Fig. 4
From: Recalibrating disease parameters for increasing realism in modeling epidemics in closed settings
Examples of fit results. Fitting procedure in Workplace full dataset, a and d, School full dataset, b and e, and Conference full dataset, c and f. For each location we represent a sample of a “good” fit (a, b and c) and a sample of a “bad” fit (d, e and f), i.e. fits yielding a relative difference of peak value Δ P in the first and in the third quartile of Fig. 2, respectively. For each case, the average prevalence curve is shown, with the values of the parameters R0 and μ and the average epidemic size α