Optimal control of a dengue model with cross-immunity

IF 1.7 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Mathematics in Industry Pub Date : 2024-07-05 DOI:10.1186/s13362-024-00150-z
Bernd Kugelmann, Roland Pulch
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Abstract

Mathematical modelling of a dengue epidemic with two serotypes including a temporary cross-immunity yields a nonlinear system consisting of ordinary differential equations (ODEs). We investigate an optimal control problem, where the integral of the infected humans is minimised within a time interval. The controls represent human actions to decrease the number of mosquitos in the model. An integral constraint is added, which takes a limitation on the sum of the human actions into account. On the one hand, we derive and apply a direct approach to solve the optimal control problem. Therein, a discretisation of the controls is constructed using spline interpolation in time. Consequently, a finite-dimensional constrained minimisation problem can be solved. On the other hand, we employ an indirect approach, where necessary conditions for an optimal solution are considered. This technique yields a multipoint boundary value problem of a larger system of ODEs including adjoint equations. We present results of numerical computations, where the two methods are compared.
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具有交叉免疫的登革热模型的优化控制
登革热疫情有两种血清型,其中包括暂时性交叉免疫,这种疫情的数学模型产生了一个由常微分方程(ODE)组成的非线性系统。我们研究了一个最优控制问题,即在一定时间间隔内受感染人类的积分最小化。控制表示人类减少模型中蚊子数量的行动。我们加入了一个积分约束,它考虑到了对人类行动总和的限制。一方面,我们推导并应用直接方法来解决最优控制问题。在此过程中,我们使用时间样条插值法对控制进行离散化处理。因此,可以求解有限维度的受限最小化问题。另一方面,我们采用了一种间接方法,即考虑最优解的必要条件。这种技术可以求解包括邻接方程在内的较大 ODEs 系统的多点边界值问题。我们介绍了数值计算的结果,并对两种方法进行了比较。
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来源期刊
Journal of Mathematics in Industry
Journal of Mathematics in Industry MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.00
自引率
0.00%
发文量
12
审稿时长
13 weeks
期刊最新文献
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