System Dynamics Modeling: Population Flows, Feedback Loops and Health |
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| Launch in standalone player | |
| Air date: | Thursday, August 30, 2007, 1:00:00 PM |
| Category: | Special |
| Runtime: | 120 minutes |
| NLM Title: | System dynamics modeling : population flows, feedback loops, and health [electronic resource] / Jack Homer and George Richardson. |
| Series: | Symposia series on systems science and health |
| Author: | Homer, Jack. 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): Dr. Richardson will present a general introduction to system dynamics modeling, including its history, purposes, principles, and methodology. Dr. Homer will describe several applications of system dynamics to health issues, including CDC-sponsored models on the growth of diabetes and obesity, a model of hospital surge capacity, and a model of cocaine use in the U.S. These models have supported goal setting, policy analysis, resource needs analysis, theory development, and estimation of hard-to-measure quantities. The 2007 Symposia Series on Systems Science and Health is sponsored by the NIH Office of Behavioral and Social Sciences Research and CDC's Syndemics Prevention Network with support from the following NIH components: Division of Nutrition Research Coordination, Fogarty International Center, National Institute for Child Health and Human Development, National Institute for General Medical Sciences and the National Cancer Institute. |
| Subjects: | Medical Informatics Models, Theoretical Systems Analysis |
| Publication Types: | Government Publications Lectures |
| NLM Classification: | QA 402 |
| NLM ID: | 101317975 |
| CIT File ID: | 14005 |
| CIT Live ID: | 5929 |
| Permanent link: | http://videocast.nih.gov/launch.asp?14005 |
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| Audio Podcasts | Video Podcasts | |||||
| Description | Runtime | Description | Runtime | |||
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Enhanced Audio Podcast | 2:04:40 |
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Enhanced Video Podcast | 2:04:40 | |