School Opening Delay Effect on Transmission Dynamics of Coronavirus Disease 2019 in Korea: Based on Mathematical Modeling and Simulation Study

被引:16
作者
Kim, Soyoung [1 ]
Kim, Yae Jean [2 ]
Peck, Kyong Ran [3 ]
Jung, Eunok [1 ]
机构
[1] Konkuk Univ, Dept Math, 120 Neungdong Ro, Seoul 05029, South Korea
[2] Sungkyunkwan Univ, Samsung Med Ctr, Dept Pediat, Sch Med, Seoul, South Korea
[3] Sungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
COVID-19; Mathematical Modeling; Behavior Changes; School Opening Delay; School Closures;
D O I
10.3346/jkms.2020.35.e143
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Nonpharmaceutical intervention strategy is significantly important to mitigate the coronavirus disease 2019 (COVID-19) spread. One of the interventions implemented by the government is a school closure. The Ministry of Education decided to postpone the school opening from March 2 to April 6 to minimize epidemic size. We aimed to quantify the school closure effect on the COVID-19 epidemic. Methods: The potential effects of school opening were measured using a mathematical model considering two age groups: children (aged 19 years and younger) and adults (aged over 19). Based on susceptible-exposed-infectious-recovered model, isolation and behavior-changed susceptible individuals are additionally considered. The transmission parameters were estimated from the laboratory confirmed data reported by the Korea Centers for Disease Control and Prevention from February 16 to March 22. The model was extended with estimated parameters and estimated the expected number of confirmed cases as the transmission rate increased after school opening. Results: Assuming the transmission rate between children group would be increasing 10 fold after the schools open, approximately additional 60 cases are expected to occur from March 2 to March 9, and approximately additional 100 children cases are expected from March 9 to March 23. After March 23, the number of expected cases for children is 28.4 for 7 days and 33.6 for 14 days. Conclusion: The simulation results show that the government could reduce at least 200 cases, with two announcements by the Ministry of education. After March 23, although the possibility of massive transmission in the children's age group is lower, group transmission is possible to occur.
引用
收藏
页数:9
相关论文
共 19 条
  • [1] [Anonymous], Matlab
  • [2] Estimating the reproductive number and the outbreak size of COVID-19 in Korea
    Choi, Sunhwa
    Ki, Moran
    [J]. EPIDEMIOLOGY AND HEALTH, 2020, 42
  • [3] Molecular epidemiology of respiratory syncytial virus transmission in childcare
    Chu, Helen Y.
    Kuypers, Jane
    Renaud, Christian
    Wald, Anna
    Martin, Emily
    Fairchok, Mary
    Magaret, Amalia
    Sarancino, Misty
    Englund, Janet A.
    [J]. JOURNAL OF CLINICAL VIROLOGY, 2013, 57 (04) : 343 - 350
  • [4] Fang Y, 2020, J MED VIROL
  • [5] Epidemiologic characteristics of early cases with 2019 novel coronavirus (2019-nCoV) disease in Korea
    Ki, Moran
    [J]. EPIDEMIOLOGY AND HEALTH, 2020, 42
  • [6] Mathematical model of transmission dynamics and optimal control strategies for 2009 A/H1N1 influenza in the Republic of Korea
    Kim, Soyoung
    Lee, Jonggul
    Jung, Eunok
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2017, 412 : 74 - 85
  • [7] Korea Centers for Disease Control and Prevention, 2020, KOR SIT REP COVID 19
  • [8] Korea Centers for Disease Control and Prevention, 2020, DAIL CUM CONF DAT
  • [10] KOrean Statistical information Service, 2019, STAT CHILDC AG 2019