 We evaluate our model for public data from Berlin, Germany, by first estimating the model parameters (i.e., time lag and average stay in ICU)for March 2020 and then using an exponential model to predict the future ICU load for April and May 2020. Assuming an ICU rate of 5 \%, a time lag of 5 days and an average stay of 14 days in ICU provide the best fit of the data  and is in accord with independent estimates.
<meaning-changed>  We evaluate our model for public data from Berlin, Germany, by first estimating the model parameters (i.e., time lag and average stay in ICU)for March 2020 and then using an exponential model to predict the future ICU load for April and May 2020. Assuming an ICU rate of 5 \%, a time lag of 5 days and an average stay of 14 days in ICU provide the best fit of the data  and is in accord with independent estimates.
 We evaluate our model for three regions, namely Berlin (Germany), Lombardy (Italy), and Madrid (Spain). Before extensive containment measures made an impact, we first estimate the region-specific model parameters. Whereas for Berlin, an ICU rate of 5 \%, a time lag of 5 days and an average stay of 14 days in ICU provide the best fit of the data and is in accord with independent estimates.