 Our model is then used to predict future ICU load assuming  a continued exponential phase with varying growth rates (0-15\%) . For example, based on our parameters the model predicts that the number of ICU patients at the end of May would be 246 if the exponential growth were to continue at a rate of 3\%, 1,056 if the growth rate were 5\% and 3,758 if the growth rate were 7\%. The model can be adjusted as estimates of parameters develop and can thus also help to predict a potential exceedance of ICU capacity.
<meaning-changed>  Our model is then used to predict future ICU load assuming  a continued exponential phase with varying growth rates (0-15\%) . For example, based on our parameters the model predicts that the number of ICU patients at the end of May would be 246 if the exponential growth were to continue at a rate of 3\%, 1,056 if the growth rate were 5\% and 3,758 if the growth rate were 7\%. The model can be adjusted as estimates of parameters develop and can thus also help to predict a potential exceedance of ICU capacity.
 Our model is then used to predict future ICU load assuming a continued exponential phase with varying growth rates (0-15\%) or linear growth. Thus, the model can help to predict a potential exceedance of ICU capacity.