Author: Sylvain Mangiarotti; Marisa Peyre; Yan Zhang; Mireille Huc; Francois Roger; Yann Kerr
Title: Chaos theory applied to the outbreak of Covid-19: an ancillary approach to decision-making in pandemic context Document date: 2020_4_6
ID: gnk3m0b8_45
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.02.20051441 doi: medRxiv preprint 19 Figure 1 : Three projections (C 1 , s 1 ) in (a), (C 1 , D 1 ) in (b) and (s 1 , D 1 ) in (c) of the phase space as reconstructed from the model's trajectory (colour trajectories). The three colours correspond to different initial conditions (colour circles), each taken from the original data set, on 2.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.02.20051441 doi: medRxiv preprint 19 Figure 1 : Three projections (C 1 , s 1 ) in (a), (C 1 , D 1 ) in (b) and (s 1 , D 1 ) in (c) of the phase space as reconstructed from the model's trajectory (colour trajectories). The three colours correspond to different initial conditions (colour circles), each taken from the original data set, on 21 January 7:00 (red), 19:00 (orange) and 22 January 7:00 (purple) 2020. After a 15-day transient, the trajectories converge to a chaotic attractor. Trajectories reconstructed from the observational data 5 are also presented: for all China (in black) and for Italy (in red).
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