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Research Article | Open Access

Optimal impulse control of West Nile virus

Folashade Agusto1Daniel Bond2Adira Cohen3Wandi Ding4Rachel Leander4( )Allis Royer5
Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS
Department of Mathematics and Statistics, Mississippi State University, Mississippi State, MS
Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA
Department of Mathematical Sciences, Computational and Data Sciences Program, Middle Tennessee State University, Murfreesboro, TN
Department of Mathematics & Statistical Sciences, Jackson State University, Jackson, MS
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Abstract

We construct a West Nile virus epidemic model that includes the interaction between the bird hosts and mosquito vectors, mosquito life stages (eggs, larvae, adults), and the dynamics of both larvicide and adulticide. We derive the basic reproduction number for the epidemic as the spectral radius of the next generation matrix. We formulate two impulsive optimal control problems which seek to balance the cost of insecticide applications (both the timing and application level) with the benefit of (1) vector control: reducing the number of mosquitoes or (2) disease control: reducing the disease burden. We reformulate these impulsive optimal control problems as nonlinear optimization problems and derive associated necessary conditions for the optimal controls. Numerical simulations are used to address three questions: How does the control and its impact on the system vary with the objective type? Is it beneficial to optimize the treatment timing? How does the control and its impact on the population vary with the type of pesticide used?

CLC number: 49N25, 49K15, 92D30, 92B05

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AIMS Mathematics
Pages 19597-19628

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Cite this article:
Agusto F, Bond D, Cohen A, et al. Optimal impulse control of West Nile virus. AIMS Mathematics, 2022, 7(10): 19597-19628. https://doi.org/10.3934/math.20221075

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Received: 30 June 2022
Revised: 21 August 2022
Accepted: 31 August 2022
Published: 15 October 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)