign="top" rowspan="1" colspan="1">37.5</td><td align="center" valign="top" rowspan="1" colspan="1">26.7</td><td align="center" valign="top" rowspan="1" colspan="1">15.3</td><td align="center" valign="top" rowspan="1" colspan="1">21.2</td><td align="center" valign="top" rowspan="1" colspan="1">13.4</td><td align="center" valign="top" rowspan="1" colspan="1">22.2</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="5" colspan="1">Study participants</td><td align="left" valign="top" rowspan="1" colspan="1">Spreaders with 5 or more cases</td><td align="center" valign="top" rowspan="1" colspan="1">252</td><td align="center" valign="top" rowspan="1" colspan="1">53</td><td align="center" valign="top" rowspan="1" colspan="1">152</td><td align="center" valign="top" rowspan="1" colspan="1">94</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">0</td><td align="center" valign="top" rowspan="1" colspan="1">552</td><td align="center" valign="top" rowspan="1" colspan="1">39.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Spreaders with 1 to 4 cases</td><td align="center" valign="top" rowspan="1" colspan="1">60</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">62</td><td align="center" valign="top" rowspan="1" colspan="1">12</td><td align="center" valign="top" rowspan="1" colspan="1">0</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">139</td><td align="center" valign="top" rowspan="1" colspan="1">40.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Non-spreaders</td><td align="center" valign="top" rowspan="1" colspan="1">262</td><td align="center" valign="top" rowspan="1" colspan="1">109</td><td align="center" valign="top" rowspan="1" colspan="1">271</td><td align="center" valign="top" rowspan="1" colspan="1">201</td><td align="center" valign="top" rowspan="1" colspan="1">50</td><td align="center" valign="top" rowspan="1" colspan="1">26</td><td align="center" valign="top" rowspan="1" colspan="1">919</td><td align="center" valign="top" rowspan="1" colspan="1">59.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="center" valign="top" rowspan="1" colspan="1">574</td><td align="center" valign="top" rowspan="1" colspan="1">166</td><td align="center" valign="top" rowspan="1" colspan="1">485</td><td align="center" valign="top" rowspan="1" colspan="1">307</td><td align="center" valign="top" rowspan="1" colspan="1">51</td><td align="center" valign="top" rowspan="1" colspan="1">27</td><td align="center" valign="top" rowspan="1" colspan="1">1,610</td><td align="center" valign="top" rowspan="1" colspan="1">48.9</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Response rate (%)</td><td align="center" valign="top" rowspan="1" colspan="1">36.8</td><td align="center" valign="top" rowspan="1" colspan="1">97.1</td><td align="center" valign="top" rowspan="1" colspan="1">75.8</td><td align="center" valign="top" rowspan="1" colspan="1">99.4</td><td align="center" valign="top" rowspan="1" colspan="1">49.0</td><td align="center" valign="top" rowspan="1" colspan="1">5.3</td><td align="center" valign="top" rowspan="1" colspan="1">48.9</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="5" colspan="1">Subjects with seropositive ELISA (IFA/PRNT)</td><td align="left" valign="top" rowspan="1" colspan="1">Spreaders with 5 or more cases</td><td align="center" valign="top" rowspan="1" colspan="1">2 (1)</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">1 (0)</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">3 (1)</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Spreaders with 1 to 4 cases</td><td align="center" valign="top" rowspan="1" colspan="1">1 (0)</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">1 (0)</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Non-spreaders</td><td align="center" valign="top" rowspan="1" colspan="1">3 (0)</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">3 (0)</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="center" valign="top" rowspan="1" colspan="1">6 (1)</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">1 (0)</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">7 (1)</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seropositive rate (%)</td><td align="center" valign="top" rowspan="1" colspan="1">1.05 (0.17)</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.33 (–)</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.43 (0.06)</td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr></tbody></table><table-wrap-foot><fn><p>MERS, Middle East Respiratory Syndrome; ELISA, enzyme-linked immunospecific assay; IFA, immunofluorescence assay; PRNT, plaque reduction neutralization antibody test.</p></fn><fn id="tfn1-epih-40-e2018014"><label>1</label><p>Inpatients or outpatients at a MERS-affected hospital, family of people living with or a paid caregiver of the MERS case, visitors of the hospitalized MERS case, healthcare workers employed at a MERS-affected hospital, and colleagues of co-workers of a MERS case.</p></fn><fn id="tfn2-epih-40-e2018014"><label>2</label><p>Selection rates varied by characteristics of the MERS case subjects were exposed to (i.e. transmission intensity) and the subjects’ status (i.e. exposure intensity).</p></fn></table-wrap-foot></table-wrap><table-wrap id="t2-epih-40-e2018014" orientation="portrait" position="float"><label>Table 2.</label><caption><p>Characteristics of MERS-seropositive subjects by ELISA, IFA, and PRNT in Korea, 2015</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" valign="middle" rowspan="2" colspan="1">Subject ID</th><th align="center" valign="middle" rowspan="2" colspan="1">Exposure date</th><th align="center" valign="middle" rowspan="2" colspan="1">Sampling date</th><th align="center" valign="middle" rowspan="2" colspan="1">Status at exposure</th><th align="center" valign="middle" rowspan="2" colspan="1">Exposed MERS case ID<sup><xref rid="tfn3-epih-40-e2018014" ref-type="table-fn">1</xref></sup></th><th align="center" valign="middle" rowspan="2" colspan="1">Underlying disease</th><th align="center" valign="middle" rowspan="2" colspan="1">Symptoms after exposure</th><th align="center" valign="middle" colspan="2" rowspan="1">ELISA<hr></hr></th><th align="center" valign="middle" rowspan="2" colspan="1">IFA</th><th align="center" valign="middle" rowspan="2" colspan="1">PRNT</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1">Ratio</th><th align="center" valign="middle" rowspan="1" colspan="1">Result</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">1</td><td align="left" valign="top" rowspan="1" colspan="1">May 15</td><td align="center" valign="top" rowspan="1" colspan="1">Nov 1</td><td align="left" valign="top" rowspan="1" colspan="1">Patient</td><td align="center" valign="top" rowspan="1" colspan="1">#1</td><td align="left" valign="top" rowspan="1" colspan="1">Angina</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="center" valign="top" rowspan="1" colspan="1">0.996</td><td align="left" valign="top" rowspan="1" colspan="1">Borderline</td><td align="left" valign="top" rowspan="1" colspan="1">Positive</td><td align="left" valign="top" rowspan="1" colspan="1">Positive</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">2</td><td align="left" valign="top" rowspan="1" colspan="1">May 16</td><td align="center" valign="top" rowspan="1" colspan="1">Nov 2</td><td align="left" valign="top" rowspan="1" colspan="1">Patient</td><td align="center" valign="top" rowspan="1" colspan="1">#1</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="center" valign="top" rowspan="1" colspan="1">2.078</td><td align="left" valign="top" rowspan="1" colspan="1">Positive</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">3</td><td align="left" valign="top" rowspan="1" colspan="1">May 15</td><td align="center" valign="top" rowspan="1" colspan="1">Nov 2</td><td align="left" valign="top" rowspan="1" colspan="1">Healthcare worker</td><td align="center" valign="top" rowspan="1" colspan="1">#1</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="left" valign="top" rowspan="1" colspan="1">Fatigue</td><td align="center" valign="top" rowspan="1" colspan="1">1.640</td><td align="left" valign="top" rowspan="1" colspan="1">Positive</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">4</td><td align="left" valign="top" rowspan="1" colspan="1">Jun 9</td><td align="center" valign="top" rowspan="1" colspan="1">Oct 31</td><td align="left" valign="top" rowspan="1" colspan="1">Patient</td><td align="center" valign="top" rowspan="1" colspan="1">#118</td><td align="left" valign="top" rowspan="1" colspan="1">Hypertension</td><td align="left" valign="top" rowspan="1" colspan="1">Blurred vision</td><td align="center" valign="top" rowspan="1" colspan="1">1.116</td><td align="left" valign="top" rowspan="1" colspan="1">Positive</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">5</td><td align="left" valign="top" rowspan="1" colspan="1">Jun 4</td><td align="center" valign="top" rowspan="1" colspan="1">Nov 8</td><td align="left" valign="top" rowspan="1" colspan="1">Patient</td><td align="center" valign="top" rowspan="1" colspan="1">#89</td><td align="left" valign="top" rowspan="1" colspan="1">Hypertensive heart disease</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="center" valign="top" rowspan="1" colspan="1">0.916</td><td align="left" valign="top" rowspan="1" colspan="1">Borderline</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">6</td><td align="left" valign="top" rowspan="1" colspan="1">Jun 5</td><td align="center" valign="top" rowspan="1" colspan="1">Nov 9</td><td align="left" valign="top" rowspan="1" colspan="1">Patient</td><td align="center" valign="top" rowspan="1" colspan="1">#89</td><td align="left" valign="top" rowspan="1" colspan="1">Lumbar spinal Fatigue stenosis</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">1.724</td><td align="left" valign="top" rowspan="1" colspan="1">Positive</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">7</td><td align="left" valign="top" rowspan="1" colspan="1">Jun 11</td><td align="center" valign="top" rowspan="1" colspan="1">Nov 8</td><td align="left" valign="top" rowspan="1" colspan="1">Patient</td><td align="center" valign="top" rowspan="1" colspan="1">#89</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="left" valign="top" rowspan="1" colspan="1">Fatigue and</td><td align="center" valign="top" rowspan="1" colspan="1">0.985</td><td align="left" valign="top" rowspan="1" colspan="1">Borderline</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td><td align="left" valign="top" rowspan="1" colspan="1">Negative</td></tr></tbody></table><table-wrap-foot><fn><p>MERS, Middle East Respiratory Syndrome; ELISA, enzyme-linked immunospecific assay; IFA, immunofluorescence assay; PRNT, plaque reduction neutralization antibody test.</p></fn><fn id="tfn3-epih-40-e2018014"><label>1</label><p>Patient zero (#1) infected 28 cases (super-spreading event transmitting 5 or more cases), case #118 infected 2 cases, and case #89 did not transmit MERS to anyone during the 2015 Korean MERS outbreak.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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