SIS-SEIQR adaptive network model for pandemic influenza
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Authors
Jumpen, W.
Orankitjaroen, S.
Boonkrong, P.
Wattananon, B.
Wiwatanapataphee, Benchawan
Date
2011Type
Conference Paper
Metadata
Show full item recordCitation
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.
Source Title
Proceedings of the European Computing Conference, ECC '11
ISBN
School
Department of Mathematics and Statistics
Collection
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.
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