Oct 30, 2018 · Our control strategy resorts to treatment intensities to determine who to treat and when to do so to minimize the amount of infected individuals ...
Nov 30, 2018 · Most of the early work on epidemic processes [2, 5, 12, 16, 17] focused primarily on developing models for general population dynamics ...
This work is the first to cast the dynamic control problem as a series of sequential selection problems, and compares the performance of the multi-round ...
The Reed-Frost epidemic model is a simple stochastic process with parameter q that describes the spread of an infectious disease among a closed population.
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This work focuses on optimal controls and numerical approximation for a class of stochastic epidemic models under regime switching.
Jan 30, 2021 · In this article, we propose an optimal control scheme for information epidemics with stochastic uncertainties aiming at maximizing information diffusion.
An optimal control problem for a susceptible → infective → removal type epidemic process is formulated and then it is shown how a control procedure can be ...
Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018 - Networks-Learning/disease-control.
Apr 29, 2024 · This work explores the effectiveness of disease management strategies derived using optimal control theory when applied to a more realistic, stochastic form of ...
Abstract—The optimal control of epidemic-like stochastic processes is important both historically and for emerging applications today, where it can.