Chiang Mai Journal of Science

A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network

Paper Type	Contributed Paper
Title	A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network
Author	Pichit Boonkrong*[a] and Teerawat Simmachan [b]
Email	pichit.bk@gmail.com
Abstract:  In this paper, a multigroup SEIR epidemic model with vaccination is firstly introduced and its basic reproduction number is derived for epidemiological prediction. An algorithm to generate complex network representing heterogeneous structure of individuals is heuristically proposed. The network degree observed from the presented algorithm is normally distributed at significance level 0.05. Community detection method based on genetic algorithm for optimizing network modularity is used to partition individuals into appropriate communities. In numerical simulation on complex network, the disease transmissions within community and across communities are considered. Tukey’s HSD test indicates that different vaccination levels have significant effect on number of infected cases at significance level 0.05.
Start & End Page	897 - 903
Received Date	2014-12-15
Revised Date
Accepted Date	2015-03-25
Full Text	Download
Keyword	heterogeneous network, multigroup epidemic model, multiple comparison test, network algorithm, vaccination
Volume	Vol.43 No.4 (JULY 2016)
DOI
Citation	Boonkrong P. and Simmachan T., A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network , Chiang Mai J. Sci., 2016; 43(4): 897-903.
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