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Summary
Adds a SEIR epidemic model with a government vaccination policy meta-agent.
Motive
There's no population-level epidemic spreading example in mesa-examples. The existing
virus_antibodymodel works at the biological/cellular level, but nothing shows how a disease spreads through a population on a grid and how a policy intervention affects that. This fills that gap.Implementation
PersonAgents move through four states --Susceptible, Exposed, Infected, Recovered, based on contact with infected neighbors. A GovernmentAgent monitors the infection rate each step and triggers vaccination campaigns when it crosses a threshold, directly moving some susceptible people to recovered. Activation is explicit and bottom-up: people act first, then the government responds. No legacy schedulers used.
Usage Examples
Sliders let you adjust transmission rate, incubation period, infection duration, vaccination threshold, and campaign size. The grid shows agent states in color and two charts track SEIR curves and when vaccination campaigns are active.
@jackiekazil @tpike3 @EwoutH
