Timeframe spanned by an outbreak, conditional on the selection of vaccination strategy under different response times.
Given population density, 60 simulation replicates were run for each vaccination diffusion rate μ under (A) a timely response, i.e. implemented at t = 0, and (B) a delayed response that lags behind the outbreak for 2 epidemic generations, i.e. implemented 10 time steps later.
... [Show full abstract] Time step τ = 0.1, transmission rate δ = 2, recovery rate ρ = 0.2, vaccine intensity ε = 20, and interaction scale α = 1. Squares represent the expected outbreak duration, i.e. length of timeframe, of all simulation replicates under timely (green) and delayed (yellow) responses. The means are fitted using 4th order polynomial regression curves to smooth out simulation noise.
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