SIS-SEIQR adaptive network model for pandemic influenza

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 invest...

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Main Authors: Wannika Jumpen, Somsak Orankitjaroen, Pichit Boonkrong, Boonmee Wattananon, Benchawan Wiwatanapataphee
其他作者: Mahidol University
格式: Conference or Workshop Item
出版: 2018
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在線閱讀:https://repository.li.mahidol.ac.th/handle/123456789/11771
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機構: Mahidol University