Fig. 3
From: Recalibrating disease parameters for increasing realism in modeling epidemics in closed settings
Performance of the fit in synthetic populations. a-b-c Variations of the three epidemic features (a Δ T , b Δ P , c Δlogα) for all synthetic datasets under study. Each point corresponds to one set of parameters \(({R_{0}^{\mathrm {c}}}, {\mu _{\mathrm {c}}})\). Numbers on the x-axis give the value of the relevant property of the data (from left to right, number of groups, number of individuals per group or total population size), see Table 2. d Epidemic size obtained from the homogeneous mixing approach with best fit values as a function of the epidemic size resulting from the contact network epidemic simulations. Each point corresponds to one parameter set \(({R_{0}^{\mathrm {c}}}, {\mu _{\mathrm {c}}})\) and one dataset. The black line corresponds to the diagonal, and the blue line is a fit to all the points (using unweighted least squares fitting of the logarithmic values)