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Optimal vaccination strategies using a distributed model applied to COVID-19

Author

Listed:
  • Georgi Angelov

    (Vienna University of Technology)

  • Raimund Kovacevic

    (University for Continuing Education Krems)

  • Nikolaos I. Stilianakis

    (Joint Research Centre (JRC)
    University of Erlangen-Nuremberg)

  • Vladimir M. Veliov

    (Vienna University of Technology)

Abstract

Optimal distribution of vaccines to achieve high population immunity levels is a desirable aim in infectious disease epidemiology. A distributed optimal control epidemiological model that accounts for vaccination was developed and applied to the case of the COVID-19 pandemic. The model proposed here is nonstandard and takes into account the heterogeneity of the infected sub-population with respect to the time since infection, which is essential in the case of COVID-19. Based on the epidemiological characteristics of COVID-19 we analyze several vaccination scenarios and an optimal vaccination policy. In particular we consider random vaccination over the whole population and the prioritization of age groups such as the elderly and compare the effects with the optimal solution. Numerical results of the model show that random vaccination is efficient in reducing the overall number of infected individuals. Prioritization of the elderly leads to lower mortality though. The optimal strategy in terms of total deaths is early prioritization of those groups having the highest contact rates.

Suggested Citation

  • Georgi Angelov & Raimund Kovacevic & Nikolaos I. Stilianakis & Vladimir M. Veliov, 2023. "Optimal vaccination strategies using a distributed model applied to COVID-19," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 499-521, June.
    • Handle: RePEc:spr:cejnor:v:31:y:2023:i:2:d:10.1007_s10100-022-00819-z
    DOI: 10.1007/s10100-022-00819-z
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    References listed on IDEAS

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    1. Carlo Signorelli & Anna Odone, 2020. "Age-specific COVID-19 case-fatality rate: no evidence of changes over time," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(8), pages 1435-1436, November.
    2. Caulkins, Jonathan P. & Grass, Dieter & Feichtinger, Gustav & Hartl, Richard F. & Kort, Peter M. & Prskawetz, Alexia & Seidl, Andrea & Wrzaczek, Stefan, 2021. "The optimal lockdown intensity for COVID-19," Journal of Mathematical Economics, Elsevier, vol. 93(C).
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    Cited by:

    1. González-Parra, Gilberto & Villanueva-Oller, Javier & Navarro-González, F.J. & Ceberio, Josu & Luebben, Giulia, 2024. "A network-based model to assess vaccination strategies for the COVID-19 pandemic by using Bayesian optimization," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    2. Péter Biró & Sándor Bozóki & Tamás Király & Alexandru Kristály, 2024. "Optimization methods and algorithms," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(1), pages 1-9, March.

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