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An optimal control model with cost effectiveness analysis of Maize streak virus disease in maize plant

机译:玉米植物玉米条纹病毒病成本效能分析的最优控制模型

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摘要

In this paper we formulated and analyzed an optimal deterministic eco-epidemiological model for the dynamics of maize streak virus (MSV) and examine the best strategy to fight maize population from maize streak disease (MSD). The optimal control model is developed with three control interventions, namely prevention (u1), quarantine (u2) and chemical control (u3). To achieve an optimal control strategy, we used the Pontryagin’s maximum principle obtain the Hamiltonian, the adjoint variables, the characterization of the controls and the optimality system. Numerical simulations are performed using Forward-backward sweep iterative method. The findings show that each integrated strategy is able to mitigate the disease in the specified time. However due to limited resources, it is important to find a cost-effective strategy. Using Incremental Cost-Effectiveness Ratio(ICER) a cost-effectiveness analysis is investigated and determined that the combination of prevention and quarantine is the best cost-effective strategy from the other integrated strategies. Therefore, policymakers and stakeholders should apply the integrated intervention to stop the spread of MSV in the maize population.
机译:在本文中,我们制定并分析了玉米条纹病毒(MSV)动态的最佳确定性生态流行病学模型,并研究了从玉米条纹疾病(MSD)对抗玉米人群的最佳策略。最佳控制模型具有三种控制干预,即预防(U1),隔离(U2)和化学控制(U3)。为了实现最佳控制策略,我们使用Pontryagin的最大原理获得了Hamiltonian,伴随变量,控制的表征和最优系统。使用前后扫描迭代方法执行数值模拟。调查结果表明,每个综合策略能够在特定时间内减轻疾病。但由于资源有限,找到具有成本效益的策略非常重要。使用增量成本效益率(ICER)调查并确定预防和检疫的结合是来自其他综合战略的最佳成本效益的策略。因此,政策制定者和利益攸关方应适用于综合干预以阻止MSV在玉米人口中的传播。

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