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dc.contributor.authorOrankitjaroen, S.
dc.contributor.authorJumpen, W.
dc.contributor.authorBoonkrong, P.
dc.contributor.authorWiwatanapataphee, B.
dc.contributor.authorWu, Yong Hong
dc.contributor.editorNikos Mastorakis
dc.contributor.editorValeri Mladenov
dc.contributor.editorZoran Bojkovic
dc.date.accessioned2017-01-30T12:24:45Z
dc.date.available2017-01-30T12:24:45Z
dc.date.created2015-03-03T20:17:30Z
dc.date.issued2012
dc.identifier.citationOrankitjaroen, S. and Jumpen, W. and Boonkrong, P. and Wiwatanapataphee, B. and Wu, Y.H. 2012. SEIQR-Network Model with Community Structure, in Mastorakis, N. and Valeri Mladenov, V. and Bojkovic, Z. (ed), Proceedings of The 12th WSEAS International Conference on Applied Computer Science, May 11-13 2012, pp. 95-100. Singapore: WSEAS Press.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/21350
dc.description.abstract

This paper presents numerical simulation of the Susceptible-Exposed-Infectious-Quarantined-Recovered network model taking into account the community structure of the population. Numerical simulation of the disease transmission within and across the communities has been carried out. The effects of neighborhood radius, transmission rate and quarantine rate on the disease transmission are investigated.

dc.publisherWSEAS Press
dc.relation.urihttp://www.wseas.us/e-library/conferences/2012/Singapore/ACCIDS/ACCIDS-15.pdf
dc.titleSEIQR-Network Model with Community Structure
dc.typeConference Paper
dcterms.source.startPage95
dcterms.source.endPage100
dcterms.source.issn1790-5109
dcterms.source.titleLatest Advances in Information Science and Application
dcterms.source.seriesLatest Advances in Information Science and Application
dcterms.source.conferenceThe 12th WSEAS International Conference on Applied Computer Science
dcterms.source.conference-start-dateMay 11 2012
dcterms.source.conferencelocationSingapore
dcterms.source.placeSingapore
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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