A Hybrid Sensitivity Analysis Approach for Agent-based Disease Spread Models
Abstract
Agent-based models (ABM) have been widely deployed in different fields for studying the collective behavior of large numbers of interacting agents. Of particular interest lately is the application of agent-based and hybrid models to epidemiology, specifically Agent-based Disease Spread Models (ABDSM). Validation (one aspect of the means to achieve dependability) of ABDSM simulation models is extremely important. It ensures that the right model has been built and lends confidence to the use of that model to inform critical decisions. In this report, we describe our preliminary efforts in ABDSM validation by using hybrid model fusion technology.
- Authors:
-
- ORNL
- New York Institute of Technology (NYIT)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- Work for Others (WFO)
- OSTI Identifier:
- 1047029
- DOE Contract Number:
- DE-AC05-00OR22725
- Resource Type:
- Conference
- Resource Relation:
- Conference: DSN (Dependable Systems and Networks), Boston, MA, USA, 20120625, 20120625
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES; DISEASES; EPIDEMIOLOGY; SENSITIVITY ANALYSIS; SIMULATION; VALIDATION
Citation Formats
Pullum, Laura L, and Cui, Xiaohui. A Hybrid Sensitivity Analysis Approach for Agent-based Disease Spread Models. United States: N. p., 2012.
Web.
Pullum, Laura L, & Cui, Xiaohui. A Hybrid Sensitivity Analysis Approach for Agent-based Disease Spread Models. United States.
Pullum, Laura L, and Cui, Xiaohui. 2012.
"A Hybrid Sensitivity Analysis Approach for Agent-based Disease Spread Models". United States.
@article{osti_1047029,
title = {A Hybrid Sensitivity Analysis Approach for Agent-based Disease Spread Models},
author = {Pullum, Laura L and Cui, Xiaohui},
abstractNote = {Agent-based models (ABM) have been widely deployed in different fields for studying the collective behavior of large numbers of interacting agents. Of particular interest lately is the application of agent-based and hybrid models to epidemiology, specifically Agent-based Disease Spread Models (ABDSM). Validation (one aspect of the means to achieve dependability) of ABDSM simulation models is extremely important. It ensures that the right model has been built and lends confidence to the use of that model to inform critical decisions. In this report, we describe our preliminary efforts in ABDSM validation by using hybrid model fusion technology.},
doi = {},
url = {https://www.osti.gov/biblio/1047029},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2012},
month = {Sun Jan 01 00:00:00 EST 2012}
}
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