Incentives, lockdown, and testing: from Thucydides' analysis to the COVID-19 pandemic
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Publication:2133932
DOI10.1007/s00285-022-01736-0zbMath1487.92043arXiv2009.00484OpenAlexW4223457687WikidataQ113905385 ScholiaQ113905385MaRDI QIDQ2133932
Xavier Warin, Dylan Possamaï, Thibaut Mastrolia, Emma Hubert
Publication date: 5 May 2022
Published in: Journal of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2009.00484
Epidemiology (92D30) Macroeconomic theory (monetary models, models of taxation) (91B64) Optimal stochastic control (93E20) Principal-agent models (91B43)
Related Items (4)
Optimal lock-down intensity: a stochastic pandemic control approach of path integral ⋮ Principal-agent problem with multiple principals ⋮ Learning to mitigate epidemic risks: a dynamic population game approach ⋮ Unnamed Item
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Cites Work
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- Equilibria of an epidemic game with piecewise linear social distancing cost
- Measurability of semimartingale characteristics with respect to the probability law
- Pathwise construction of stochastic integrals
- Asymptotic behavior of global positive solution to a stochastic SIR model
- Optimal control of epidemics with limited resources
- Contract theory in continuous-time models
- Optimal tax/subsidy combinations for the flu season
- Stochastic integration and \(L^ p-\)theory of semimartingales
- Optimal isolation policies for deterministic and stochastic epidemics
- The first-order approach to the continuous-time principal-agent problem with exponential utility
- Stability of epidemic model with time delays influenced by stochastic perturbations
- A unified approach to a priori estimates for supersolutions of BSDEs in general filtrations
- Dynamic programming approach to principal-agent problems
- Asset pricing under optimal contracts
- Dynamics of a stochastic SIS epidemic model with nonlinear incidence rates
- Stochastic control for a class of nonlinear kernels and applications
- On the Lambert \(w\) function
- Beyond just ``flattening the curve: optimal control of epidemics with purely non-pharmaceutical interventions
- Permanence and extinction for the stochastic SIR epidemic model
- Parameter identification for a stochastic \textit{SEIRS} epidemic model: case study influenza
- Provisioning of public health can be designed to anticipate public policy responses
- Some non-monotone schemes for time dependent Hamilton-Jacobi-Bellman equations in stochastic control
- On the asymptotic behavior of the stochastic and deterministic models of an epidemic
- Multidimensional diffusion processes.
- Classification of Asymptotic Behavior in a Stochastic SIR Model
- Stochastic Epidemic Modeling
- A Stochastic Differential Equation SIS Epidemic Model
- A Continuous-Time Version of the Principal–Agent Problem
- An Introduction to Stochastic Epidemic Models
- Aggregation and Linearity in the Provision of Intertemporal Incentives
- On the optimal control of a deterministic epidemic
- Optimal Control of Some Simple Deterministic Epidemic Models
- An approximation scheme for the optimal control of diffusion processes
- The quasi-stationary distribution of the closed endemic sis model
- Contact rate epidemic control of COVID-19: an equilibrium view
- Heterogeneous social interactions and the COVID-19 lockdown outcome in a multi-group SEIR model
- COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability
- Optimal quarantine‐related strategies for COVID‐19 control models
- Extinction and Quasi-Stationarity for Discrete-Time, Endemic SIS and SIR Models
- Regulation of Renewable Resource Exploitation
- A Tale of a Principal and Many, Many Agents
- Optimal control of deterministic epidemics
- An optimal isolation policy for an epidemic
- Mean–field moral hazard for optimal energy demand response management
- Optimal make–take fees for market making regulation
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