Abstract

As of mid-2020, eradicating COVID-19 seems not to be an option, at least in the short term. The challenge for policy makers consists of implementing a suitable approach to contain the outbreak and limit extra deaths without exhausting healthcare forces while mitigating the impact on the country's economy and on individuals' well-being. To better describe the trade-off between the economic, societal and public health dimensions, we developed an integrated bioeconomic optimization approach. We built a discrete age-structured model considering three main populations (youth, adults and seniors) and 8 socio-professional characteristics for the adults. Fifteen lockdown exit strategies were simulated for several options: abrupt or progressive (4 or 8 weeks) lockdown lift followed by total definitive transitory final unlocking. Three values of transmission rate (Tr) were considered to represent individuals' barrier gesture compliance. Optimization under constraint to find the best combination of scenarios and options was performed on the minimal total cost for production losses due to contracted activities and hospitalization in the short and mid-term, with 3 criteria: mortality, person-days locked and hospital saturation. The results clearly show little difference between the scenarios based on the economic impact or the 3 criteria. This means that policy makers should focus on individuals' behaviors (represented by the Tr value) more than on trying to optimize the lockdown strategy (defining who is unlocked and who is locked). For a given Tr, the choices of scenarios permit the management of the hospital saturation level with regard to both its intensity and its duration, which remains a key point for public health. The results highlight the need for behavioral or experimental economics to address COVID-19 issues through a better understanding of individual behavior motivations and the identification of ways to improve biosecurity compliance.

Highlights

  • Coronavirus disease 2019 (COVID-19) represents a change in paradigm for our society and the health care system

  • The present work is the first long-term bioeconomic multicriteria optimization approach applied to COVID-19 at a local scale and was conceived to support decision-making regarding public health policy

  • Various criteria were considered within the economic part of the model, and the epidemiologic complexity of the situation was simplified

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Summary

Introduction

Coronavirus disease 2019 (COVID-19) represents a change in paradigm for our society and the health care system. The challenge for policy makers consists of implementing a suitable approach that contains the outbreak, limits extra. COVID-19 Lockdown Exit Optimization deaths, and avoids the exhaustion of healthcare forces while mitigating the impact on the country’s economy and on individuals’ well-being [2]. This means considering several competing objectives at the same time and continuously adapting the strategy and rules. Epidemiologic and bioeconomic modeling provide a scientific background for evidence-based policy to be implemented in the societal, economic, and public health dimensions

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