A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network

A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network

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 degr...

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Main Authors: Pichit Boonkrong, Teerawat Simmachan
Format: บทความวารสาร
Language:English
Published: Science Faculty of Chiang Mai University 2019
Online Access:http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=7077
http://cmuir.cmu.ac.th/jspui/handle/6653943832/63788
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-637882019-05-07T09:57:18Z A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network Pichit Boonkrong Teerawat Simmachan 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. 2019-05-07T09:57:18Z 2019-05-07T09:57:18Z 2016 บทความวารสาร 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=7077 http://cmuir.cmu.ac.th/jspui/handle/6653943832/63788 Eng Science Faculty of Chiang Mai University
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description 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.
format บทความวารสาร
author Pichit Boonkrong
Teerawat Simmachan
spellingShingle Pichit Boonkrong
Teerawat Simmachan
A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network
author_facet Pichit Boonkrong
Teerawat Simmachan
author_sort Pichit Boonkrong
title A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network
title_short A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network
title_full A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network
title_fullStr A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network
title_full_unstemmed A Multigroup SEIR Epidemic Model with Vaccination on Heterogeneous Network
title_sort multigroup seir epidemic model with vaccination on heterogeneous network
publisher Science Faculty of Chiang Mai University
publishDate 2019
url http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=7077
http://cmuir.cmu.ac.th/jspui/handle/6653943832/63788
_version_ 1681425960393506816

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