Transmission potential and severity of COVID-19 in South Korea.
Identifieur interne : 000201 ( PubMed/Corpus ); précédent : 000200; suivant : 000202Transmission potential and severity of COVID-19 in South Korea.
Auteurs : Eunha Shim ; Amna Tariq ; Wongyeong Choi ; Yiseul Lee ; Gerardo ChowellSource :
- International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [ 1878-3511 ] ; 2020.
Abstract
Since the first case of 2019 novel coronavirus (COVID-19) identified on Jan 20, 2020 in South Korea, the number of cases rapidly increased, resulting in 6,284 cases including 42 deaths as of March 6, 2020. To examine the growth rate of the outbreak, we aimed to present the first study to report the reproduction number of COVID-19 in South Korea.
DOI: 10.1016/j.ijid.2020.03.031
PubMed: 32198088
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<author><name sortKey="Shim, Eunha" sort="Shim, Eunha" uniqKey="Shim E" first="Eunha" last="Shim">Eunha Shim</name>
<affiliation><nlm:affiliation>Department of Mathematics, Soongsil University, 369 Sangdoro, Dongjak-Gu, Seoul, 06978 Republic of Korea. Electronic address: alicia@ssu.ac.kr.</nlm:affiliation>
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<author><name sortKey="Tariq, Amna" sort="Tariq, Amna" uniqKey="Tariq A" first="Amna" last="Tariq">Amna Tariq</name>
<affiliation><nlm:affiliation>Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA. Electronic address: atariq1@student.gsu.edu.</nlm:affiliation>
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<author><name sortKey="Choi, Wongyeong" sort="Choi, Wongyeong" uniqKey="Choi W" first="Wongyeong" last="Choi">Wongyeong Choi</name>
<affiliation><nlm:affiliation>Department of Mathematics, Soongsil University, 369 Sangdoro, Dongjak-Gu, Seoul, 06978 Republic of Korea. Electronic address: chok10004@soongsil.ac.kr.</nlm:affiliation>
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<author><name sortKey="Lee, Yiseul" sort="Lee, Yiseul" uniqKey="Lee Y" first="Yiseul" last="Lee">Yiseul Lee</name>
<affiliation><nlm:affiliation>Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA. Electronic address: ylee97@student.gsu.edu.</nlm:affiliation>
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<author><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name>
<affiliation><nlm:affiliation>Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA. Electronic address: gchowell@gsu.edu.</nlm:affiliation>
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<front><div type="abstract" xml:lang="en">Since the first case of 2019 novel coronavirus (COVID-19) identified on Jan 20, 2020 in South Korea, the number of cases rapidly increased, resulting in 6,284 cases including 42 deaths as of March 6, 2020. To examine the growth rate of the outbreak, we aimed to present the first study to report the reproduction number of COVID-19 in South Korea.</div>
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<DateRevised><Year>2020</Year>
<Month>03</Month>
<Day>21</Day>
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<Title>International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</Title>
<ISOAbbreviation>Int. J. Infect. Dis.</ISOAbbreviation>
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<ArticleTitle>Transmission potential and severity of COVID-19 in South Korea.</ArticleTitle>
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<Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">Since the first case of 2019 novel coronavirus (COVID-19) identified on Jan 20, 2020 in South Korea, the number of cases rapidly increased, resulting in 6,284 cases including 42 deaths as of March 6, 2020. To examine the growth rate of the outbreak, we aimed to present the first study to report the reproduction number of COVID-19 in South Korea.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">The daily confirmed cases of COVID-19 in South Korea were extracted from publicly available sources. By using the empirical reporting delay distribution and simulating the generalized growth model, we estimated the effective reproduction number based on the discretized probability distribution of the generation interval.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">We identified four major clusters and estimated the reproduction number at 1.5 (95% CI: 1.4-1.6). In addition, the intrinsic growth rate was estimated at 0.6 (95% CI: 0.6, 0.7) and the scaling of growth parameter was estimated at 0.8 (95% CI: 0.7, 0.8), indicating sub-exponential growth dynamics of COVID-19. The crude case fatality rate is higher among males (1.1%) compared to females (0.4%) and increases with older age.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Our results indicate early sustained transmission of COVID-19 in South Korea and support the implementation of social distancing measures to rapidly control the outbreak.</AbstractText>
<CopyrightInformation>Copyright © 2020. Published by Elsevier Ltd.</CopyrightInformation>
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<ForeName>Eunha</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Department of Mathematics, Soongsil University, 369 Sangdoro, Dongjak-Gu, Seoul, 06978 Republic of Korea. Electronic address: alicia@ssu.ac.kr.</Affiliation>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">Korea</Keyword>
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