Abstract
We consider the problem of controlling an SIR-model epidemic by temporarily reducing the rate of contact within a population. The control takes the form of a multiplicative reduction in the contact rate of infectious individuals. The control is allowed to be applied only over a finite time interval, while the objective is to minimize the total number of individuals infected in the long-time limit, subject to some cost function for the control. We first consider the no-cost scenario and analytically determine the optimal control and solution. We then study solutions when a cost of intervention is included, as well as a cost associated with overwhelming the available medical resources. Examples are studied through the numerical solution of the associated Hamilton-Jacobi-Bellman equation. Finally, we provide some examples related directly to the current pandemic.
Original language | English (US) |
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Journal | Journal of Mathematical Biology |
Volume | 83 |
Issue number | 1 |
DOIs | |
State | Published - Jun 26 2021 |
Bibliographical note
KAUST Repository Item: Exported on 2021-06-29Acknowledgements: The author was supported by funding from King Abdullah University of Science & Technology (KAUST).
ASJC Scopus subject areas
- Modeling and Simulation
- Applied Mathematics
- Agricultural and Biological Sciences (miscellaneous)