Author: Martin Spousta
Title: Parametric analysis of early data on COVID-19 expansion in selected European countries Document date: 2020_4_3
ID: 3b6n8un0_16
Snippet: with b i , t i , and c being free parameters and k = 1, 2. None of these more ad-hoc functional forms provided a better description of the data than (4). While N 0 and b 2 remain correlated, one can notice that the values of the N 0 and b 2 start to be constant in time for Italy and France even if the number of cases evolve with time. This builds a confidence in the predictive power of the model which is discussed in the next section......
Document: with b i , t i , and c being free parameters and k = 1, 2. None of these more ad-hoc functional forms provided a better description of the data than (4). While N 0 and b 2 remain correlated, one can notice that the values of the N 0 and b 2 start to be constant in time for Italy and France even if the number of cases evolve with time. This builds a confidence in the predictive power of the model which is discussed in the next section.
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