Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection Rate

This paper mainly addresses the issue of how to effectively inhibit viral spread by means of dynamic countermeasure. To this end, a controlled node-level model with nonlinear infection and countermeasure rates is established. On this basis, an optimal control problem capturing the dynamic countermea...

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Main Authors: Xulong Zhang, Chenquan Gan
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2017/2836865
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author Xulong Zhang
Chenquan Gan
author_facet Xulong Zhang
Chenquan Gan
author_sort Xulong Zhang
collection DOAJ
description This paper mainly addresses the issue of how to effectively inhibit viral spread by means of dynamic countermeasure. To this end, a controlled node-level model with nonlinear infection and countermeasure rates is established. On this basis, an optimal control problem capturing the dynamic countermeasure is proposed and analyzed. Specifically, the existence of an optimal dynamic countermeasure scheme and the corresponding optimality system are shown theoretically. Finally, some numerical examples are given to illustrate the main results, from which it is found that (1) the proposed optimal strategy can achieve a low level of infections at a low cost and (2) adjusting nonlinear infection and countermeasure rates and tradeoff factor can be conductive to the containment of virus propagation with less cost.
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institution Kabale University
issn 1026-0226
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language English
publishDate 2017-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-db8a554b72a241ea9363d90ab54b94682025-02-03T05:57:10ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2017-01-01201710.1155/2017/28368652836865Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection RateXulong Zhang0Chenquan Gan1College of Computer Science, Chongqing University, Chongqing 400044, ChinaCollege of Computer Science, Chongqing University, Chongqing 400044, ChinaThis paper mainly addresses the issue of how to effectively inhibit viral spread by means of dynamic countermeasure. To this end, a controlled node-level model with nonlinear infection and countermeasure rates is established. On this basis, an optimal control problem capturing the dynamic countermeasure is proposed and analyzed. Specifically, the existence of an optimal dynamic countermeasure scheme and the corresponding optimality system are shown theoretically. Finally, some numerical examples are given to illustrate the main results, from which it is found that (1) the proposed optimal strategy can achieve a low level of infections at a low cost and (2) adjusting nonlinear infection and countermeasure rates and tradeoff factor can be conductive to the containment of virus propagation with less cost.http://dx.doi.org/10.1155/2017/2836865
spellingShingle Xulong Zhang
Chenquan Gan
Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection Rate
Discrete Dynamics in Nature and Society
title Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection Rate
title_full Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection Rate
title_fullStr Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection Rate
title_full_unstemmed Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection Rate
title_short Optimal and Nonlinear Dynamic Countermeasure under a Node-Level Model with Nonlinear Infection Rate
title_sort optimal and nonlinear dynamic countermeasure under a node level model with nonlinear infection rate
url http://dx.doi.org/10.1155/2017/2836865
work_keys_str_mv AT xulongzhang optimalandnonlineardynamiccountermeasureunderanodelevelmodelwithnonlinearinfectionrate
AT chenquangan optimalandnonlineardynamiccountermeasureunderanodelevelmodelwithnonlinearinfectionrate