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Optimal epidemic suppression under an ICU constraint

Author

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  • Miclo, Laurent
  • Weibull, Jörgen W.
  • Spiro, Daniel

Abstract

How much and when should we limit economic and social activity to ensure that the health-care system is not overwhelmed during an epidemic? We study a setting where ICU resources are constrained and suppression is costly. Providing a fully analytical solution we show that the common wisdom of “flattening the curve”, where suppression measures are continuously taken to hold down the spread throughout the epidemic, is suboptimal. Instead, the optimal suppression is discontinuous. The epidemic should be left unregulated in a first phase and when the ICU constraint is approaching society should quickly lock down (a discontinuity). After the lockdown regulation should gradually be lifted, holding the rate of infected constant, thus respecting the ICU resources while not unnecessarily limiting economic activity. In a final phase, regulation is lifted. We call this strategy “filling the box”.

Suggested Citation

  • Miclo, Laurent & Weibull, Jörgen W. & Spiro, Daniel, 2020. "Optimal epidemic suppression under an ICU constraint," TSE Working Papers 20-1111, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:124367
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    Cited by:

    1. Christian Gollier, 2020. "Cost–benefit analysis of age‐specific deconfinement strategies," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(6), pages 1746-1771, December.
    2. Christian Gollier, 2020. "Pandemic economics: optimal dynamic confinement under uncertainty and learning," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 80-93, September.
    3. Dirk Niepelt & Mart n Gonzalez-Eiras, 2020. "Optimally Controlling an Epidemic," Diskussionsschriften dp2019, Universitaet Bern, Departement Volkswirtschaft.
    4. Miclo, Laurent & Spiro, Daniel & Weibull, Jörgen, 2022. "Optimal epidemic suppression under an ICU constraint: An analytical solution," Journal of Mathematical Economics, Elsevier, vol. 101(C).
    5. Christian Gollier, 2020. "If the Objective is Herd Immunity, on Whom Should it be Built?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 671-683, August.
    6. Giacomo Aletti & Alessandro Benfenati & Giovanni Naldi, 2021. "Graph, Spectra, Control and Epidemics: An Example with a SEIR Model," Mathematics, MDPI, vol. 9(22), pages 1-13, November.
    7. Linus Nyiwul, 2021. "Epidemic Control and Resource Allocation: Approaches and Implications for the Management of COVID-19," Studies in Microeconomics, , vol. 9(2), pages 283-305, December.
    8. Stefan Pollinger, 2023. "Optimal Contact Tracing and Social Distancing Policies to Suppress A New Infectious Disease," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2483-2503.
    9. Siddhartha Bandyopadhyay & Kalyan Chatterjee & Kaustav Das & Jaideep Roy, 2020. "Learning or habit formation? Optimal timing of lockdown for disease containment," Discussion Papers 20-17, Department of Economics, University of Birmingham.
    10. Federico, Salvatore & Ferrari, Giorgio, 2020. "Taming the Spread of an Epidemic by Lockdown Policies," Center for Mathematical Economics Working Papers 639, Center for Mathematical Economics, Bielefeld University.
    11. Acedański, Jan, 2021. "Optimal lockdown policy during the election period," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 102-117.
    12. Tommy Andersson & Albin Erlanson & Daniel Spiro & Robert Ostling, 2020. "Optimal Trade-Off Between Economic Activity and Health During an Epidemic," Papers 2005.07590, arXiv.org.
    13. Thomas Kruse & Philipp Strack, 2020. "Optimal Control of an Epidemic through Social Distancing," Cowles Foundation Discussion Papers 2229R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2020.
    14. Sandrine Spaeter, 2021. "How to Reconcile Pandemic Business Interruption Risk With Insurance Coverage," Working Papers of BETA 2021-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    15. Alessandro Basurto & Herbert Dawid & Philipp Harting & Jasper Hepp & Dirk Kohlweyer, 2023. "How to design virus containment policies? A joint analysis of economic and epidemic dynamics under the COVID-19 pandemic," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 311-370, April.
    16. Pollinger, Stefan, 2020. "Optimal Case Detection and Social Distancing Policies to Suppress COVID-19," TSE Working Papers 20-1109, Toulouse School of Economics (TSE).
    17. So Kubota, 2021. "The macroeconomics of COVID-19 exit strategy: the case of Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 651-682, October.
    18. Federico, Salvatore & Ferrari, Giorgio, 2021. "Taming the spread of an epidemic by lockdown policies," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    19. Tommy Andersson & Albin Erlanson & Robert Östling & Daniel Spiro, 2022. "A Simple Model of the Production-health Trade-off During an Epidemic," Economics Bulletin, AccessEcon, vol. 42(1), pages 224-231.
    20. Bandyopadhyay, Siddhartha & Chatterjee, Kalyan & Das, Kaustav & Roy, Jaideep, 2021. "Learning versus habit formation: Optimal timing of lockdown for disease containment," Journal of Mathematical Economics, Elsevier, vol. 93(C).

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    More about this item

    Keywords

    Epidemic; Optimal control; Health; Suppression; Infection; Corona.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D60 - Microeconomics - - Welfare Economics - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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