Optimizing Interventions for Agent-Based Infectious Disease Simulations
Non-pharmaceutical interventions (NPIs) are commonly used tools for controlling infectious disease transmission when pharmaceutical options are unavailable. Yet, identifying effective interventions that minimize societal disruption remains challenging. Agent-based simulation is a popular tool for analyzing the impact of possible interventions in epidemiology. However, automatically optimizing NPIs using agent-based simulations poses a complex problem because, in agent-based epidemiological models, interventions can target individuals based on multiple attributes, affect hierarchical group structures (e.g., schools, workplaces, and families), and be combined arbitrarily, resulting in a ver...
| Authors | Anja Wolpers, Johannes Ponge, Adelinde M. Uhrmacher |
|---|---|
| Primary category | cs.MA |
| Published | 2 April 2026 |
| Last updated at source | 2 April 2026 |
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