• DocumentCode
    2397825
  • Title

    A unified multiscale field/network/agent based modeling framework for human and ecological health risk analysis

  • Author

    Georgopoulos, Panos G. ; Isukapalli, Sastry S.

  • Author_Institution
    UMDNJ-RW Johnson Med. Sch., Rutgers Univ., Piscataway, NJ, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    6420
  • Lastpage
    6423
  • Abstract
    A conceptual framework is presented for multi-scale field/network/agent-based modeling to support human and ecological health risk assessments. This framework is based on the representation of environmental dynamics in terms of interacting networks, agents that move across different networks, fields representing spatiotemporal distributions of physical properties, rules governing constraints and interactions, and actors that make decisions affecting the state of the system. Different deterministic and stochastic modeling case studies focusing on environmental exposures and associated risks are provided as examples, utilizing the bidirectional mapping between discrete, agent based approaches and continuous, equation based approaches. These examples include problems describing human health risk assessment, ecological risk assessment, and environmentally caused disease.
  • Keywords
    deterministic algorithms; environmental factors; medical computing; risk management; stochastic processes; agent-based modeling; bidirectional mapping; deterministic modeling; ecology; health risk analysis; human; interacting networks; multiscale field modeling; network based modeling; spatiotemporal distributions; stochastic modeling; Artificial Intelligence; Computer Simulation; Environmental Exposure; Health Status Indicators; Humans; Models, Statistical; Proportional Hazards Models; Risk Assessment; Risk Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333795
  • Filename
    5333795