Geodesic
Quantifying the Effects of Non-Pharmaceutical and Pharmaceutical Interventions Against Covid-19 Epidemic in the Republic of Korea: Mathematical Model-Based Approach Considering Age Groups and the Delta Variant
Youngsuk Ko1 ; Victoria May P. Mendoza1, 2 ; Yubin Seo3 ; Jacob Lee3 ; Yeonju Kim4 ; Donghyok Kwon4 ; Eunok Jung1
1 Department of Mathematics, Konkuk University, Seoul 05029, Korea
2 Institute of Mathematics, University of the Philippines Diliman, Quezon City 1101, Philippines
3 Division of Infectious Disease, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07441, Korea
4 Division of Public Health Emergency Response Research, Korea Disease Control and Prevention Agency, Chungcheongbuk-do 28159, Korea
Mathematical modelling of natural phenomena, Tome 17 (2022), article no. 39.

Voir la notice de l'article provenant de la source EDP Sciences

Early vaccination efforts and non-pharmaceutical interventions (NPIs) were insufficient to prevent a surge of COVID-19 cases triggered by the Delta variant. A compartment model that includes age, vaccination, and variants was developed. We estimated the transmission rates using maximum likelihood estimation, and phase-dependent NPIs according to government policies from 26 February to 8 October 2021. Simulations were done to examine the effects of varying dates of initiation and intensity of eased NPIs, arrival timing of Delta, and speed of vaccine administration. The estimated transmission rate matrices show distinct patterns, with transmission rates of younger groups (0-39 years) much larger with Delta. Social distancing (SD) level 2 and SD4 in Korea were associated with transmission reduction factors of 0.63-0.70 and 0.70-0.78, respectively. The easing of NPIs to a level comparable to SD2 should be initiated not earlier than 16 October to keep the number of severe cases below Korea’s healthcare capacity. Simulations showed that a surge prompted by Delta can be prevented if the number of people vaccinated daily or SD level when Delta arrived was higher. The timing of easing, intensity of NPIs, vaccination speed, and screening measures are key factors in preventing another epidemic wave.
DOI : 10.1051/mmnp/2022024

Youngsuk Ko 1 ; Victoria May P. Mendoza 1, 2 ; Yubin Seo 3 ; Jacob Lee 3 ; Yeonju Kim 4 ; Donghyok Kwon 4 ; Eunok Jung 1

1 Department of Mathematics, Konkuk University, Seoul 05029, Korea
2 Institute of Mathematics, University of the Philippines Diliman, Quezon City 1101, Philippines
3 Division of Infectious Disease, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07441, Korea
4 Division of Public Health Emergency Response Research, Korea Disease Control and Prevention Agency, Chungcheongbuk-do 28159, Korea 
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Youngsuk Ko; Victoria May P. Mendoza; Yubin Seo; Jacob Lee; Yeonju Kim; Donghyok Kwon; Eunok Jung. Quantifying the Effects of Non-Pharmaceutical and Pharmaceutical Interventions Against Covid-19 Epidemic in the Republic of Korea: Mathematical Model-Based Approach Considering Age Groups and the Delta Variant. Mathematical modelling of natural phenomena, Tome 17 (2022), article  no. 39. doi : 10.1051/mmnp/2022024. http://geodesic.mathdoc.fr/articles/10.1051/mmnp/2022024/

[1] Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases (NCIRD), Division of Viral Diseases, U.S. Science Brief: COVID-19 Vaccines and Vaccination, https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html, accessed: October 6, 2021.

[2] COVID-19 Vaccination status, https://ncv.kdca.go.kr/eng/, accessed: April 13, 2022.

[3] Korea Disease Control and Prevention Agency, Anounce about the adjustement of social distancing, http://ncov.mohw.go.kr/infoBoardView.do?brdId=3=32==6009=6009==, accessed: October 14, 2021.

[4]

[5]

[6]

[7] Korea Disease Control and Prevention Agency, PUBLIC HEALTH WEEKLY REPORT, PHWR (Vol. 14, No. 17, 2021), https://www.kdca.go.kr/board/board.es?mid=a30501000000=0031=713112=view, accessed: October 21, 2021.

[8] Korea Disease Control and Prevention Agency, PUBLIC HEALTH WEEKLY REPORT, PHWR (Vol. 14, No. 37, 2021), https://www.kdca.go.kr/board/board.es?mid=a30501000000=0031=716914=view#, accessed: October 21, 2021.

[9] Korea Disease Control and Prevention Agency, Questions and answers about COVID-19 vaccines, criteria for the implementation of COVID-19 vaccination, https://ncv.kdca.go.kr/menu.es?mid=a12207000000, accessed: October 14, 2021.

[10]

[11] Ministry of Education, Announce about school operation plan after Chuseok holiday, https://www.korea.kr/news/policyNewsView.do?newsId=148878606, accessed: October 14, 2021.

[12] Ministry of Health and Welfare, Republic of Korea. Coronavirus disease 2019 (COVID-19), http://ncov.mohw.go.kr/en/, accessed: October 6, 2021.

[13] National Institute for Mathematical Sciences, COVID-19 forecasts using mathematical modeling, https://www.nims.re.kr/research/post/covid19_2/34405, accessed: October 14, 2021.

[14] The Ministry of Health and Welfare, Plan of the step-by-step recovery from COVID-19, http://www.mohw.go.kr/react/al/sal0301vw.jsp?PAR_MENU_ID=04=0403=1=368237, accessed: October 14, 2021.

[15] WHO Situation Reports, https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19—5-october-2021, accessed: October 6, 2021.

[16] YTN science, Delta variant takes 96.7% among variants and number of cases for a week was 2555, 7467 in total, https://science.ytn.co.kr/program/program_view.php?s_mcd=0082=202108101604183996=2, accessed: October 14, 2021.

[17] J.P. Arcede, R.L. Caga-Anan, C.Q. Mentuda, Y. Mammeri Accounting for symptomatic and asymptomatic in a SEIR-type model of COVID-19 Math. Modell. Nat. Phenom 2020 34

[18] E. Augeraud-Véron Lifting the COVID-19 lockdown: different scenarios for France Math. Modell. Nat. Phenom 2020 40

[19] L. Bian, Q. Gao, F. Gao, Q. Wang, Q. He, X. Wu, Q. Mao, M. Xu, Z. Liang Impact of the Delta variant on vaccine efficacy and response strategies Exp. Rev. Vacc 2021 1 9

[20] G. Bianchin, E. Dall’Anese, J.I. Poveda, D. Jacobson, E.J. Carlton, A.G. Buchwald Novel use of online optimization in a mathematical model of COVID-19 to guide the relaxation of pandemic mitigation measures Sci. Rep 2022 1 14

[21] M.A. Billah, M.M. Miah, M.N. Khan Reproductive number of coronavirus: a systematic review and meta-analysis based on global level evidence PloS One 2020 e0242128

[22] F. Campbell, B. Archer, H. Laurenson-Schafer, Y. Jinnai, F. Konings, N. Batra, B. Pavlin, K. Vandemaele, M.D. Van Kerkhove, T. Jombart Increased transmissibility and global spread of SARS-CoV-2 variants of concern as at June 2021 Eurosurveillance 2021 2100509

[23] G. Chowell Fitting dynamic models to epidemic outbreaks with quantified uncertainty: a primer for parameter uncertainty, identifiability, and forecasts Infect. Disease Model 2017 379 398

[24] K. Dougherty, M. Mannell, O. Naqvi, D. Matson, J. Stone SARS-CoV-2 B. 1.617. 2 (Delta) variant COVID-19 outbreak associated with a gymnastics facility—Oklahoma, April—May 2021 Morb. Mort. Weekly Rep 2021 1004

[25] J. Jang, M.-J. Hwang, S.Y. Park, S.-S. Kim, J. Park, H. Yeom, S.B. Park, K. Donghyoks Trends in COVID-19 cases among children and adolescents aged 0-18 years in the Republic of Korea Korea Dis. Control Prev. Agency: Weekly Health Dis 2021

[26] M.J. Keeling, E.M. Hill, E.E. Gorsich, B. Penman, G. Guyver-Fletcher, A. Holmes, T. Leng, H. Mckimm, M. Tamborrino, L. Dyson Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies PLoS Comput. Biol 2021 e1008619

[27] M. Ki Epidemiologic characteristics of early cases with 2019 novel coronavirus (2019-nCoV) disease in Korea Epidemiol. Health 2020

[28] Y. Ko, J. Lee, Y. Kim, D. Kwon, E. Jung COVID-19 vaccine priority strategy using a heterogenous transmission model based on maximum likelihood estimation in the Republic of Korea Int. J. Environ. Res. Public Health 2021 6469

[29] Y. Ko, J. Lee, Y. Kim, D. Kwon, E. Jung COVID-19 vaccine priority strategy using a heterogenous transmission model based on maximum likelihood estimation in the Republic of Korea Int. J. Environ. Res. Public Health 2021

[30] Y. Ko, J. Lee, Y. Seo and E. Jung, Risk of COVID-19 transmission in heterogeneous age groups and effective vaccination strategy in Korea: a mathematical modeling study. EpiH (2021).

[31] Y.-H. Lee, C.M. Hong, D.H. Kim, T.H. Lee, J. Lee Clinical course of asymptomatic and mildly symptomatic patients with coronavirus disease admitted to community treatment centers, South Korea Emerg. Infect. Dis 2020 2346

[32] J. Lopez Bernal, N. Andrews, C. Gower, E. Gallagher, R. Simmons, S. Thelwall, J. Stowe, E. Tessier, N. Groves, G. Dabrera et al., Effectiveness of Covid-19 vaccines against the B. 1.617. 2 (Delta) variant. N. Engl. J. Med. (2021) 585–594.

[33] E. Mahase, Delta variant: What is happening with transmission, hospital admissions, and restrictions? (2021).

[34] S. Marino, I.B. Hogue, C.J. Ray, D.E. Kirschner A methodology for performing global uncertainty and sensitivity analysis in systems biology J. Theor. Biol 2008 178 196

[35] A. Moussaoui, P. Auger Prediction of confinement effects on the number of Covid-19 outbreak in Algeria Math. Model. Nat. Phenom 2020 37

[36] H. Nishiura and G. Chowell, The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends, 103–121, Springer Netherlands, Dordrecht (2009).

[37] H.K. Park, J.H. Ham, D.H. Jang, J.Y. Lee, W.M. Jang Political ideologies, government trust, and COVID-19 VACCINE HESITANCY in South Korea: a cross-sectional survey Int. J. Environ. Res. Public Health 2021 10655

[38] T.A. Perkins, G. Espana Optimal control of the COVID-19 pandemic with non-pharmaceutical interventions Bull. Math. Biol 2020 1 24

[39] G. Rainisch, E.A. Undurraga, G. Chowell A dynamic modeling tool for estimating healthcare demand from the COVID19 epidemic and evaluating population-wide interventions Int. J. Infectious Dis 2020 376 383

[40] R. Rowthorn, J. Maciejowski A cost-benefit analysis of the COVID-19 disease Oxford Rev. Econ. Policy 2020 S38 S55

[41] P. Van Den Driessche, J. Watmough Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission Math. Biosci 2002 29 48

[42] Y. Wang, R. Chen, F. Hu, Y. Lan, Z. Yang, C. Zhan, J. Shi, X. Deng, M. Jiang, S. Zhong Transmission, viral kinetics and clinical characteristics of the emergent SARS-CoV-2 Delta VOC in Guangzhou, China EClinicalMedicine 2021 101129

[43] WHO et al., Transmission of SARS-CoV-2: implications for infection prevention precautions: scientific brief, 09 July 2020. Tech. rep., World Health Organization (2020).

[44] J. Yang, G. Wang, S. Zhang, F. Xu, X. Li Analysis of the age-structured epidemiological characteristics of SARS-COV-2 transmission in mainland China: an aggregated approach Math. Modell. Nat. Phenom 2020 39

[45] K. Youngwha, K. Yuyeon, H. Yum, J. Jang, I. Hwang, G. Park, Y. Park, S. Lee, D. Kwon Annual COVID-19 occurrence report Korea Disease Control and Prevention Agency: Weekly health and diseases 2021

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