Author: Bart Smeets; Rodrigo Watte; Herman Ramon
Title: Scaling analysis of COVID-19 spreading based on Belgian hospitalization data Document date: 2020_3_30
ID: nc5rtwtd_16
Snippet: Fits are performed using the Levenberg-Marquardt least squares methods. During this procedure Eqs. (1-3) are integrated using the Dormand-Prince method, which uses a fourth-order Runge-Kutta method. The implementation of the fitting routine for the SIR-X model was kindly provided by the original authors [4] . The fitting of power law models was performed in double logarithmic space, and discarded the first five data points (March 12-16), which ac.....
Document: Fits are performed using the Levenberg-Marquardt least squares methods. During this procedure Eqs. (1-3) are integrated using the Dormand-Prince method, which uses a fourth-order Runge-Kutta method. The implementation of the fitting routine for the SIR-X model was kindly provided by the original authors [4] . The fitting of power law models was performed in double logarithmic space, and discarded the first five data points (March 12-16), which account for the exponential behavior. Fig. 1 shows H a , D and R as a function of time. The accumulated hospitalization H a showcases two distinct regimes: an initial exponential growth phase and a 3 . CC-BY-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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