scholarly journals COVID-19 in South Korea

2020 ◽  
Vol 96 (1137) ◽  
pp. 399-402 ◽  
Author(s):  
Jun Yong Choi

A novel coronavirus (severe acute respiratory syndrome-CoV-2) that initially originated from Wuhan, China, in December 2019 has already caused a pandemic. While this novel coronavirus disease (COVID-19) frequently induces mild diseases, it has also generated severe diseases among certain populations, including older-aged individuals with underlying diseases, such as cardiovascular disease and diabetes. As of 31 March 2020, a total of 9786 confirmed cases with COVID-19 have been reported in South Korea. South Korea has the highest diagnostic rate for COVID-19, which has been the major contributor in overcoming this outbreak. We are trying to reduce the reproduction number of COVID-19 to less than one and eventually succeed in controlling this outbreak using methods such as contact tracing, quarantine, testing, isolation, social distancing and school closure. This report aimed to describe the current situation of COVID-19 in South Korea and our response to this outbreak.

2021 ◽  
pp. 0272989X2110030
Author(s):  
Serin Lee ◽  
Zelda B. Zabinsky ◽  
Judith N. Wasserheit ◽  
Stephen M. Kofsky ◽  
Shan Liu

As the novel coronavirus (COVID-19) pandemic continues to expand, policymakers are striving to balance the combinations of nonpharmaceutical interventions (NPIs) to keep people safe and minimize social disruptions. We developed and calibrated an agent-based simulation to model COVID-19 outbreaks in the greater Seattle area. The model simulated NPIs, including social distancing, face mask use, school closure, testing, and contact tracing with variable compliance and effectiveness to identify optimal NPI combinations that can control the spread of the virus in a large urban area. Results highlight the importance of at least 75% face mask use to relax social distancing and school closure measures while keeping infections low. It is important to relax NPIs cautiously during vaccine rollout in 2021.


Author(s):  
Eunha Shim ◽  
Amna Tariq ◽  
Wongyeong Choi ◽  
Yiseul Lee ◽  
Gerardo Chowell

AbstractSince the first identified individual of 2019 novel coronavirus (COVID-19) infection on Jan 20, 2020 in South Korea, the number of confirmed cases rapidly increased. As of Feb 26, 2020, 1,261 cases of COVID-19 including 12 deaths were confirmed in South Korea. Using the incidence data of COVID-19, we estimate the reproduction number at 1.5 (95% CI: 1.4-1.6), which indicates sustained transmission and support the implementation of social distancing measures to rapidly control the outbreak.


Work ◽  
2020 ◽  
Vol 67 (4) ◽  
pp. 779-782
Author(s):  
Namdeo Prabhu ◽  
Rakhi Issrani

BACKGROUND: The World Health Organization (WHO) has declared novel coronavirus (COVID-19) infection a global pandemic due to the fast transmission of this disease worldwide. To prevent and slow the transmission of this contagious illness, the public health officials of many affected countries scrambled to introduce measures aimed at controlling its spread. As a result, unprecedented interventions/measures, including strict contact tracing, quarantine of entire towns/cities, closing of borders and travel restrictions, have been implemented by most of the affected countries including the Kingdom of Saudi Arabia. OBJECTIVES: The aim of this paper is to share health care professionals’ perspectives who are experiencing COVID19 firsthand in a foreign land. In addition, the role of the Saudi governance to combat the current situation is also discussed. DISCUSSION: Personal and previous experiences as related to Middle East respiratory syndrome coronavirus (MERS-CoV) by the authors has been compared to the current situation and how it affected our thoughts and management. A review of the evidence-based literature was conducted to investigate the demographics of the region; and to understand the awareness of the various tools that are available and how they were utilized in the present situation of pandemic. CONCLUSIONS: Saudi Arabia has been challenged during the pandemic as are other countries.


2020 ◽  
Vol 9 (2) ◽  
pp. 462 ◽  
Author(s):  
Biao Tang ◽  
Xia Wang ◽  
Qian Li ◽  
Nicola Luigi Bragazzi ◽  
Sanyi Tang ◽  
...  

Since the emergence of the first cases in Wuhan, China, the novel coronavirus (2019-nCoV) infection has been quickly spreading out to other provinces and neighboring countries. Estimation of the basic reproduction number by means of mathematical modeling can be helpful for determining the potential and severity of an outbreak and providing critical information for identifying the type of disease interventions and intensity. A deterministic compartmental model was devised based on the clinical progression of the disease, epidemiological status of the individuals, and intervention measures. The estimations based on likelihood and model analysis show that the control reproduction number may be as high as 6.47 (95% CI 5.71–7.23). Sensitivity analyses show that interventions, such as intensive contact tracing followed by quarantine and isolation, can effectively reduce the control reproduction number and transmission risk, with the effect of travel restriction adopted by Wuhan on 2019-nCoV infection in Beijing being almost equivalent to increasing quarantine by a 100 thousand baseline value. It is essential to assess how the expensive, resource-intensive measures implemented by the Chinese authorities can contribute to the prevention and control of the 2019-nCoV infection, and how long they should be maintained. Under the most restrictive measures, the outbreak is expected to peak within two weeks (since 23 January 2020) with a significant low peak value. With travel restriction (no imported exposed individuals to Beijing), the number of infected individuals in seven days will decrease by 91.14% in Beijing, compared with the scenario of no travel restriction.


Author(s):  
Xiaofeng Luo ◽  
Shanshan Feng ◽  
Junyuan Yang ◽  
Xiao-Long Peng ◽  
Xiaochun Cao ◽  
...  

The ongoing outbreak of the novel coronavirus pneumonia (also known as COVID-19) has triggered a series of stringent control measures in China, such as city closure, traffic restrictions, contact tracing and household quarantine. These containment efforts often lead to changes in the contact pattern among individuals of the population. Many existing compartmental epidemic models fail to account for the effects of contact structure. In this paper, we devised a pairwise epidemic model to analyze the COVID-19 outbreak in China based on confirmed cases reported during the period February 3rd--17th, 2020. By explicitly incorporating the effects of family clusters and contact tracing followed by household quarantine and isolation, our model provides a good fit to the trajectory of COVID-19 infections and is useful to predict the epidemic trend. We obtained the average of the reproduction number $R=1.494$ ($95\%$ CI: $1.483-1.507$) for Hubei province and $R=1.178$ ($95\%$ CI: $1.145-1.158$) for China (except Hubei), suggesting that some existing studies may have overestimated the reproduction number by neglecting the dynamical correlations and clustering effects. We forecasted that the COVID-19 epidemic would peak on February 13th ($95\%$ CI: February $9-17$th) in Hubei and 6 days eariler in the regions outside Hubei. Moreover the epidemic was expected to last until the middle of March in China (except Hubei) and late April in Hubei. The sensitivity analysis shows that ongoing exposure for the susceptible and population clustering play an important role in the disease propagation. With the enforcement of household quarantine measures, the reproduction number $R$ effectively reduces and epidemic quantities decrease accordingly. Furthermore, we gave an answer to the public concern on how long the stringent containment strategies should maintain. Through numerical analysis, we suggested that the time for the resumption of work and production in China (except Hubei) and Hubei would be the middle of March and the end of April, 2020, respectively. These constructive suggestions may bring some immeasurable social-economic benefits in the long run.


2020 ◽  
Author(s):  
Siva Athreya ◽  
Nitya Gadhiwala ◽  
Abhiti Mishra

We analyze the data provided in the Novel Coronavirus (COVID-19) media bulletins of the Government of Karnataka. We classify the patients of COVID-19 into clusters and study the Reproduction number and Dispersion for eight specific clusters. We find that it is uniformly less than one, indicating the benefits of contact tracing, lockdown and quarantine measures. However, the Dispersion is low indicating individual variation in secondary infections and the occurrence of Super-spreading events. Finally, we analyze the surge in infections after 27th June and find it unlikely that it was caused solely by the large Migration in May and June 2020.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 77-80 ◽  
Author(s):  
Pooja Shah ◽  
Waqar Naqvi

The novel coronavirus of 2019, COVID-19, also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread from its origin Wuhan, China to the rest of the world.It is important to note that while the number of new cases has reduced in China lately, they have increased exponentially in other countries including South Korea, Italy and Iran. In India, the COVID-19 trajectory appears assured to change modes. While the number of incidents grew slowly in February, they doubled in just five days in mid-March from 100 to more than 236, and now at the end of April, the cases reported are 29,435.These numbers are possibly an underestimate of the infected and dead due to limitations of surveillance and testing. . The Indian government declared a countrywide shutdown for a period of 3 weeks from 24th of March to help prevent the spread of the virus. Most of the affected people had connection with flyers from covid-19 affected countries; some of them had no such interaction, indicating that community transmission could have started in several parts of India. Thus an important collective goal is to reduce the outbreak and to flatten the peak of the outbreak curve. Cooperation is a crucial tool in the COVID-19 battle. There is a need to identify and find a way around the particular threats, the overarching cultural and social patterns in our area. This article discusses the tactics thatshould build for handling the crisis.


2020 ◽  
Vol 32 (3) ◽  
pp. 608-609
Author(s):  
Smita Sinha ◽  
Rishita Chandra

A novel coronavirus named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in December 2019, in Wuhan city of Hubei province of China, which got transmitted throughout the nation and even world. It was declared as a Public Health Emergency by WHO on January 30th 2020, due to the increase in the number of cases reported from various regions of WHO with the evidence of human to human transmission. (1) Spread of COVID-19 across the globe: China reported first COVID-19 death on January 11th 2020.  After a few weeks, 830 cases were diagnosed in China along with 26 reported deaths. By January 20, Wuhan was placed under lockdown and China alerted other nations about its spread in various provinces. (2) This contagious disease had spread to 24 nations outside China-Hong Kong-Macau, by 2nd February.  About 172 countries and regions were engulfed by this virus by March 25, 2020. (3) Globally over 3,308,643 cases have been confirmed, over 234,123 deaths have been reported, and around 1,042,981 have recovered as on 30th April 2020. (4) Controlling the Pandemic COVID 19: success story of the Republic of Korea: Initially, one country which successfully stood out from the rest of the world was South Korea. The country confirmed its first few cases in late January and then reported a surge in the cases a few weeks later. The country was exploded with cases in dozens to hundreds to thousands during late February and early March and launched drive-through testing centers and massive contact tracing. Almost 909 new cases were identified in a single day of February 29th 2020 and was reported at peak. This data brought the country with 50 million population on the verge of a deluge. But the number of new cases was halved within a time period of just a week. The number of cases reduced to half within four days, and it halved, again the following day. (5)    


2020 ◽  
Vol 32 (6-7) ◽  
pp. 360-362 ◽  
Author(s):  
Sunhee Park ◽  
Beomsoo Kim ◽  
Jaeil Lee

The novel coronavirus disease (COVID-19) outbreak has put the entire world in a pandemic situation. In response, strict screening, quarantine protocols, and contact tracing have been conducted in South Korea. The purpose of this study was to examine effects of social distancing on the Public Bicycle Sharing System (PBSS) during the COVID-19 outbreak. We used the PBSS public dataset of Seoul, South Korea. Difference-in-differences (DID) analysis was used. In the DID approach, the 2 groups are distinguished based on designated year. Cases of PBSS use were observed in 2 time periods: pre- and post-strict social distancing in Seoul, Korea. Average PBSS usage per day doubled during 2019-2020 (30 697 vs 77 996, P < .001). Commuters and weekend users increased during the social distancing period in 2020 compared with the same period in 2019. DID analysis showed statistically significant positive effects of high levels of social distancing on PBSS usage, commuters, weekend users, and new subscribers. In conclusion, social distancing during the COVID-19 outbreak increased outdoor physical activity. Meaningful outdoor physical activity during the COVID-19 pandemic can be safe from infection and psychologically stabilized as long as keeping meticulous physical distancing, such as hand hygiene, wearing facial masks, and surface cleaning of public resources.


Author(s):  
Mirjam E. Kretzschmar ◽  
Ganna Rozhnova ◽  
Michiel van Boven

AbstractBackgroundNovel coronavirus (SARS-CoV-2) has extended its range of transmission in all parts of the world, with substantial variation in rates of transmission and severity of associated disease. Many countries have implemented social distancing as a measure to control further spread.MethodsWe evaluate whether and under which conditions containment or slowing down COVID-19 epidemics are possible by isolation and contact tracing in settings with various levels of social distancing. We use a stochastic transmission model in which every person generates novel infections according to a probability distribution that is affected by the incubation period distribution (time from infection to symptoms), distribution of the latent period (time from infection to onset of infectiousness), and overall transmissibility. The model distinguishes between close contacts (e.g., within a household) and other contacts in the population. Social distancing affects the number of contacts outside but not within the household.FindingsThe proportion of asymptomatic or unascertained cases has a strong impact on the controllability of the disease. If the proportion of asymptomatic infections is larger than 30%, contact tracing and isolation cannot achieve containment for an R0 of 2.5. Achieving containment by social distancing requires a reduction of numbers of non-household contacts by around 90%. Depending on the realized level of contact reduction, tracing and isolation of only household contacts, or of household and non-household contacts are necessary to reduce the effective reproduction number to below 1. A combination of social distancing with isolation and contact tracing leads to synergistic effects that increase the prospect of containment.InterpretationIsolation and contact tracing can be an effective means to slow down epidemics, but only if the majority of cases are ascertained. In a situation with social distancing, contact tracing can act synergistically and tip the scale towards containment, and can therefore be a tool for controlling COVID-19 epidemics as part of an exit strategy from current lockdown measures.FundingThis research was partly funded by ZonMw project number 91216062.Research in contextEvidence before this studyAs of 8 April 2020, the novel coronavirus (SARS-CoV-2) has spread to more than 170 countries and has caused near 90,000 deaths of COVID-19 worldwide. In the absence of effective medicines and vaccines, the preventive measures are limited to social distancing, isolation of confirmed and suspected cases, and identification and quarantining of their contacts. Evidence suggests that a substantial portion of transmission may occur before the onset of symptoms and before cases can be isolated, and that many cases remain unascertained. This has potentially important implications for the prospect of containment by combinations of these measures.Added value of this studyUsing a stochastic transmission model armed with current best estimates of epidemiological parameters, we evaluated under which conditions containment could be achieved with combinations of social distancing, isolation and contact tracing. We investigated the level of social distancing needed for containment, and how an additional implementation of isolation and contact tracing may likely help to in reducing the effective reproduction number to below 1, the critical threshold. We analyzed what proportion of household and non-household contacts need to be isolated effectively to achieve containment depending on the level of social distancing in the population. We estimated the impact of combinations of these measures on epidemic growth rate and doubling time for the number of infections. We find that under realistic assumptions on the level of social distancing, additional isolation and contact tracing are needed for stopping the epidemic. Whether quarantining only household contacts is sufficient, depends on levels of social distancing and timeliness of tracing and isolation.Implications of all the available evidenceOur analyses based on best understanding of the epidemiology of COVID-19, highlight that if social distancing is not complete, isolation and contact tracing at least of household contacts can help to delay and lower the epidemic peak. High levels of timely contact tracing of household and non-household contacts may be sufficient to control the epidemic.


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