Fig. 8.

The relationship between the number of cases per day (K) and the total number of cases (N) in the framework of the generalized logistic model: approximation from Eq. (15) is given by the pink line, the dashed line shows non-simultaneous 95% prediction bounds for response values for the generalized model. The green line shows a parabolic curve in the framework of a simple logistic model (Eq. (8)): a – Austria: $N_{\infty }=18500$, r = 0.151, $\alpha =1.1$, $\beta =2.56$, R² = 0.88; b – Switzerland: $N_{\infty }=32100$, r = 1.093, $\alpha =0.8$, $\beta =1.5$, R² = 0.86; c – the Netherlands: N_∞ = 41,950, r = 4.702, α = 0.6, β = 0.7, R² = 0.94; d – Italy: N_∞ = 499,300, r = 0.994, $\alpha =0.8$, β = 5.1, R² = 0.96; e – Turkey: N_∞ = 146,500, r = 3.573, α = 0.7, β = 1.07, R² = 0.975; f – Suth Korea: $N_{\infty }=16200$, r = 0.143, $\alpha =1.2$, $\beta =5.4$, R² = 0.91.