Transmission dynamics and optimal control of brucellosis in Inner Mongolia of China

A multigroup model is developed to characterize brucellosis transmission, to explore potential effects of key factors, and to prioritize control measures. The global threshold dynamics are completely characterized by theory of asymptotic autonomous systems and Lyapunov direct method. We then formula...

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Main Authors: Linhua Zhou, Meng Fan, Qiang Hou, Zhen Jin, Xiangdong Sun
Format: Article
Language:English
Published: AIMS Press 2018-03-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2018025
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author Linhua Zhou
Meng Fan
Qiang Hou
Zhen Jin
Xiangdong Sun
author_facet Linhua Zhou
Meng Fan
Qiang Hou
Zhen Jin
Xiangdong Sun
author_sort Linhua Zhou
collection DOAJ
description A multigroup model is developed to characterize brucellosis transmission, to explore potential effects of key factors, and to prioritize control measures. The global threshold dynamics are completely characterized by theory of asymptotic autonomous systems and Lyapunov direct method. We then formulate a multi-objective optimization problem and, by the weighted sum method, transform it into a scalar optimization problem on minimizing the total cost for control. The existence of optimal control and its characterization are well established by Pontryagin's Maximum Principle. We further parameterize the model and compute optimal control strategy for Inner Mongolia in China. In particular, we expound the effects of sheep recruitment, vaccination of sheep, culling of infected sheep, and health education of human on the dynamics and control of brucellosis. This study indicates that current control measures in Inner Mongolia are not working well and Brucellosis will continue to increase. The main finding here supports opposing unregulated sheep breeding and suggests vaccination and health education as the preferred necessary emergency intervention control. The policymakers must take a new look at the current control strategy, and, in order to control brucellosis better in Inner Mongolia, the governments have to preemptively press ahead with more effective measures.
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spelling doaj-art-ace77ba1fb7c4f01abfeefc596d9844e2025-01-24T02:40:45ZengAIMS PressMathematical Biosciences and Engineering1551-00182018-03-0115254356710.3934/mbe.2018025Transmission dynamics and optimal control of brucellosis in Inner Mongolia of ChinaLinhua Zhou0Meng Fan1Qiang Hou2Zhen Jin3Xiangdong Sun4Department of Applied Mathematics, School of Science, Changchun University of Science and Technology, Changchun 130022, ChinaSchool of Mathematics and Statistics, Northeast Normal University, Changchun 130024, ChinaSchool of Mechatronic Engineering, North University of China, Taiyuan 030051, ChinaComplex Systems Research Center, Shanxi University Taiyuan 030006, ChinaChina Animal Health And Epidemiology Center, Qingdao 266032, ChinaA multigroup model is developed to characterize brucellosis transmission, to explore potential effects of key factors, and to prioritize control measures. The global threshold dynamics are completely characterized by theory of asymptotic autonomous systems and Lyapunov direct method. We then formulate a multi-objective optimization problem and, by the weighted sum method, transform it into a scalar optimization problem on minimizing the total cost for control. The existence of optimal control and its characterization are well established by Pontryagin's Maximum Principle. We further parameterize the model and compute optimal control strategy for Inner Mongolia in China. In particular, we expound the effects of sheep recruitment, vaccination of sheep, culling of infected sheep, and health education of human on the dynamics and control of brucellosis. This study indicates that current control measures in Inner Mongolia are not working well and Brucellosis will continue to increase. The main finding here supports opposing unregulated sheep breeding and suggests vaccination and health education as the preferred necessary emergency intervention control. The policymakers must take a new look at the current control strategy, and, in order to control brucellosis better in Inner Mongolia, the governments have to preemptively press ahead with more effective measures.https://www.aimspress.com/article/doi/10.3934/mbe.2018025brucellosisepidemic modeldynamical analysisglobal stabilityoptimal control
spellingShingle Linhua Zhou
Meng Fan
Qiang Hou
Zhen Jin
Xiangdong Sun
Transmission dynamics and optimal control of brucellosis in Inner Mongolia of China
Mathematical Biosciences and Engineering
brucellosis
epidemic model
dynamical analysis
global stability
optimal control
title Transmission dynamics and optimal control of brucellosis in Inner Mongolia of China
title_full Transmission dynamics and optimal control of brucellosis in Inner Mongolia of China
title_fullStr Transmission dynamics and optimal control of brucellosis in Inner Mongolia of China
title_full_unstemmed Transmission dynamics and optimal control of brucellosis in Inner Mongolia of China
title_short Transmission dynamics and optimal control of brucellosis in Inner Mongolia of China
title_sort transmission dynamics and optimal control of brucellosis in inner mongolia of china
topic brucellosis
epidemic model
dynamical analysis
global stability
optimal control
url https://www.aimspress.com/article/doi/10.3934/mbe.2018025
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AT qianghou transmissiondynamicsandoptimalcontrolofbrucellosisininnermongoliaofchina
AT zhenjin transmissiondynamicsandoptimalcontrolofbrucellosisininnermongoliaofchina
AT xiangdongsun transmissiondynamicsandoptimalcontrolofbrucellosisininnermongoliaofchina