Yonsei Med J.
2023 Jan;64(1):1-10. 10.3349/ymj.2022.0471.
Mathematical Modeling of COVID-19 Transmission and Intervention in South Korea: A Review of Literature
- Affiliations
-
- 1Department of Statistics, Kyungpook National University, Daegu, Korea.
- 2School of Mathematics and Computing (Mathematics), Yonsei University, Seoul, Korea.
- KMID: 2537188
- DOI: http://doi.org/10.3349/ymj.2022.0471
Abstract
- South Korea implemented interventions to curb the spread of the novel coronavirus disease 2019 (COVID-19) pandemic with discovery of the first case in early 2020. Mathematical modeling designed to reflect the dynamics of disease transmission has been shown to be an important tool for responding to COVID-19. This study aimed to review publications on the structure, method, and role of mathematical models focusing on COVID-19 transmission dynamics in Korea. In total, 42 papers published between August 7, 2020 and August 21, 2022 were studied and reviewed. This study highlights the construction and utilization of mathematical models to help craft strategies for predicting the course of an epidemic and evaluating the effectiveness of control strategies. Despite the limitations caused by a lack of available epidemiological and surveillance data, modeling studies could contribute to providing scientific evidence for policymaking by simulating various scenarios.
- Full Text Links
-
- Actions
-
Cited
- CITED
-
- Close
- Share
-
- Similar articles
-
- Mathematical modeling of the impact of Omicron variant on the COVID-19 situation in South Korea
- Prediction of COVID-19 transmission dynamics using a mathematical model considering behavior changes in Korea
- School Closures during Coronavirus Disease 2019 Outbreak
- Atypical modes of COVID-19 transmission: how likely are they?
- School closures during the coronavirus disease 2019 outbreak
