Fig. 2.

COVID-19 pandemic data and model predictions for Austria, comprising (a) time courses of total infections C, currently infected people I, recovered people R, and fatalities F, according to [7]; (b) inverse of the time average over the delay rule-related prediction error; (c) the absolute errors between model-predicted fatalities and the recorded fatalities, based on the death kinetics model, $E_{\text{kin}}^F,$ and based on the infection-to-death delay model, $E_{\text{del}}^F,$ considering the optimized estimates of parameters ${\beta }_{\text{F}},$$f_{\text{F}},$ and $T_{\text{F}},$ as well as their temporal averages; and (d) model-predicted versus recorded fatality trends.