SIS-SEIQR adaptive network model for pandemic influenza
| dc.contributor.author | Jumpen, W. | |
| dc.contributor.author | Orankitjaroen, S. | |
| dc.contributor.author | Boonkrong, P. | |
| dc.contributor.author | Wattananon, B. | |
| dc.contributor.author | Wiwatanapataphee, Benchawan | |
| dc.date.accessioned | 2017-01-30T11:10:03Z | |
| dc.date.available | 2017-01-30T11:10:03Z | |
| dc.date.created | 2015-10-29T04:09:50Z | |
| dc.date.issued | 2011 | |
| dc.identifier.citation | Jumpen, W. and Orankitjaroen, S. and Boonkrong, P. and Wattananon, B. and Wiwatanapataphee, B. 2011. SIS-SEIQR adaptive network model for pandemic influenza, pp. 147-151. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/9026 | |
| dc.description.abstract |
This paper aims to present an SIS-SEIQR network model for pandemic influenza. We propose a network algorithm to generate an adaptive social network with dynamic hub nodes to capture the disease transmission in a human community. Effects of visiting probability on the spread of the disease are investigated. The results indicate that high visiting probability increases the transmission rate of the disease. | |
| dc.title | SIS-SEIQR adaptive network model for pandemic influenza | |
| dc.type | Conference Paper | |
| dcterms.source.startPage | 147 | |
| dcterms.source.endPage | 151 | |
| dcterms.source.title | Proceedings of the European Computing Conference, ECC '11 | |
| dcterms.source.series | Proceedings of the European Computing Conference, ECC '11 | |
| dcterms.source.isbn | 9789604742974 | |
| curtin.department | Department of Mathematics and Statistics | |
| curtin.accessStatus | Fulltext not available |
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