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
Link To Document