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1.
Epidemiol Health ; 42: e2020047, 2020.
Article in English | MEDLINE | ID: covidwho-2272774

ABSTRACT

OBJECTIVES: To estimate time-variant reproductive number (Rt) of coronavirus disease 19 based on either number of daily confirmed cases or their onset date to monitor effectiveness of quarantine policies. METHODS: Using number of daily confirmed cases from January 23, 2020 to March 22, 2020 and their symptom onset date from the official website of the Seoul Metropolitan Government and the district office, we calculated Rt using program R's package "EpiEstim". For asymptomatic cases, their symptom onset date was considered as -2, -1, 0, +1, and +2 days of confirmed date. RESULTS: Based on the information of 313 confirmed cases, the epidemic curve was shaped like 'propagated epidemic curve'. The daily Rt based on Rt_c peaked to 2.6 on February 20, 2020, then showed decreased trend and became <1.0 from March 3, 2020. Comparing both Rt from Rt_c and from the number of daily onset cases, we found that the pattern of changes was similar, although the variation of Rt was greater when using Rt_c. When we changed assumed onset date for asymptotic cases (-2 days to +2 days of the confirmed date), the results were comparable. CONCLUSIONS: Rt can be estimated based on Rt_c which is available from daily report of the Korea Centers for Disease Control and Prevention. Estimation of Rt would be useful to continuously monitor the effectiveness of the quarantine policy at the city and province levels.


Subject(s)
Basic Reproduction Number/statistics & numerical data , Coronavirus Infections/epidemiology , Epidemics , Pneumonia, Viral/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19 , Child , Coronavirus Infections/prevention & control , Female , Humans , Male , Middle Aged , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Public Policy , Quarantine , Seoul/epidemiology , Time Factors , Young Adult
2.
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.


Subject(s)
COVID-19/diagnosis , Strategic Planning , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19/therapy , COVID-19/virology , Child , Child, Preschool , Contact Tracing , Disease Outbreaks , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Republic of Korea/epidemiology , SARS-CoV-2/genetics , SARS-CoV-2/isolation & purification , Time-to-Treatment , Young Adult
3.
Emerg Infect Dis ; 26(10): 2499-2501, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-635163

ABSTRACT

At least 246 cases of coronavirus disease (COVID-19) have been linked to nightclubs in Seoul, South Korea. During the April 30-May 5 holiday, young adults from across the country who visited nightclubs in Seoul contracted COVID-19 and spread it nationally. Nightclubs were temporarily closed to limit COVID-19 spread.


Subject(s)
Contact Tracing/methods , Coronavirus Infections/epidemiology , Coronavirus Infections/transmission , Pneumonia, Viral/epidemiology , Pneumonia, Viral/transmission , Betacoronavirus , COVID-19 , Coronavirus Infections/diagnosis , Female , Humans , Incidence , Leisure Activities , Male , Pandemics , Pneumonia, Viral/diagnosis , Prevalence , Republic of Korea/epidemiology , SARS-CoV-2 , Young Adult
5.
Emerg Infect Dis ; 26(8): 1666-1670, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-120058

ABSTRACT

We describe the epidemiology of a coronavirus disease (COVID-19) outbreak in a call center in South Korea. We obtained information on demographic characteristics by using standardized epidemiologic investigation forms. We performed descriptive analyses and reported the results as frequencies and proportions for categoric variables. Of 1,143 persons who were tested for COVID-19, a total of 97 (8.5%, 95% CI 7.0%-10.3%) had confirmed cases. Of these, 94 were working in an 11th-floor call center with 216 employees, translating to an attack rate of 43.5% (95% CI 36.9%-50.4%). The household secondary attack rate among symptomatic case-patients was 16.2% (95% CI 11.6%- 22.0%). Of the 97 persons with confirmed COVID-19, only 4 (1.9%) remained asymptomatic within 14 days of quarantine, and none of their household contacts acquired secondary infections. Extensive contact tracing, testing all contacts, and early quarantine blocked further transmission and might be effective for containing rapid outbreaks in crowded work settings.


Subject(s)
Betacoronavirus/pathogenicity , Coronavirus Infections/epidemiology , Coronavirus Infections/transmission , Disease Outbreaks , Pneumonia, Viral/epidemiology , Pneumonia, Viral/transmission , Betacoronavirus/genetics , COVID-19 , COVID-19 Testing , Call Centers , Clinical Laboratory Techniques/methods , Contact Tracing/statistics & numerical data , Coronavirus Infections/diagnosis , Family Characteristics , Female , Humans , Incidence , Male , Pandemics , Pneumonia, Viral/diagnosis , Quarantine/methods , Republic of Korea/epidemiology , Reverse Transcriptase Polymerase Chain Reaction , SARS-CoV-2 , Severity of Illness Index
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