Contact Tracing during Coronavirus Disease Outbreak, South Korea, 2020

Authored by wwwnc.cdc.gov and submitted by MistWeaver80

Effective contact tracing is critical to controlling the spread of coronavirus disease (COVID-19) (1). South Korea adopted a rigorous contact-tracing program comprising traditional shoe-leather epidemiology and new methods to track contacts by linking large databases (global positioning system, credit card transactions, and closed-circuit television). We describe a nationwide COVID-19 contact tracing program in South Korea to guide evidence-based policy to mitigate the pandemic (2).

We monitored 59,073 contacts of 5,706 COVID-19 index patients for an average of 9.9 (range 8.2–12.5) days after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was detected ( Table 1 ). Of 10,592 household contacts, index patients of 3,417 (32.3%) were 20–29 years of age, followed by those 50–59 (19.3%) and 40–49 (16.5%) years of age ( Table 2 ). A total of 11.8% (95% CI 11.2%–12.4%) household contacts of index patients had COVID-19; in households with an index patient 10–19 years of age, 18.6% (95% CI 14.0%–24.0%) of contacts had COVID-19. For 48,481 nonhousehold contacts, the detection rate was 1.9% (95% CI 1.8%–2.0%) ( Table 2 ). With index patients 30–39 years of age as reference, detection of COVID-19 contacts was significantly higher for index patients >40 years of age in nonhousehold settings. For most age groups, COVID-19 was detected in significantly more household than nonhousehold contacts ( Table 2 ).

We grouped index patients by age: 0–9, 10–19, 20–29, 30–39, 40–49, 50–59, 60–69, 70–79, and >80 years. Because we could not determine direction of transmission, we calculated the proportion of detected cases by the equation [number of detected cases/number of contacts traced] × 100, excluding the index patient; we also calculated 95% CIs. We compared the difference in detected cases between household and nonhousehold contacts across the stratified age groups.

We defined an index case as the first identified laboratory-confirmed case or the first documented case in an epidemiologic investigation within a cluster. Contacts in high-risk groups (household contacts of COVID-19 patients, healthcare personnel) were routinely tested; in non–high-risk groups, only symptomatic persons were tested. Non–high-risk asymptomatic contacts had to self-quarantine for 14 days and were placed under twice-daily active surveillance by public health workers. We defined a household contact as a person who lived in the household of a COVID-19 patient and a nonhousehold contact as a person who did not reside in the same household as a confirmed COVID-19 patient. All index patients were eligible for inclusion in this analysis if we identified >1 contact. We defined a detected case as a contact with symptom onset after that of a confirmed COVID-19 index patient.

South Korea’s public health system comprises a national-level governance (Korea Centers for Disease Control and Prevention), 17 regional governments, and 254 local public health centers. The first case of COVID-19 was identified on January 20, 2020; by May 13, a total of 10,962 cases had been reported. All reported COVID-19 patients were tested using reverse transcription PCR, and case information was sent to Korea Centers for Disease Control and Prevention.

We detected COVID-19 in 11.8% of household contacts; rates were higher for contacts of children than adults. These risks largely reflected transmission in the middle of mitigation and therefore might characterize transmission dynamics during school closure (3). Higher household than nonhousehold detection might partly reflect transmission during social distancing, when family members largely stayed home except to perform essential tasks, possibly creating spread within the household. Clarifying the dynamics of SARS-CoV-2 transmission will help in determining control strategies at the individual and population levels. Studies have increasingly examined transmission within households. Earlier studies on the infection rate for symptomatic household contacts in the United States reported 10.5% (95% CI 2.9%–31.4%), significantly higher than for nonhousehold contacts (4). Recent reports on COVID-19 transmission have estimated higher secondary attack rates among household than nonhousehold contacts. Compiled reports from China, France, and Hong Kong estimated the secondary attack rates for close contacts to be 35% (95% CI 27%–44%) (5). The difference in attack rates for household contacts in different parts of the world may reflect variation in households and country-specific strategies on COVID-19 containment and mitigation. Given the high infection rate within families, personal protective measures should be used at home to reduce the risk for transmission (6). If feasible, cohort isolation outside of hospitals, such as in a Community Treatment Center, might be a viable option for managing household transmission (7).

We also found the highest COVID-19 rate (18.6% [95% CI 14.0%–24.0%]) for household contacts of school-aged children and the lowest (5.3% [95% CI 1.3%–13.7%]) for household contacts of children 0–9 years in the middle of school closure. Despite closure of their schools, these children might have interacted with each other, although we do not have data to support that hypothesis. A contact survey in Wuhan and Shanghai, China, showed that school closure and social distancing significantly reduced the rate of COVID-19 among contacts of school-aged children (8). In the case of seasonal influenza epidemics, the highest secondary attack rate occurs among young children (9). Children who attend day care or school also are at high risk for transmitting respiratory viruses to household members (10). The low detection rate for household contacts of preschool-aged children in South Korea might be attributable to social distancing during these periods. Yet, a recent report from Shenzhen, China, showed that the proportion of infected children increased during the outbreak from 2% to 13%, suggesting the importance of school closure (11). Further evidence, including serologic studies, is needed to evaluate the public health benefit of school closure as part of mitigation strategies.

Our observation has several limitations. First, the number of cases might have been underestimated because all asymptomatic patients might not have been identified. In addition, detected cases could have resulted from exposure outside the household. Second, given the different thresholds for testing policy between households and nonhousehold contacts, we cannot assess the true difference in transmissibility between households and nonhouseholds. Comparing symptomatic COVID-19 patients of both groups would be more accurate. Despite these limitations, the sample size was large and representative of most COVID-19 patients early during the outbreak in South Korea. Our large-scale investigation showed that pattern of transmission was similar to those of other respiratory viruses (12). Although the detection rate for contacts of preschool-aged children was lower, young children may show higher attack rates when the school closure ends, contributing to community transmission of COVID-19.

The role of household transmission of SARS-CoV-2 amid reopening of schools and loosening of social distancing underscores the need for a time-sensitive epidemiologic study to guide public health policy. Contact tracing is especially important in light of upcoming future SARS-CoV-2 waves, for which social distancing and personal hygiene will remain the most viable options for prevention. Understanding the role of hygiene and infection control measures is critical to reducing household spread, and the role of masking within the home, especially if any family members are at high risk, needs to be studied.

We showed that household transmission of SARS-CoV-2 was high if the index patient was 10–19 years of age. In the current mitigation strategy that includes physical distancing, optimizing the likelihood of reducing individual, family, and community disease is important. Implementation of public health recommendations, including hand and respiratory hygiene, should be encouraged to reduce transmission of SARS-CoV-2 within affected households.

thegeeseisleese on July 19th, 2020 at 15:58 UTC »

If I understand correctly, Sweden didn't lock down at all, right? Has there been a recorded spread through children attending school there? Or have they done any studies on children spreading?

Edit: Found a source at Reuters saying that Sweden found no uptick in infected children when compared to Finland (which closed its schools), but it doesn't say anything about them being carriers for it similar to this. I'd like to see them conduct a similar study in Sweden

https://mobile.reuters.com/article/amp/idUSKCN24G2IS#aoh=15951745950955&amp_ct=1595174632954&referrer=https%3A%2F%2Fwww.google.com&amp_tf=From%20%251%24s

torustorus on July 19th, 2020 at 14:15 UTC »

Here are my issues:

We are led to believe that children are just as susceptible and spread covid just as much as anyone else, yet kids 0-19 make up only 2.7% of index cases in this study. This is a value far far below the demographic representation of that age group in the general population, which immediately contradicts the way it is presented. Further, an April 2020 study published at NIH, examining the first 7,755 total cases confirmed in Korea (as of March 12th), had a higher positive test rate for 0-19 (both groups. In fact, comparing the overall positives we can tell that index children made up much less than 50% of total children cases while 20-29 age range was probably closer to half (there's a mismatch on the data set dates). This study actually reinforces the ideas that kids don't get sick very often (super low proportional sample).

Second, 20-29 by far makes up the highest portion of index cases, outstripping their demographic slice in the opposite way as the groups below them. However, this study finds this group has the lowest transmission rate. There is no explicit consideration of this conflict, given 20-29 year olds are most likely to socialize and/or live with people of a similar age. (There are other factors, like they are also most likely to work face to face customer service jobs, but the issue is not addressed at all is the point.)

Further, the study's conclusion contradicts other studies that have been done in Switzerland, China, France, and Australia. That does NOT mean it's wrong, but it does mean that comments like "obviously, what sort of science denier would dare believe otherwise. Trump hurr durr." are out of place. Between the conflict with other studies and the unaddressed demographic conflicts within the study, this is not exactly a mic drop outcome.

EDIT: the Australian study The University of Vermont paper which references other studies.

There's also Sweden concluding keeping schools open was a non factor.

It's just data for consumption. I AM NOT SAYING THIS KOREAN STUDY IS WRONG OR SHOULD BE IGNORED.

Wagamaga on July 19th, 2020 at 11:54 UTC »

Older children are more likely to spread Covid-19 within a household than younger children and adults, according to a new study of 5,706 coronavirus patients in South Korea. The researchers traced and tested nearly 60,000 people who had contact with the infected people and found that, on average, 11.8% of household contacts tested positive for Covid-19, according to the early release of a study published on the U.S. Centers for Disease Control and Prevention website. For people who lived with patients between the ages of 10 and 19, 18.6% tested positive for the virus within about 10 days after the initial case was detected -- the highest rate of transmission among the groups studied. Children younger than 10 spread the virus at the lowest rate, though researchers warned that could change when schools reopen.

https://www.bloombergquint.com/business/covid-19-spread-fastest-by-teens-and-tweens-korea-study-finds