SEIQR-SIS epidemic network model and its stability

SEIQR-SIS epidemic network model and its stability

In this paper, we propose an SEIQR-SIS epidemic network model to study pandemic influenza and derive the approximate threshold condition (basis reproductive number) to examine the stability of the model. The numerical simulation of the disease transmission in the adaptive social network with people...

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Main Authors: Wannika Jumpen, Somsak Orankitjaroen, Pichit Boonkrong, Benchawan Wiwatanapataphee
Other Authors: Mahidol University
Format: Article
Published: 2018
Subjects:
Computer Science
Mathematics
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/11789
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Institution: Mahidol University
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spelling th-mahidol.117892018-05-03T15:20:03Z SEIQR-SIS epidemic network model and its stability Wannika Jumpen Somsak Orankitjaroen Pichit Boonkrong Benchawan Wiwatanapataphee Mahidol University Computer Science Mathematics In this paper, we propose an SEIQR-SIS epidemic network model to study pandemic influenza and derive the approximate threshold condition (basis reproductive number) to examine the stability of the model. The numerical simulation of the disease transmission in the adaptive social network with people nodes and hub nodes is presented. The network parameters including visiting probability, hub radius and contact radius are used to investigate their impacts on the disease transmission. Our results show that these network parameters have a significant effect on the disease spread. 2018-05-03T08:09:13Z 2018-05-03T08:09:13Z 2011-07-13 Article International Journal of Mathematics and Computers in Simulation. Vol.5, No.4 (2011), 326-333 19980159 2-s2.0-79960081287 https://repository.li.mahidol.ac.th/handle/123456789/11789 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960081287&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
Mathematics
spellingShingle Computer Science
Mathematics
Wannika Jumpen
Somsak Orankitjaroen
Pichit Boonkrong
Benchawan Wiwatanapataphee
SEIQR-SIS epidemic network model and its stability
description In this paper, we propose an SEIQR-SIS epidemic network model to study pandemic influenza and derive the approximate threshold condition (basis reproductive number) to examine the stability of the model. The numerical simulation of the disease transmission in the adaptive social network with people nodes and hub nodes is presented. The network parameters including visiting probability, hub radius and contact radius are used to investigate their impacts on the disease transmission. Our results show that these network parameters have a significant effect on the disease spread.
author2 Mahidol University
author_facet Mahidol University
Wannika Jumpen
Somsak Orankitjaroen
Pichit Boonkrong
Benchawan Wiwatanapataphee
format Article
author Wannika Jumpen
Somsak Orankitjaroen
Pichit Boonkrong
Benchawan Wiwatanapataphee
author_sort Wannika Jumpen
title SEIQR-SIS epidemic network model and its stability
title_short SEIQR-SIS epidemic network model and its stability
title_full SEIQR-SIS epidemic network model and its stability
title_fullStr SEIQR-SIS epidemic network model and its stability
title_full_unstemmed SEIQR-SIS epidemic network model and its stability
title_sort seiqr-sis epidemic network model and its stability
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/11789
_version_ 1763490590133059584

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