Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay

碩士 === 國立交通大學 === 應用數學系數學建模與科學計算碩士班 === 105 === In this paper, we consider an epidemic model in well-mixed multiplex networks with distributed time delay. Specifically, the model consists of two layers of well-mixed networks, where two diffusive processes on the same individual interacting and affec...

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Main Authors: Lin, Yu-Chen, 林煜程
Other Authors: Juang, Jonq
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/5bvh2e
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spelling ndltd-TW-105NCTU55070272019-05-16T00:08:10Z http://ndltd.ncl.edu.tw/handle/5bvh2e Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay 在均勻多層次網路且有分布時滯的傳染病模型 Lin, Yu-Chen 林煜程 碩士 國立交通大學 應用數學系數學建模與科學計算碩士班 105 In this paper, we consider an epidemic model in well-mixed multiplex networks with distributed time delay. Specifically, the model consists of two layers of well-mixed networks, where two diffusive processes on the same individual interacting and affecting each other. We assume that there is a distributed time delay for an individual getting infected and no delay for an individual changing one’s status from unawareness to awareness. There are three possible equilibria E1, E2 and E3, called disease and information free equilibrium, disease free and information saturated equilibrium and endemic and information saturated equilibrium, in this model. Our main result contain the following. First, we prove the uniform persistence of the model for parameter region yielding E3. Second, it is shown that E1 is globally stable for any time delay. Third, we prove that E2 is globally stable for any time delay. Finally, With help of the uniform persistence, we shoe that there exists a H*>0 such that E3 is globally stable for time delay less than H*. Juang, Jonq 莊重 2017 學位論文 ; thesis 20 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立交通大學 === 應用數學系數學建模與科學計算碩士班 === 105 === In this paper, we consider an epidemic model in well-mixed multiplex networks with distributed time delay. Specifically, the model consists of two layers of well-mixed networks, where two diffusive processes on the same individual interacting and affecting each other. We assume that there is a distributed time delay for an individual getting infected and no delay for an individual changing one’s status from unawareness to awareness. There are three possible equilibria E1, E2 and E3, called disease and information free equilibrium, disease free and information saturated equilibrium and endemic and information saturated equilibrium, in this model. Our main result contain the following. First, we prove the uniform persistence of the model for parameter region yielding E3. Second, it is shown that E1 is globally stable for any time delay. Third, we prove that E2 is globally stable for any time delay. Finally, With help of the uniform persistence, we shoe that there exists a H*>0 such that E3 is globally stable for time delay less than H*.
author2 Juang, Jonq
author_facet Juang, Jonq
Lin, Yu-Chen
林煜程
author Lin, Yu-Chen
林煜程
spellingShingle Lin, Yu-Chen
林煜程
Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay
author_sort Lin, Yu-Chen
title Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay
title_short Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay
title_full Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay
title_fullStr Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay
title_full_unstemmed Epidemic Model in Well-Mixed Multiplex Network with Distributed Time Delay
title_sort epidemic model in well-mixed multiplex network with distributed time delay
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/5bvh2e
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