TY - JOUR
T1 - Mathematical Modeling of COVID-19 Transmission and Intervention in South Korea
T2 - A Review of Literature
AU - Lee, Hyojung
AU - Kim, Sol
AU - Jeong, Minyoung
AU - Choi, Eunseo
AU - Ahn, Hyeonjeong
AU - Lee, Jeehyun
N1 - Publisher Copyright:
© Yonsei University College of Medicine 2023.
PY - 2023/1
Y1 - 2023/1
N2 - 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, meth-od, 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.
AB - 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, meth-od, 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.
KW - COVID-19
KW - intervention
KW - mathematical modeling
KW - South Korea
KW - transmission dynamics
UR - http://www.scopus.com/inward/record.url?scp=85144729984&partnerID=8YFLogxK
U2 - 10.3349/ymj.2022.0471
DO - 10.3349/ymj.2022.0471
M3 - Review article
C2 - 36579373
AN - SCOPUS:85144729984
SN - 0513-5796
VL - 64
SP - 1
EP - 10
JO - Yonsei Medical Journal
JF - Yonsei Medical Journal
IS - 1
ER -