Abstract
Agent-based computational models can capture irrational behaviour, complex social networks and global scale — all essential in confronting H1N1, says Joshua M. Epstein. As the world braces for an autumn wave of swine flu (H1N1), the relatively new technique of agent-based computational modelling is playing a central part in mapping the disease's possible spread, and designing policies for its mitigation.Classical epidemic modelling, which began in the 1920s, was built on differential equations.
