Figures & data
Table 1. Default (baseline) model parameters used in the analysis and simulations
Figure 1. Partial rank correlation coefficients showing the effect of parameter variations on using ranges in the table. Notes: Parameters with positive PRCCs will increase
when they are increased, whereas parameters with negative PRCCs will decrease
when they are increased.
![Figure 1. Partial rank correlation coefficients showing the effect of parameter variations on REV using ranges in the table. Notes: Parameters with positive PRCCs will increase REV when they are increased, whereas parameters with negative PRCCs will decrease REV when they are increased.](/cms/asset/d664b6d4-26a8-42ec-848c-2097abe85dbc/oabi_a_1199176_f0001_oc.gif)
Figure 2. Monte Carlo simulations of 1,000 sample values for six illustrative parameters (,
,
,
,
and
) chosen via Latin hypercube sampling.
![Figure 2. Monte Carlo simulations of 1,000 sample values for six illustrative parameters (βl, βd, ρv, ϕ, τ and μb) chosen via Latin hypercube sampling.](/cms/asset/e17c9232-6a8d-4afa-9ef5-526ff389bced/oabi_a_1199176_f0002_oc.gif)