Publication:
SIS-SEIQR adaptive network model for pandemic influenza

Issued Date

2011-09-29

Resource Type

Conference Paper

Other identifier(s)

2-s2.0-79960106726

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

Proceedings of the European Computing Conference, ECC '11. (2011), 147-151

Suggested Citation

Wannika Jumpen, Somsak Orankitjaroen, Pichit Boonkrong, Boonmee Wattananon, Benchawan Wiwatanapataphee SIS-SEIQR adaptive network model for pandemic influenza. Proceedings of the European Computing Conference, ECC '11. (2011), 147-151. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/11771

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Title

SIS-SEIQR adaptive network model for pandemic influenza

Author(s)

Wannika Jumpen
 Somsak Orankitjaroen
 Pichit Boonkrong
 Boonmee Wattananon
 Benchawan Wiwatanapataphee

Other Contributor(s)

Mahidol University
 South Carolina Commission on Higher Education

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.

Keyword(s)

Computer Science
 Mathematics

Availability

URI

https://repository.li.mahidol.ac.th/handle/20.500.14594/11771

Collections

Scopus 2011-2015