Skip to main content

Advertisement

SpringerLink
Log in

Investigation of efficient protection from an influenza pandemic using CARMS

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

The new influenza A virus H1N1-pdm is spreading all over the world, including Japan. Since most people are not immunized against this new influenza virus, it is spreading very quickly. Currently, we have two options for the prevention of this disease, i.e., vaccination and antiviral drugs. Of these, vaccination is the best means of mass protection. However, the current system of vaccine production places limits on the number of units and the preparation time. To understand “the most efficient mass protection,” we simulated the spread of influenza by using the cellular abstract rewriting system on multisets (CARMS).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Umeki M, Suzuki Y (2008) A simple method for simulating chemical reactions. Comput Informatics 27(3):529–550

    MathSciNet  Google Scholar 

  2. Bansall S, Pourbohloul B, Meye LA (2006) A comparative analysis of influenza vaccination programs. PLoS Med 3(10):1816–1825

    Article  Google Scholar 

  3. Simonsen L, Taylor RJ, Viboud C, et al (2007) Mortality benefits of influenza vaccination in elderly people: an ongoing controversy. Lancet Infect Dis 7:658–666

    Article  Google Scholar 

  4. Iwami S, Suzuki T, Takeuchi Y (2009) Paradox of vaccination: is vaccination really effective against avian flu epidemics? PLoS ONE 4(3):e4915

    Article  Google Scholar 

  5. Suzuki Y, Tsumoto S, Tanaka H (1996) Analysis of cycles in symbolic chemical system based on abstract rewriting system on multisets. Alife V:521–529

    Google Scholar 

  6. Ferguson NM, Cummings DA, Cauchemez S, et al (2005) Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature 437(7056):209–214. Epub 2005 August 3

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Information Science, Nagoya University, Furocho Chikusa, Nagoya, 464-8603, Japan

    Kenji Tsunoda & Yasuhiro Suzuki

  2. International Center for Medical Research and Treatment, Kobe University, Kobe, Japan

    Kyoko Shinya

Authors
  1. Kenji Tsunoda
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kyoko Shinya
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yasuhiro Suzuki
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yasuhiro Suzuki.

Additional information

This work was presented in part at the 15th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2010

About this article

Cite this article

Tsunoda, K., Shinya, K. & Suzuki, Y. Investigation of efficient protection from an influenza pandemic using CARMS. Artif Life Robotics 16, 1–4 (2011). https://doi.org/10.1007/s10015-010-0874-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-010-0874-8

Key words

Search

Navigation