Author: Antonio Scala; Andrea Flori; Alessandro Spelta; Emanuele Brugnoli; Matteo Cinelli; Walter Quattrociocchi; Fabio Pammolli
Title: Between Geography and Demography: Key Interdependencies and Exit Mechanisms for Covid-19 Document date: 2020_4_14
ID: bf098qcr_20
Snippet: To adapt the SIOR's parameters to the Italian data [19] , we compare the reported cumulative number of Covid-19 cases Y Obs with the analogous quantity Y model = ÏγIdt in our model. We first estimate model's parameters by least square fitting on the pre-lockdown period. Since in such range the data Y Obs show an exponential growth trend, we are possibly observing a very early phase of the epidemic, where β − γ equals the growth rate of Y Ob.....
Document: To adapt the SIOR's parameters to the Italian data [19] , we compare the reported cumulative number of Covid-19 cases Y Obs with the analogous quantity Y model = ÏγIdt in our model. We first estimate model's parameters by least square fitting on the pre-lockdown period. Since in such range the data Y Obs show an exponential growth trend, we are possibly observing a very early phase of the epidemic, where β − γ equals the growth rate of Y Obs (see Sec. 8.1).
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