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Focusing on the application of system dynamics, this book offers a practical guide for analysts to create simulation models aimed at improving decision-making in social systems. It emphasizes key concepts like stocks, flows, and feedback within complex systems. Real-world challenges, including infectious disease impacts and health service capacity, are explored through simulation. The text introduces essential building blocks of system dynamics and utilizes R programming for model development, featuring examples from epidemiology, health systems, and economics.
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System Dynamics Modeling with R, Jim Duggan
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- 2016
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