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About Systems Science in Public Health
This document discusses the need for systems science methods in public health research to study complex public health systems. It argues that traditional study designs like randomized controlled trials are not well-suited for studying complex systems because they do not allow for interactions between system elements or examine causal mechanisms. The document introduces three systems science methods - system dynamics, network analysis, and agent-based modeling - and provides examples of their use in infectious disease, tobacco control, and obesity research. It concludes that these methods can help answer important public health questions by simulating complex systems and modeling interactions between heterogeneous, adaptive system components.
Detailed Information
| Author: | ['api-244342480'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 26 |
| Language: | English |
| Format: | |
| Price: | FREE |
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