. 2011 Oct 26;6(10):e26935. doi: 10.1371/journal.pone.0026935

Table 5. Input parameters and assumptions for the three simulation models.

	model 1	model 2^*	model 3
input parameters	m, κ_L, ρ_L, κ_I, ρ_I	κ, ρ, κ_L, ρ_L, κ_I, ρ_I	κ _[i], ρ _[i], κ_L _[i], ρ_L _[i], κ_I _[i], ρ_I _[i]
basic reproduction number	R₀ _[i] = m	R₀ _[i] ∼ Gamma(κ, ρ)	R₀ _[i] ∼ Gamma(κ _[i], ρ _[i])
latent period	LP _[i] ∼ Gamma(κ_L, ρ_L)	LP _[i] ∼ Gamma(κ_L, ρ_L)	LP _[i] ∼ Gamma(κ_L _[i], ρ_L _[i])
infectious period	IP _[i] ∼ Gamma(κ_I, ρ_I)	IP _[i] ∼ Gamma(κ_I, ρ_I)	IP _[i] ∼ Gamma(κ_I _[i], ρ_I _[i])

*baseline model.

m, mean R₀; κ_L and ρ_L, parameters describing the gamma distribution of the latent period; κ_I and ρ_I, parameters describing the gamma distribution of the infectious period; κ, shape parameter of the gamma distribution of R₀; ρ, rate parameter of the gamma distribution of R₀; i = 1 to 1,000 (i.e., number of simulated outbreaks).