Author: Ferreyra, Emanuel Javier; Jonckheere, Matthieu; Pinasco, Juan Pablo
Title: SIR dynamics with Vaccination in a large Configuration Model Cord-id: pepgd70t Document date: 2019_12_27
ID: pepgd70t
Snippet: We consider an epidemic SIR model with vaccination strategy (both centralized and individual) on a sparse configuration model random graph. We show convergence and characterized the scaling limits of the system when the number of odes grows. Then, we study and characterize the optimal controls for the limiting equations formulated as in the framework of game theory both in the centralized and decentralized setting. Finally, we show how the characteristics of the graphs influence the vaccination
Document: We consider an epidemic SIR model with vaccination strategy (both centralized and individual) on a sparse configuration model random graph. We show convergence and characterized the scaling limits of the system when the number of odes grows. Then, we study and characterize the optimal controls for the limiting equations formulated as in the framework of game theory both in the centralized and decentralized setting. Finally, we show how the characteristics of the graphs influence the vaccination efficiency for optimal strategies.
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