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Application of Testing-Tracing-Treatment Strategy in Response to the COVID-19 Outbreak in Seoul, Korea

BACKGROUND: Following the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China, a total of 637 patients had been diagnosed with the disease in Seoul as of May 2, 2020. Our study aimed to describe the impact of the 3T strategies (preemptive testing, prompt tracing and proper treatment) on the...

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Autores principales: Park, Yoojin, Huh, In Sil, Lee, Jaekyung, Kang, Cho Ryok, Cho, Sung-il, Ham, Hyon Jeen, Kim, Hea Sook, Kim, Jung-il, Na, Baeg Ju, Lee, Jin Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683243/
https://www.ncbi.nlm.nih.gov/pubmed/33230987
http://dx.doi.org/10.3346/jkms.2020.35.e396
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author Park, Yoojin
Huh, In Sil
Lee, Jaekyung
Kang, Cho Ryok
Cho, Sung-il
Ham, Hyon Jeen
Kim, Hea Sook
Kim, Jung-il
Na, Baeg Ju
Lee, Jin Yong
author_facet Park, Yoojin
Huh, In Sil
Lee, Jaekyung
Kang, Cho Ryok
Cho, Sung-il
Ham, Hyon Jeen
Kim, Hea Sook
Kim, Jung-il
Na, Baeg Ju
Lee, Jin Yong
author_sort Park, Yoojin
collection PubMed
description BACKGROUND: Following the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China, a total of 637 patients had been diagnosed with the disease in Seoul as of May 2, 2020. Our study aimed to describe the impact of the 3T strategies (preemptive testing, prompt tracing and proper treatment) on the epidemiological characteristics of COVID-19 in Seoul. METHODS: The descriptive and explanatory analysis was carried out on critical indicators such as epidemiological characteristics and key duration of patient status change from January 24 to May 2 in Seoul before and after preemptive testing for patients under investigation associated with COVID-19 clusters. RESULTS: Preemptive testing increased the positive test rate (3.9% to 4.2%), an asymptomatic case at diagnosis (16.9% to 30.6%), and reduced the time from symptom onset to quarantine (4.0 to 3.0 days). Prompt tracing decreased unknown sources of infection (6.9% to 2.8%), the mean number of contacts (32.2 to 23.6), and the time-varying reproduction number R(t) (1.3 to 0.6). With proper treatment, only 2 cases of mortality occurred, resulting in a fatality rate of just 0.3%. CONCLUSION: In the first wave of the COVID-19 pandemic lasting 100 days, the effect of the 3T strategies flattened the curve and decreased the time during which infected individuals were contagious, thereby lowering the R(t) below 1 in Seoul.
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spelling pubmed-76832432020-11-30 Application of Testing-Tracing-Treatment Strategy in Response to the COVID-19 Outbreak in Seoul, Korea Park, Yoojin Huh, In Sil Lee, Jaekyung Kang, Cho Ryok Cho, Sung-il Ham, Hyon Jeen Kim, Hea Sook Kim, Jung-il Na, Baeg Ju Lee, Jin Yong J Korean Med Sci Original Article BACKGROUND: Following the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China, a total of 637 patients had been diagnosed with the disease in Seoul as of May 2, 2020. Our study aimed to describe the impact of the 3T strategies (preemptive testing, prompt tracing and proper treatment) on the epidemiological characteristics of COVID-19 in Seoul. METHODS: The descriptive and explanatory analysis was carried out on critical indicators such as epidemiological characteristics and key duration of patient status change from January 24 to May 2 in Seoul before and after preemptive testing for patients under investigation associated with COVID-19 clusters. RESULTS: Preemptive testing increased the positive test rate (3.9% to 4.2%), an asymptomatic case at diagnosis (16.9% to 30.6%), and reduced the time from symptom onset to quarantine (4.0 to 3.0 days). Prompt tracing decreased unknown sources of infection (6.9% to 2.8%), the mean number of contacts (32.2 to 23.6), and the time-varying reproduction number R(t) (1.3 to 0.6). With proper treatment, only 2 cases of mortality occurred, resulting in a fatality rate of just 0.3%. CONCLUSION: In the first wave of the COVID-19 pandemic lasting 100 days, the effect of the 3T strategies flattened the curve and decreased the time during which infected individuals were contagious, thereby lowering the R(t) below 1 in Seoul. The Korean Academy of Medical Sciences 2020-11-06 /pmc/articles/PMC7683243/ /pubmed/33230987 http://dx.doi.org/10.3346/jkms.2020.35.e396 Text en © 2020 The Korean Academy of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Park, Yoojin
Huh, In Sil
Lee, Jaekyung
Kang, Cho Ryok
Cho, Sung-il
Ham, Hyon Jeen
Kim, Hea Sook
Kim, Jung-il
Na, Baeg Ju
Lee, Jin Yong
Application of Testing-Tracing-Treatment Strategy in Response to the COVID-19 Outbreak in Seoul, Korea
title Application of Testing-Tracing-Treatment Strategy in Response to the COVID-19 Outbreak in Seoul, Korea
title_full Application of Testing-Tracing-Treatment Strategy in Response to the COVID-19 Outbreak in Seoul, Korea
title_fullStr Application of Testing-Tracing-Treatment Strategy in Response to the COVID-19 Outbreak in Seoul, Korea
title_full_unstemmed Application of Testing-Tracing-Treatment Strategy in Response to the COVID-19 Outbreak in Seoul, Korea
title_short Application of Testing-Tracing-Treatment Strategy in Response to the COVID-19 Outbreak in Seoul, Korea
title_sort application of testing-tracing-treatment strategy in response to the covid-19 outbreak in seoul, korea
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683243/
https://www.ncbi.nlm.nih.gov/pubmed/33230987
http://dx.doi.org/10.3346/jkms.2020.35.e396
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