This course, offered by Johns Hopkins University, provides an in-depth introduction to systems thinking and systems models in the context of public health. Through a series of comprehensive modules, participants will gain a thorough understanding of how to apply systems thinking to address complex public health challenges. The course emphasizes the importance of integrating multiple perspectives to develop frameworks and models that can effectively predict and describe the reactions of a system to policy changes.
The course content covers various essential topics, including the introduction to systems thinking and complex adaptive systems, system conceptualization using causal loop diagrams, system dynamics simulation using stock-and-flow diagrams, and practical and policy implications.
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This course consists of four modules that delve into systems thinking and models in public health, covering topics such as complex adaptive systems, causal loop diagrams, stock-and-flow diagrams, and practical policy implications.
This module offers an introduction to systems thinking and complex adaptive systems in public health. Participants will explore the application of systems thinking in practice, engage with stakeholders, and gain insights into network analysis and participatory impact pathways analysis.
In this module, participants will learn about system conceptualization using causal loop diagrams, including the basic components, sources of data, and strengths and weaknesses. They will also explore community-based causal mapping workshops and gain insights into developing causal loop diagrams using Vensim.
Participants will delve into system dynamics simulation using stock-and-flow diagrams, understanding the principles for simulation, defining stocks, and exploring case examples of applying stock and flow diagrams to public health. They will also learn how to use agent-based models for scenario-building.
This module focuses on the practical and policy implications of systems thinking in public health, covering how systems thinking can contribute to policy decision making, top-down and bottom-up policymaking, and integration of concepts.
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