×
Simulation Documentation
This is a spatial, stochastic Agent-Based Model (ABM) simulating disease dynamics in a metapopulation
structure.
1. Dynamic Network Model (Transport)
Disease spread between cities is modeled via Mobile Agents (Trucks) rather than
contiguous diffusion.
- The Cycle: A truck picks up an animal state from City A -> Waits 5s (mixing) ->
Travels along the faint grey road -> Arrives at City B -> Waits 5s (mixing) -> Returns to City
A.
- Interaction: While waiting in a city, the truck acts as a temporary neighbor to
local animals. If the truck is Infectious, it can infect locals. If the truck is Susceptible, it
can catch the disease from locals.
- Transport Ban: Disabling transport freezes and hides all trucks, effectively
cutting the edges of the network graph.
2. S.E.I.R.S. Compartmental Model
- Susceptible (Green): Healthy.
- Exposed (Orange): Infected but latent (not shedding).
- Infectious (Yellow): Actively shedding virus.
- Recovered (Blue): Immune (temporary).
- Removed (Red): Dead.
3. Mathematical Framework
Force of Infection: P(infection) = 1 - (1 - β)^n. Naturally handles density
dependence.
Rt (Reproduction Number): Tracks average secondary infections per agent in
real-time.