Fig. 6
From: Recalibrating disease parameters for increasing realism in modeling epidemics in closed settings
Recalibration of epidemic parameters for synthetic networks. a-b-c: Best fit values of the reproductive number \({R_{0}^{\mathrm {h}}}\) as functions of the corresponding input values \({R_{0}^{\mathrm {c}}}\). d-e-f: Best fit values of the recovery rate μ h as functions of the corresponding input values μ c . Different population properties are explored: number of groups (a, d), group size (b, e), total population size (c, f). In each panel, each color corresponds to a specific value of the population property considered. Lines are the result of linear fits to the points obtained in each location using unweighted least squares