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Pandemic Simulations by MADE: A Combination of Multi-agent and Differential Equations, with Novel Influenza A(H1N1) Case
http://hdl.handle.net/10228/5319
http://hdl.handle.net/10228/53192e47ec55-cfdb-4cd7-a166-f38357e896c1
名前 / ファイル | ライセンス | アクション |
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INFO16_5365.pdf (1.7 MB)
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Item type | 学術雑誌論文 = Journal Article(1) | |||||
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公開日 | 2015-01-06 | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
タイトル | ||||||
タイトル | Pandemic Simulations by MADE: A Combination of Multi-agent and Differential Equations, with Novel Influenza A(H1N1) Case | |||||
言語 | ||||||
言語 | eng | |||||
著者 |
廣瀬, 英雄
× 廣瀬, 英雄 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Two pandemic simulation approaches are known: the multi-agent simulation model and the differential equation model. The multi-agent model can deal with detailed simulations under a variety of initial and boundary conditions with standard social network models; however, the computing cost is high. The differential equation model can quickly deal with simulations for homogeneous populations with simultaneous ordinary differential equations and a few parameters; however, it lacks versatility in its use.We propose a new method named the MADE which is a combination of these two models, such that we use the multi-agent model in the early stage in a simulation to determine the parameters that can be used in the differential equation model, and then use the differential equation model in the subsequent stage. With this method, we may deal with pandemic simulations for real social structures with lower computing costs. Contrary to the statistical inference method which could not predict the final stage unless abundant information is included, the MADE have a possibility to do that only with the earlier stage information. The newly emerged pandemic, the novel influenza A(H1N1) case in 2009, is dealt with. | |||||
書誌情報 |
Information 巻 16, 号 7, p. 5365-5390, 発行日 2013-07 |
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出版社 | ||||||
出版者 | International Information Institute | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1343-4500 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1344-8994 | |||||
著作権関連情報 | ||||||
権利情報 | ©2013 International Information Institute | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | MADE | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | SEIR | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | MAS | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | pandemic | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | novel influenza A(H1N1) | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | truncated model | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Runge-Kutta | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
査読の有無 | ||||||
値 | yes | |||||
研究者情報 | ||||||
https://hyokadb02.jimu.kyutech.ac.jp/html/228_ja.html | ||||||
連携ID | ||||||
5041 | ||||||
資料タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | Journal Article | |||||
著者所属 | ||||||
Kyushu Institute of Technology, Department of Systems Design and Informatics | ||||||
情報源 | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.information-iii.org/ | |||||
関連名称 | http://www.information-iii.org/ |