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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.
  • Park Y; Seoul Center for Infectious Disease Control and Prevention, Seoul, Korea.
  • Huh IS; Seoul Center for Infectious Disease Control and Prevention, Seoul, Korea.
  • Lee J; Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.
  • Kang CR; Disease Control & Prevention Division, Seoul Metropolitan Government, Seoul, Korea.
  • Cho SI; Graduate School of Public Health, Seoul National University, Seoul, Korea.
  • Ham HJ; Disease Control & Prevention Division, Seoul Metropolitan Government, Seoul, Korea.
  • Kim HS; Disease Control & Prevention Division, Seoul Metropolitan Government, Seoul, Korea.
  • Kim JI; Disease Control & Prevention Division, Seoul Metropolitan Government, Seoul, Korea.
  • Na BJ; Department of Urban Public Health, University of Seoul, Seoul, Korea. baegju.na@gmail.com.
  • Lee JY; HIRA Research Institute, Health Insurance Review & Assessment Service, Wonju, Korea.
J Korean Med Sci ; 35(45): e396, 2020 Nov 23.
Article in English | MEDLINE | ID: covidwho-940698
ABSTRACT

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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Strategic Planning / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study Topics: Variants Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Korean Med Sci Journal subject: Medicine Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Strategic Planning / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study Topics: Variants Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Korean Med Sci Journal subject: Medicine Year: 2020 Document Type: Article