🦠 Epidemiology of Bee Disease Spread: SIR Network Lab (2D)

This 2D companion strips the 3D apiary landscape down to the epidemiology that actually drives it: every hive runs its own Susceptible-Infected-Recovered compartmental model with real ODEs (dS/dt=-βSI/N, dI/dt=βSI/N-γI, dR/dt=γI), hives exchange infection through an inverse-distance forager-drift coupling instead of a decorative link, and a live R₀ = β/γ readout plus an aggregate epidemic curve let you watch how transmission rate, recovery rate, hive spacing and hive count reshape the outbreak across the whole network.