On the Optimal Control of Vaccination and treatments for an SIR-Epidemic model with Infected Immigrants

Pub Date : 2016-08-23 DOI:10.4172/2168-9679.1000230
E. A. Bakare
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引用次数: 10

Abstract

This paper is proposed to study rigorously the optimal control of vaccination and treatments for an SIR(Susceptible-Infected-Recovered) Epidemic model with infected immigrants. The impact of infected immigrants is studied in order to understand and assess its influence on the transmission dynamics for an SIR(Susceptible-Infected-Recovered) Epidemic model. The main goal of this work is to find the optimal treatment and vaccination strategies in combination that will minimize the cost of vaccination and treatment as well as the number of infective and to measure the influence of the flow of infected immigrants in the transmission of disease in a population.Qualitative and quantitative analysis of the model with respect to stability of the disease free equilibrium and endemic equilibrium under the influence of the two control strategies are carried out.It is established that in the absence of infected immigrants the disease free equilibrium exist and is locally asymptotically stable. Hence, the optimal interventions for the disease control using Pontryagin’s Maximum Principle( PMP) are illustrated and various numerical simulations are performed to discuss the solution.
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带有移民感染的sir流行病模型疫苗接种的最优控制与治疗
本文旨在研究具有感染移民的SIR(易感-感染-恢复)流行病模型的疫苗接种和治疗的最优控制问题。研究受感染移民的影响,以了解和评估其对SIR(易感-感染-恢复)流行病模型的传播动力学的影响。这项工作的主要目标是找到最佳的治疗和疫苗接种策略,以最大限度地减少疫苗接种和治疗的成本以及感染人数,并衡量受感染移民流动对人群中疾病传播的影响。对模型在两种控制策略影响下的无病平衡和地方病平衡的稳定性进行了定性和定量分析。证明了在无感染移民存在的情况下,无病平衡是局部渐近稳定的。因此,利用庞特里亚金最大原理(PMP)说明了疾病控制的最佳干预措施,并进行了各种数值模拟来讨论解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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