Cited 39 times in
Nationwide Results of COVID-19 Contact Tracing in South Korea: Individual Participant Data From an Epidemiological Survey
DC Field | Value | Language |
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dc.contributor.author | 오동환 | - |
dc.date.accessioned | 2022-09-02T01:10:39Z | - |
dc.date.available | 2022-09-02T01:10:39Z | - |
dc.date.issued | 2020-08 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/190033 | - |
dc.description.abstract | Background: Evidence regarding the effectiveness of contact tracing of COVID-19 and the related social distancing is limited and inconclusive. Objective: This study aims to investigate the epidemiological characteristics of SARS-CoV-2 transmission in South Korea and evaluate whether a social distancing campaign is effective in mitigating the spread of COVID-19. Methods: We used contract tracing data to investigate the epidemic characteristics of SARS-CoV-2 transmission in South Korea and evaluate whether a social distancing campaign was effective in mitigating the spread of COVID-19. We calculated the mortality rate for COVID-19 by infection type (cluster vs noncluster) and tested whether new confirmed COVID-19 trends changed after a social distancing campaign. Results: There were 2537 patients with confirmed COVID-19 who completed the epidemiologic survey: 1305 (51.4%) cluster cases and 1232 (48.6%) noncluster cases. The mortality rate was significantly higher in cluster cases linked to medical facilities (11/143, 7.70% vs 5/1232, 0.41%; adjusted percentage difference 7.99%; 95% CI 5.83 to 10.14) and long-term care facilities (19/221, 8.60% vs 5/1232, 0.41%; adjusted percentage difference 7.56%; 95% CI 5.66 to 9.47) than in noncluster cases. The change in trends of newly confirmed COVID-19 cases before and after the social distancing campaign was significantly negative in the entire cohort (adjusted trend difference -2.28; 95% CI -3.88 to -0.68) and the cluster infection group (adjusted trend difference -0.96; 95% CI -1.83 to -0.09). Conclusions: In a nationwide contact tracing study in South Korea, COVID-19 linked to medical and long-term care facilities significantly increased the risk of mortality compared to noncluster COVID-19. A social distancing campaign decreased the spread of COVID-19 in South Korea and differentially affected cluster infections of SARS-CoV-2. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | JMIR Publications | - |
dc.relation.isPartOf | JMIR MEDICAL INFORMATICS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Nationwide Results of COVID-19 Contact Tracing in South Korea: Individual Participant Data From an Epidemiological Survey | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | Seung Won Lee | - |
dc.contributor.googleauthor | Woon Tak Yuh | - |
dc.contributor.googleauthor | Jee Myung Yang | - |
dc.contributor.googleauthor | Yoon-Sik Cho | - |
dc.contributor.googleauthor | In Kyung Yoo | - |
dc.contributor.googleauthor | Hyun Yong Koh | - |
dc.contributor.googleauthor | Dominic Marshall | - |
dc.contributor.googleauthor | Donghwan Oh | - |
dc.contributor.googleauthor | Eun Kyo Ha | - |
dc.contributor.googleauthor | Man Yong Han | - |
dc.contributor.googleauthor | Dong Keon Yon | - |
dc.identifier.doi | 10.2196/20992 | - |
dc.contributor.localId | A06306 | - |
dc.relation.journalcode | J03664 | - |
dc.identifier.eissn | 2291-9694 | - |
dc.identifier.pmid | 32784189 | - |
dc.subject.keyword | COVID-19 | - |
dc.subject.keyword | contact tracing | - |
dc.subject.keyword | coronavirus | - |
dc.subject.keyword | South Korea | - |
dc.subject.keyword | survey | - |
dc.subject.keyword | health data | - |
dc.subject.keyword | epidemiology | - |
dc.subject.keyword | transmission | - |
dc.contributor.alternativeName | Oh, Donghwan | - |
dc.contributor.affiliatedAuthor | 오동환 | - |
dc.citation.volume | 8 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | e20992 | - |
dc.identifier.bibliographicCitation | JMIR MEDICAL INFORMATICS, Vol.8(8) : e20992, 2020-08 | - |
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