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dc.contributor.authorJumpen, W.
dc.contributor.authorOrankitjaroen, S.
dc.contributor.authorBoonkrong, P.
dc.contributor.authorWattananon, B.
dc.contributor.authorWiwatanapataphee, Benchawan
dc.identifier.citationJumpen, 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.

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.titleSIS-SEIQR adaptive network model for pandemic influenza
dc.typeConference Paper
dcterms.source.titleProceedings of the European Computing Conference, ECC '11
dcterms.source.seriesProceedings of the European Computing Conference, ECC '11
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available

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