tetano
Editor, Senior Moderator
Epidemiol Health
. 2020 Sep 7;e2020064.
doi: 10.4178/epih.e2020064. Online ahead of print.
Analyzing the Effect of Social Distancing for Novel Coronavirus Disease 2019(COVID-19) in South Korea
Sunhwa Choi[SUP] 1 [/SUP], Moran Ki[SUP] 1 [/SUP]
Affiliations
Abstract
Objectives: During the 6 months since the first COVID-19 patient was diagnosed in South Korea on January-20, 2020, various prevention and control measures have been implemented according to the COVID-19 epidemic pattern. Therefore, this study aimed to estimate the reproductive numbers(R) for each epidemic stage to analyze the effects of the preventive measures and to predict the COVID-19 transmission trends.
Methods: We estimated the transmission rates for each epidemic stage by fitting a COVID-19 transmission model, based on a deterministic mathematical model, to the data on confirmed cases. The effects of preventive measures such as social distancing by time period were analyzed, and the size and trends of future COVID-19 outbreaks were estimated.
Results: The value of R was 3.53 from February-18 to February-28, and the mean R reduced to 0.45 from March-14 to April-30, but it significantly increased to 2.69 from April-30 to May-13 and it was maintained at 1.03 from May-14 to July-23.
Conclusion: According to the estimated R, it had fallen to below 1 and was maintained at that level owing to the isolation of infected persons by the public health authorities and social distancing measures followed by the general public. Then, the estimated R increased rapidly as the contact among individuals increased during the long holiday period from April-30 to May-5. Thereafter, the value of R dropped, with the continued use of preventive measures but remained higher than 1, indicating that the COVID-19 outbreak can be prolonged and develop into a severe outbreak at any time.
Keywords: Coronavirus, Mathematical model, Outbreak, Reproductive number, Social distancing, South Korea.
. 2020 Sep 7;e2020064.
doi: 10.4178/epih.e2020064. Online ahead of print.
Analyzing the Effect of Social Distancing for Novel Coronavirus Disease 2019(COVID-19) in South Korea
Sunhwa Choi[SUP] 1 [/SUP], Moran Ki[SUP] 1 [/SUP]
Affiliations
- PMID: 32898942
- DOI: 10.4178/epih.e2020064
Abstract
Objectives: During the 6 months since the first COVID-19 patient was diagnosed in South Korea on January-20, 2020, various prevention and control measures have been implemented according to the COVID-19 epidemic pattern. Therefore, this study aimed to estimate the reproductive numbers(R) for each epidemic stage to analyze the effects of the preventive measures and to predict the COVID-19 transmission trends.
Methods: We estimated the transmission rates for each epidemic stage by fitting a COVID-19 transmission model, based on a deterministic mathematical model, to the data on confirmed cases. The effects of preventive measures such as social distancing by time period were analyzed, and the size and trends of future COVID-19 outbreaks were estimated.
Results: The value of R was 3.53 from February-18 to February-28, and the mean R reduced to 0.45 from March-14 to April-30, but it significantly increased to 2.69 from April-30 to May-13 and it was maintained at 1.03 from May-14 to July-23.
Conclusion: According to the estimated R, it had fallen to below 1 and was maintained at that level owing to the isolation of infected persons by the public health authorities and social distancing measures followed by the general public. Then, the estimated R increased rapidly as the contact among individuals increased during the long holiday period from April-30 to May-5. Thereafter, the value of R dropped, with the continued use of preventive measures but remained higher than 1, indicating that the COVID-19 outbreak can be prolonged and develop into a severe outbreak at any time.
Keywords: Coronavirus, Mathematical model, Outbreak, Reproductive number, Social distancing, South Korea.