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Parallel Agent-Based Simulator for Influenza Pandemic

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Advanced Agent Technology (AAMAS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7068))

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Abstract

We have developed a parallel agent-based influenza pandemic simulator, in order to study the influenza spread in a city. In the simulator, the city consists of several towns connected tightly by trains. Residents of the towns walk around places such as corporations and schools using trains by need, following to own schedulers. The influenza spread in these congested places is simulated as stochastic processes. We have demonstrated simulations with a realistic scale of population (an order of million) and showed that one simulation run is completed around one hour.

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Author information

Authors and Affiliations

  1. The Institute of Statistical Mathematics, 10-3 Midoricho, Tachikawa, Tokyo, 190-0014, Japan

    Masaya M. Saito & Tomoyuki Higuchi

  2. Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan

    Seiya Imoto, Rui Yamaguchi & Satoru Miyano

Authors
  1. Masaya M. Saito
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  2. Seiya Imoto
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  3. Rui Yamaguchi
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  4. Satoru Miyano
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  5. Tomoyuki Higuchi
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Editor information

Editors and Affiliations

  1. Technische Universiteit, Sectie Filosofie, Postbus 5015, 2600, Delft, GA, The Netherlands

    Francien Dechesne

  2. Department of Social Informatics, Kyoto University, Yoshida-Honmachi, 606-8501, Sakyo-ku, Kyoto, Japan

    Hiromitsu Hattori

  3. Department of Software Technology, Technische Universiteit, Mekelweg 4, 2628, Delft, CD, The Netherlands

    Adriaan ter Mors

  4. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera s/n, 40622, Valencia, Spain

    Jose Miguel Such

  5. Department of Computer Science, Linnaeus University, 351 95, Växjö, Sweden

    Danny Weyns

  6. University of Utrecht, PO Box 80.089, 3508 TB, Utrecht, the Netherlands

    Frank Dignum

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© 2012 Springer-Verlag Berlin Heidelberg

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Saito, M.M., Imoto, S., Yamaguchi, R., Miyano, S., Higuchi, T. (2012). Parallel Agent-Based Simulator for Influenza Pandemic. In: Dechesne, F., Hattori, H., ter Mors, A., Such, J.M., Weyns, D., Dignum, F. (eds) Advanced Agent Technology. AAMAS 2011. Lecture Notes in Computer Science(), vol 7068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27216-5_27

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  • DOI: https://doi.org/10.1007/978-3-642-27216-5_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27215-8

  • Online ISBN: 978-3-642-27216-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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