Analytics
Agent-Based Modeling for Public Health Initiatives
Agent-based modeling (ABM) has emerged as a transformative tool for understanding complex systems in public health. Imagine a virtual world where individual “agents” (such as people, households, or organizations) interact based on set rules. These interactions simulate real-life dynamics, shedding light on patterns that drive health outcomes. But ABM isn’t just for researchers; it has […]
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