Background: South Korea is one of the few countries that has succeeded in flattening the curve of new COVID-19 cases and avoiding a second outbreak by implementing multiple strategies, ranging from an individual level to the population level. Objective: We aim to discuss the unique strategies and epidemiological characteristics of COVID-19 in South Korea and present a summary of policies implemented by the Korean government during the COVID-19 pandemic. Methods: We designed a cross-sectional study of epidemiological data published by the Korea Centers for Disease Control and Prevention on October 1, 2020. We analyzed detailed epidemiological information of COVID-19 cases, including the number of confirmed cases and resulting deaths. Results: As of October 1, 2020, a total of 23,889 confirmed COVID-19 cases and 415 deaths were reported in South Korea. In this paper, we present data on the epidemiological characteristics and transmission of the disease and discuss how the South Korean government, health care providers, and society responded to the COVID-19 outbreak. Conclusions: Understanding the epidemiological characteristics of COVID-19 in South Korea and the government's successful efforts in managing the spread of the disease can provide important insights to other countries dealing with the ongoing pandemic.
|Journal||Journal of medical Internet research|
|Publication status||Published - 2020 Dec|
Bibliographical notePublisher Copyright:
© Gwang Hun Jeong, Hyo Jeong Lee, Jinhee Lee, Jun Young Lee, Keum Hwa Lee, Young Joo Han, Sojung Yoon, Seohyun Ryu, Da Kyung Kim, Myung Bae Park, Jae Won Yang, Maria Effenberger, Michael Eisenhut, Sung Hwi Hong, Andreas Kronbichler, Ramy Abou Ghayda, Jae Il Shin. Originally published in the Journal of Medical Internet Research (http://www.jmir.org),10.12.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
All Science Journal Classification (ASJC) codes
- Health Informatics