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Professor Steve Albert's commentary advocating for the use of agent-based modeling to examine the mechanisms linking community context to health outcomes was recently accepted for publication in Preventive Medicine

According to Dr. Albert, multilevel models are limited in their ability to test pathways and identify mediators of individual–community associations. We need more flexible analytic tools that can take into account mediation, multi-directional causation, and nonlinear relations. One way to capture these dynamic properties is to use agent-based computational models to ‘grow’ phenomena of interest.” Agent-based simulations, increasingly important for infectious disease modeling, are an important new tool for public health scientists who wish to understand the effects of place on health.


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