313041
Modeling individuals: Agent-based approaches
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Agent-based models try to address these questions by modeling the population as a collection of individuals (“agents”), each with their own behaviors, biology and movement patterns. The use of these models to examine questions of behavior using the zombie outbreak example will be discussed, as will applications to real-world questions like outbreak interventions or school-closure strategies.
Learning Objectives:
- Describe an agent-based model.
- Explain the differences between an agent-based model and a network or compartmental model.
- Identify agent parameters of particular relevance to the learner’s research interests.
Learning Areas:
Qualified on the content I am responsible for because: I am qualified to be a proposal author on the content I am responsible for because I have experience with both the use of computational models and public health practice, and am an expert in combining the two to further public health research and policy planning.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.