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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/5bvh2e |
id |
ndltd-TW-105NCTU5507027 |
---|---|
record_format |
oai_dc |
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 |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
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 |
work_keys_str_mv |
AT linyuchen epidemicmodelinwellmixedmultiplexnetworkwithdistributedtimedelay AT línyùchéng epidemicmodelinwellmixedmultiplexnetworkwithdistributedtimedelay AT linyuchen zàijūnyúnduōcéngcìwǎnglùqiěyǒufēnbùshízhìdechuánrǎnbìngmóxíng AT línyùchéng zàijūnyúnduōcéngcìwǎnglùqiěyǒufēnbùshízhìdechuánrǎnbìngmóxíng |
_version_ |
1719161430011281408 |