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Article Dans Une Revue Journal of Mathematical Economics Année : 2022

Optimal epidemic suppression under an ICU constraint: an analytical solution

Résumé

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 while suppression is costly (e.g., limiting economic interaction). 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 discountinuous. 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". * We wish to thank Tommy Andersson, Hannes Malmberg and Robert Östling for valuable comments.
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Dates et versions

hal-02563023 , version 1 (05-05-2020)
hal-02563023 , version 2 (18-08-2022)

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Laurent Miclo, Daniel Spiro, Jörgen Weibull. Optimal epidemic suppression under an ICU constraint: an analytical solution. Journal of Mathematical Economics, 2022, 101, pp.102669. ⟨10.1016/j.jmateco.2022.102669⟩. ⟨hal-02563023v2⟩
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