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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.

Disease Simulation Control

Actions
Transport Settings
S.E.I.R.S. Parameters
2 d
5 d
10 d
2 d
30 d
Vaccination Efficiency
Transmission Rates (Max 100%)

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