Fig. 5
From: Recalibrating disease parameters for increasing realism in modeling epidemics in closed settings
Recalibration of epidemic parameters for empirical networks. a Best fit values of the reproductive number \({R_{0}^{\mathrm {h}}}\) as functions of the corresponding input values \({R_{0}^{\mathrm {c}}}\). b Best fit values of the recovery rate μ h as functions of the corresponding input values μ c . Symbol shapes correspond to datasets. For \({R_{0}^{\mathrm {c}}}=1.4\) in a, we show the value of \({R_{0}^{\mathrm {h}}}\) averaged over the various values of μ c considered; for μc=0.346 in b, we show the value of μh averaged over the various values of \({R_{0}^{\mathrm {c}}}\) considered. Lines are the result of a linear fit to all points obtained in a given location using unweighted least squares