Agent-Based Simulation Tools in Computational Epidemiology

  • Padmavathi Patlolla
  • Vandana Gunupudi
  • Armin R. Mikler
  • Roy T. Jacob
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3473)


An agent-based approach is evaluated for its applicability as a new modeling technology in the emerging area of Computational Epidemiology, a research domain that attempts to synergistically unite the fields of Computer Science and Epidemiology. A primary concern of epidemiologists is investigating the spread of infectious diseases. Computer Scientists can provide powerful tools for epidemiologists to study such diseases. The existing simulation approaches available to epidemiologists are fast becoming obsolete, with data being stored in newer formats like GIS formats. There is an urgent need for developing computationally powerful, user-friendly tools that can be used by epidemiologists to study the dynamics of disease spread. We present a survey of the state-of-the-art in agent-based modeling and discuss the unique features of our chosen technique. Our agent-based approach effectively models the dynamics of the spread of infectious diseases in spatially-delineated environments by using agents to model the interaction between people and pathogens. We present preliminary results of modeling an actual tuberculosis disease outbreak in a local shelter. This model is an important step in the development of user-friendly tools for epidemiologists.


Geographic Information System West Nile Virus Disease Outbreak Vaccination Strategy Homeless Shelter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Gimblett, Randy, H.: Integrating Geographic Information Systems and Agentbased Modeling Techniques, Santa Fe Institute. Oxford University Press, Oxford (2002)Google Scholar
  2. 2.
    Carley, K.M., Schreiber, C.: Information Technology and Knowledge Distribution in C3I Teams. In: 2002 Command and Control Research and Technology Symposium, Monterey, CA (2002)Google Scholar
  3. 3.
    Buckeridge, D.L., Graham, J., O’Connor, M.J., Choy, M.K., Tu, S.W., Musen, M.: Knowledge-Based Bioterrorism Surveillance. In: American Medical Informatics Association Symposium, San Antonio, TX, November 9-13 (2002)Google Scholar
  4. 4.
    Barrat, R.: Atmospheric dispersion modeling: an introduction to practical applications. Earthscan (2001)Google Scholar
  5. 5.
    Carley, K.M., Hill, V.: Structural Change and Learning Within Organizations. In: Lomi, A., Larsen, E.R. (eds.) Dynamics of Organizations: Computational Modeling and Organization Theories, MIT Press/AAAI, Menlo Park, CA (2001)Google Scholar
  6. 6.
    Lawson, A.B.: Statistical Methods in Spatial Epidemiology. John Wiley & Sons, Chichester (2001)zbMATHGoogle Scholar
  7. 7.
    Meselson, M.: Note Regarding Source Strength, ASA Newsletter, article 01-6a,
  8. 8.
    Carley, K.M., Gasser, L.: Computational organization theory. In: Weiss, G. (ed.) Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, MIT Press, Cambridge (1999)Google Scholar
  9. 9.
    Turner, Bruce, D.: Workbook of Atmospheric Dispersion Estimates: An Introduction to Dispersion Modelling. Lewis Publishers (1994)Google Scholar
  10. 10.
    Carley, K.M.: A theory of group stability. American Sociological Review 56(3), 331–354 (1991)CrossRefGoogle Scholar
  11. 11.
    Miller, R.A., Pople, H.E., Myers, J.D.: Interist-I, An Experimental Computer-based Diagnostic Consultant for General Internal Medicine. N. Engl. J. Med. 307, 468–476 (1982)CrossRefGoogle Scholar
  12. 12.
    Documentation available from, (Last Accessed: May 3, 2004)
  13. 13.
    Documentation available from, (Last Accessed: May 3, 2004)
  14. 14.
    Documentation available from, (Last Accessed: May 3, 2004)
  15. 15.
    Documentation available from, (Last Accessed: May 3, 2004)

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Padmavathi Patlolla
    • 1
  • Vandana Gunupudi
    • 1
  • Armin R. Mikler
    • 1
  • Roy T. Jacob
    • 1
  1. 1.Department of Computer Science and EngineeringUniversity of North TexasUSA

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