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Title: 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:
 [1];  [2]
  1. ORNL
  2. 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}
}

Conference:
Other availability
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