Agent Based Modeling: Population Health from the Bottom Up

 


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Air date: Friday, July 13, 2007, 10:00:00 AM
Category: Special
Runtime: 118 minutes
NLM Title: Agent based modeling : population health from the bottom up [electronic resource] / Joshua Epstein and Michael Macy.
Series: Symposia series on systems science and health
Author: Epstein, Joshua M.
National Institutes of Health (U.S.). Office of Behavioral and Social Sciences Research.
Publisher: [Bethesda, Md. : National Institutes of Health, 2007]
Other Title(s): Symposia series on systems science and health
Abstract: (CIT): The NIH Office of Behavioral and Social Sciences Research and CDC's Syndemics Prevention Network present Spring 2007 Symposia Series on Systems Science and Health. The third symposium of a four-part educational seminar featuring leaders in various areas of systems science. The purposes are to raise awareness of particularly promising methodologies; and improve our collective understanding about how and when they may be used effectively by behavioral and social scientists (including researchers, policy analysts, planners/evaluators, grant reviewers, journal editors and government officials). Dr. Macy will present an introduction to agent-based modeling in general, and will discuss its value in explaining the dynamics of complex systems, comparing agent-based approaches to selected alternatives. Dr. Epstein will demonstrate concrete agent models across a range of scales and public health problems, including: a local smallpox model, a realistic New Orleans toxic aerosol and evacuation model; a 300 million agent US model suitable for contagious disease projections; and the NIH MIDAS Global Pandemic Flu model. He will also discuss the role of behavioral factors in these and the models of smoking, obesity, and trust under development at the Center on Social and Economic Dynamics, which he directs.
Subjects: Computer Simulation
Models, Theoretical
Public Health Practice
Systems Analysis
Publication Types: Government Publications
Lectures
NLM Classification: WA 525
NLM ID: 101313560
CIT File ID: 13931
CIT Live ID: 5946
Permanent link: http://videocast.nih.gov/launch.asp?13931

 

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