Optimal Control for a SIR Epidemic Model with Nonlinear Incidence Rate
The goal of this paper is to explore the impact of non-linearity of functional responses on the optimal control of infectious diseases. In order to address this issue, we consider a problem of minimization of the level of infection at the terminal time for a controlled SIR model, where the incidence...
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Published in | Mathematical modelling of natural phenomena Vol. 11; no. 4; pp. 89 - 104 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Les Ulis
EDP Sciences
01.01.2016
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Subjects | |
Online Access | Get full text |
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Summary: | The goal of this paper is to explore the impact of non-linearity of functional responses on the optimal control of infectious diseases. In order to address this issue, we consider a problem of minimization of the level of infection at the terminal time for a controlled SIR model, where the incidence rate is given by a non-linear unspecified function f(S,I). In this model we consider four distinctive control policies: the vaccination of the newborn and the susceptible individuals, isolation of the infected individuals, and an indirect policy aimed at reduction of the transmission. The Pontryagin maximum principle is used for the problem analysis. In this problem we prove that the optimal controls are bang-bang functions. Then, the maximum possible number of switchings of these controls is found. Based on this, we describe the possible behavior of the optimal controls. |
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Bibliography: | PII:S1760610116114072 istex:9DA1ED46286023E1EB23BCEC58A8EF89DB36939F publisher-ID:mmnp2016114p89 ark:/67375/80W-DW9VPJSW-S |
ISSN: | 1760-6101 0973-5348 1760-6101 |
DOI: | 10.1051/mmnp/201611407 |