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...
| Main Authors: | , , , |
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| Format: | Journal Article |
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2011
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| Online Access: | http://www.naun.org/main/NAUN//mcs/20-818.pdf http://hdl.handle.net/20.500.11937/17707 |
| _version_ | 1848749535517474816 |
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| author | Jumpen, W. Orankitjaroen, S. Boonkrong, P. Wiwatanapataphee, Benchawan |
| author_facet | Jumpen, W. Orankitjaroen, S. Boonkrong, P. Wiwatanapataphee, Benchawan |
| author_sort | Jumpen, W. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T07:22:29Z |
| format | Journal Article |
| id | curtin-20.500.11937-17707 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:22:29Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-177072017-01-30T12:03:33Z SEIQR-SIS epidemic network model and its stability Jumpen, W. Orankitjaroen, S. Boonkrong, P. Wiwatanapataphee, Benchawan 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. 2011 Journal Article http://hdl.handle.net/20.500.11937/17707 http://www.naun.org/main/NAUN//mcs/20-818.pdf restricted |
| spellingShingle | Jumpen, W. Orankitjaroen, S. Boonkrong, P. Wiwatanapataphee, Benchawan SEIQR-SIS epidemic network model and its stability |
| title | 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_short | SEIQR-SIS epidemic network model and its stability |
| title_sort | seiqr-sis epidemic network model and its stability |
| url | http://www.naun.org/main/NAUN//mcs/20-818.pdf http://hdl.handle.net/20.500.11937/17707 |