Optimal non-pharmaceutical interventions considering limited healthcare system capacity and economic costs in the Republic of Korea
Mathematical modelling of natural phenomena, Tome 19 (2024), article no. 6.

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Due to the relatively low severity and fatality rates of the omicron variant of COVID-19, strict non-pharmaceutical interventions (NPIs) with high economic costs may not be necessary. We develop a mathematical model of the COVID-19 outbreak in Korea that considers NPIs, variants, medical capacity, and economic costs. Using optimal control theory, we propose an optimal strategy for the omicron period. To suggest a realistic strategy, we consider limited hospital beds for severe cases and incorporate it as a penalty term in the objective functional using a logistic function. This transforms the constrained problem into an unconstrained one. Given that the solution to the optimal control problem is continuous, we propose the adoption of a sub-optimal control as a more practically implementable alternative. Our study demonstrates how to strategically balance the trade-off between minimizing the economic cost for NPIs and ensuring that the number of severe cases in hospitals is manageable.
DOI : 10.1051/mmnp/2024005

Yuna Lim 1 ; Youngsuk Ko 1 ; Victoria May P. Mendoza 2 ; Renier Mendoza 2 ; Jongmin Lee 1 ; 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
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Yuna Lim; Youngsuk Ko; Victoria May P. Mendoza; Renier Mendoza; Jongmin Lee; Eunok Jung. Optimal non-pharmaceutical interventions considering limited healthcare system capacity and economic costs in the Republic of Korea. Mathematical modelling of natural phenomena, Tome 19 (2024), article  no. 6. doi : 10.1051/mmnp/2024005. http://geodesic.mathdoc.fr/articles/10.1051/mmnp/2024005/

[1] R. Manjunath, S.L. Gaonkar, E.A. Musad Saleh, K. Husain A comprehensive review on COVID-19 omicron (b.1.1.529) variant Saudi J. Biol. Sci. 2022 103372

[2] S. Arora, V. Grover, P. Saluja, Y.A. Algarni, S.A. Saquib, S.M. Asif, K. Batra, M.Y. Alshahrani, G. Das, R. Jain Literature review of omicron: a grim reality amidst COVID-19 Microorganisms 2022 451

[3] Korea Disease Control and Prevention Agency, Public Health Weekly Report, PHWR 15 (2022). https://www.kdca.go.kr/board/board.es?mid=a20602010000=0034=718944=view# (accessed February 25, 2023).

[4] J. Chen, A. Vullikanti, J. Santos, S. Venkatramanan, S. Hoops, H. Mortveit, B. Lewis, W. You, S. Eubank, M. Marathe Epidemiological and economic impact of covid-19 in the us Sci. Rep. 2021 1 12

[5] P. Yuan, E. Aruffo, Y. Tan, L. Yang, N.H Ogden, A. Fazil, H. Zhu Projections of the transmission of the omicron variant for Toronto, Ontario, and Canada using surveillance data following recent changes in testing policies Infect. Dis. Model. 2022 83 93

[6] C.N. Ngonghala, H.B. Taboe, S. Safdar, A.B. Gumel Unraveling the dynamics of the omicron and delta variants of the 2019 coronavirus in the presence of vaccination, mask usage, and antiviral treatment Appl. Math. Model. 2023 447 465

[7] G. Vattiato, O. Maclaren, A. Lustig, R.N. Binny, S.C. Hendy, M.J. Plank An assessment of the potential impact of the omicron variant of SARS-COV-2 in Aotearoa New Zealand Infect. Dis. Model. 2022 94 105

[8] J.-H. Oh, C. Apio, T.-S. Park Mathematical modeling of the impact of omicron variant on the COVID-19 situation in South Korea Genomics Inform. 2022 22 22

[9] 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

[10] L.L. Obsu, S.F. Balcha Optimal control strategies for the transmission risk of COVID-19 J. Biol. Dyn. 2020 590 607

[11] T.A. Perkins, G. España Optimal control of the COVID-19 pandemic with non-pharmaceutical interventions Bull. Math. Biol. 2020 118

[12] T. Li, Y. Guo Optimal control and cost-effectiveness analysis of a new COVID-19 model for omicron strain Physica A 2022 128134

[13] W. Choi, E. Shim Optimal strategies for social distancing and testing to control COVID-19 J. Theor. Biol. 2021 110568

[14] C.J. Silva, C. Cruz, D.F.M. Torres, A.P. Munuzuri, A. Carballosa, I. Area, J.J. Nieto, R. Fonseca-Pinto, R. Passadouro, E.S. Dos Santos Optimal control of the COVID-19 pandemic: controlled sanitary deconfinement in Portugal Sci. Rep. 2021 3451

[15] K. Zong, C. Luo Optimal control analysis of a multigroup SEAIHRD model for COVID-19 epidemic Risk Anal. 2023 62 77

[16] D. Biswas, L. Alfandari Designing an optimal sequence of non-pharmaceutical interventions for controlling COVID-19 Eur. J. Oper. Res. 2022 1372 1391

[17] C. Colas, B. Hejblum, S. Rouillon, R. Thiébaut, P.-Y. Oudeyer, C. Moulin-Frier, M. Prague Epidemioptim: a toolbox for the optimization of control policies in epidemiological models J. Artif. Intell. Res. 2021 479 519

[18] V.M.P. Mendoza, R. Mendoza, J. Lee, E. Jung Adjusting non-pharmaceutical interventions based on hospital bed capacity using a multi-operator differential evolution AIMS Math. 2022 19922 19953

[19] 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 4731

[20] P. Cumsille, O. Rojas-Díaz, C. Conca A general modeling framework for quantitative tracking, accurate prediction of ICU, and assessing vaccination for COVID-19 in Chile Front. Public Health 2023 1111641

[21] Coronavirus Disease 19 (COVID-19). https://ncov.kdca.go.kr/en/ (accessed December 11, 2023).

[22] K.M. Bubar, K. Reinholt, S.M. Kissler, M. Lipsitch, S. Cobey, Y.H. Grad, D.B. Larremore Model-informed COVID-19 vaccine prioritization strategies by age and serostatus Science 2021 916 921

[23] Korea Disease Control and Prevention Agency, press release-regular briefing, January 13, 2022. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=view=718272 (accessed March 2, 2023).

[24] Ministry of the Interior and Safety, ktv news announcement: extension of prescription, May 17, 2022. https://www.mois.go.kr/video/bbs/type019/commonSelectBoardArticle.do?bbsId=BBSMSTR_000000000255=92097 (accessed March 2, 2023).

[25] O. Diekmann, J.A.P. Heesterbeek, M.G. Roberts The construction of next-generation matrices for compartmental epidemic models J. Roy. Soc. Interface 2010 873 885

[26] Y. Alimohamadi, M. Taghdir, M. Sepandi Estimate of the basic reproduction number for COVID-19: a systematic review and meta-analysis J. Prev. Med. Public Health 2020 151

[27] Korea Disease Control and Prevention Agency, Public Health Weekly Report, PHWR 14 (2021). https://www.kdca.go.kr/board/board.es?mid=a20602010000=0034=712537=view#. (accessed February 25, 2023).

[28] Korea Disease Control and Prevention Agency, Press release-regular briefing, February 3, 2022. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=718527==view=79 (accessed February 25, 2023).

[29] Korea Disease Control and Prevention Agency, Press release-regular briefing, September 23, 2022. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=view=720760 (accessed February 25, 2023).

[30] S. Lenhart and J.T. Workman, Optimal Control Applied to Biological Models. Chapman and Hall/CRC (2007).

[31] E.G. Nepomuceno, M.L.C. Peixoto, M.J. Lacerda, A.S.L.O. Campanharo, R.H.C. Takahashi, L.A. Aguirre Application of optimal control of infectious diseases in a model-free scenario SN Comput. Sci. 2021 405

[32] H. Lee, C. Han, J. Jung, S. Lee Analysis of superspreading potential from transmission clusters of COVID-19 in South Korea Int. J. Environ. Res. Public Health 2021 12893

[33] E. Shim, A. Tariq, W. Choi, Y. Lee, G. Chowell Transmission potential and severity of COVID-19 in South Korea Int. J. Infect. Dis. 2020 339 344

[34] S. Jang, S.H. Han, J.-Y. Rhee Cluster of coronavirus disease associated with fitness dance classes, South Korea Emerg. Infect. Dis. 2020 1917

[35] S. Flaxman, S. Mishra, A. Gandy, H.J.T. Unwin, T.A. Mellan, H. Coupland, C. Whittaker, H. Zhu, T. Berah, J.W. Eaton Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe Nature 2020 257 261

[36] A. Collin, B.P. Hejblum and C. Vignals, L. Lehot, R. Thiebaut, P. Moireau and M. Prague, Using a population-based Kalman estimator to model the COVID-19 epidemic in France: estimating associations between disease transmission and non-pharmaceutical interventions. Int. J. Biostat.. https://www.degruyter.com/document/doi/10.1515/ijb-2022-0087/html.

[37] M.R. Keogh-Brown, H.T. Jensen, W.J. Edmunds, R.D. Smith The impact of COVID-19, associated behaviours and policies on the UK economy: a computable general equilibrium model SSM-Popul. Health 2020 100651

[38] Korea Disease Control and Prevention Agency, Press release-regular briefing, August 10, 2021. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=716456 (accessed: March 2, 2023).

[39] Korea Disease Control and Prevention Agency, Press release-regular briefing, January 10, 2022. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=718251==view=92 (accessed: March 2, 2023).

[40] Korea Disease Control and Prevention Agency, Press release-regular briefing, january 24, 2022. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=718415==view=88 (accessed: March 2, 2023).

[41] Korea Disease Control and Prevention Agency, Public Health Weekly Report, PHWR 14 (2021). https://www.kdca.go.kr/board/board.es?mid=a20602010000=0034=716753=view (accessed February 25, 2023).

[42] Korea Disease Control and Prevention Agency, Press release-regular briefing, december 13, 2021. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=717925==view=100 (accessed March 2, 2023).

[43] Korea Disease Control and Prevention Agency, Press release-regular briefing, September 27, 2021. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=717073==view=124 (accessed March 2, 2023).

[44] Korea Disease Control and Prevention Agency, Press release-regular briefing, September 13, 2021. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=717235==view=120 (accessed March 2, 2023).

[45] Korea Disease Control and Prevention Agency, Press release-regular briefing, January 24, 2022. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=718415==view=88 (accessed March 2, 2023).

[46] 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

[47] Korea Disease Control and Prevention Agency, Public Health Weekly Report, PHWR 16 (2023). https://www.phwr.org/journal/view.html?pn=mostread=75=Full (accessed November 18, 2023).

[48] B. Dhungel, M.S. Rahman, M.M. Rahman, A.K.C. Bhandari, P.M. Le, N.A. Biva, S. Gilmour Reliability of early estimates of the basic reproduction number of COVID-19: a systematic review and meta-analysis Int. J. Environ. Res. Public Health 2022 11613

[49] World Health Organization, Transmission of SARS-COV-2: implications for infection prevention precautions: scientific brief, 09 July 2020. Technical report, World Health Organization, 2020.

[50] V. Thakur, R.K. Ratho Omicron (b.1.1.529): a new SARS-COV-2 variant of concern mounting worldwide fear J. Med. Virol. 2022 1821 1824

[51] M.-R. Ki Epidemiologic characteristics of early cases with 2019 novel coronavirus (2019-nCOV) disease in Korea Epidemiol. Health 2020 7

[52] C.-C. Lai, T.-P. Shih, W.-C. Ko, H.-J. Tang, P.-R. Hsueh Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) and coronavirus disease-2019 (COVID-19): the epidemic and the challenges Int. J. Antimicrob. Agents 2020 105924

[53] M. Sepandi, Y. Alimohamadi, F. Esmaeilzadeh Estimate of the basic reproduction number for delta variant of SARS- COV-2: a systematic review and meta-analysis J. Biostat. Epidemiol. 2022 1 7

[54] Y. Liu and J. Rocklöv, The effective reproductive number of the omicron variant of SARS-COV-2 is several times relative to delta. J. Travel Med. 29 (2022) taac037.

[55] COVID-19 response weekly news, Seoul Metropolitan Government, March 11, 2022. https://www.seoul.go.kr/seoulcom/fileDownload.do?fileName=corona/daily-news-review_220311_507.pdf (accessed April 2, 2023).

[56] J. Lopez Bernal, N. Andrews, C. Gower, E. Gallagher, R. Simmons, S. Thelwall, J. Stowe, E. Tessier, N. Groves, G. Dabrera Effectiveness of COVID-19 vaccines against the b.1.617.2 (delta) variant N. Engl. J. Med. 2021 585 594

[57] N. Andrews, J. Stowe, F. Kirsebom, S. Toffa, T. Rickeard, E. Gallagher, C. Gower, M. Kall, N. Groves, A.-M. O’Connell COVID-19 vaccine effectiveness against the omicron (b.1.1.529) variant N. Engl. J. Med. 2022 1532 1546

[58] H.F. Tseng, B.K. Ackerson, Y.L. Sy, L.S. Sy, C.A. Talarico, Y. Tian, K.J. Bruxvoort, J.E. Tubert, A. Florea, J.H. Ku Effectiveness of mrna-1273 against sars-cov-2 omicron and delta variants Nat. Med. 2022 1063 1071

[59] K.A. Twohig, T. Nyberg, A. Zaidi, S. Thelwall, M.A. Sinnathamby, S. Aliabadi, S.R. Seaman, R.J. Harris, R. Hope, J. Lopez-Bernal Hospital admission and emergency care attendance risk for SARS-COV-2 delta (b.1.617.2) compared with alpha (b.1.1.7) variants of concern: a cohort study Lancet Infect. Dis. 2022 35 42

[60] A.S. Lauring, M.W. Tenforde, J.D. Chappell, M. Gaglani, A.A. Ginde, T. Mcneal, S. Ghamande, D.J. Douin, H.K. Talbot, J.D. Casey Clinical severity of, and effectiveness of MRNA vaccines against, COVID-19 from omicron, delta, and alpha SARS-COV-2 variants in the United States: prospective observational study BMJ 2022 e069761

[61] Korea Disease Control and Prevention Agency, Press release-regular briefing, February 1, 2022. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=718518===view=89# (accessed April 2, 2023).

[62] D.H. Shin, H.S. Oh, H. Jang, S. Lee, B.S. Choi and D. Kim, Analyses of confirmed covid-19 cases among korean military personnel after mass vaccination. J. Korean Med. Sci. 37 (2022).

[63] P.Gy. Choe, Y. Kim, E. Chang, C.K. Kang, N.J. Kim, N.-H. Cho, W. B. Park and M.-d. Oh, Kinetics of neutralizing antibody responses against SARS-COV-2 delta variant in patients infected at the beginning of the pandemic. J. Korean Med. Sci. 37 (2022).

[64] S. Yi, J.M. Kim, Y.J. Choe, S. Hong, S. Choi, S.B. Ahn, M. Kim and Y.-J. Park, SARS-COV-2 delta variant breakthrough infection and onward secondary transmission in household. J. Korean Med. Sci. 37 (2022).

[65] J. Um, Y.Y. Choi, G. Kim, M.-K. Kim, K.-S. Lee, H.K. Sung, B.C. Kim, Y.-k. Lee, H.-C. Jang, J.H. Bang, et al., Booster bnt162b2 COVID-19 vaccination increases neutralizing antibody titers against the SARS-COV-2 omicron variant in both young and elderly adults. J. Korean Med. Sci. 37 (2022).

[66] Korea Disease Control and Prevention Agency. https://ncv.kdca.go.kr/menu.es?mid=a12207000000 (accessed April 2, 2023).

[67] Korea Disease Control and Prevention Agency, Press release-regular briefing, July 15, 2022. https://www.kdca.go.kr/board/board.es?mid=a20501010000=0015=713974==view=147 (accessed April 2, 2023).

[68] R.S. Mahla, L.B. Dustin, et al., Lessons from a large-scale COVID-19 vaccine trial. J. Clin. Invest. 132 (2022).

[69] H. Chemaitelly, P. Tang, M.R. Hasan, S. Almukdad, H.M. Yassine, F.M. Benslimane, H.A. Al Khatib, P. Coyle, H.H. Ayoub, Z. Al Kanaani Waning of bnt162b2 vaccine protection against SARS-COV-2 infection in Qatar N. Engl. J. Med. 2021 e83

[70] L.S. Pontryagin, Mathematical Theory of Optimal Processes. CRC Press (1987).

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