Journal: Chaos, Solitons, and Fractals

Article Title: Using awareness to Z-control a SEIR model with overexposure: Insights on Covid-19 pandemic

doi: 10.1016/j.chaos.2021.111063

Figure Lengend Snippet: Approximated solutions of model in the temporal horizon [ 0 , 10 6 ] provided by Matlab routines ode45 (on the left), ode15s (on the right) with default tolerances (rows 1,2,3) and tolerances set at machine precision (4,5,6). Parameters are fixed as in Section 2 with a = 0.0002 , β = 3.5 · 10 − 8 . Long-run regimes: the solution tends to an attracting negative equilibrium (rows 1,2,3), to an oscillating solution (column 1, rows 4,5,6) or, after some initial oscillations, converges to an equilibrium (column 2, rows 4,5,6).

Article Snippet: Solutions provided by Matlab routines ode45 (on the left), ode15s (on the right) with default tolerances (rows 1,2,3) and tolerances at machine precision (4,5,6).

Techniques:

Journal: Chaos, Solitons, and Fractals

Article Title: Using awareness to Z-control a SEIR model with overexposure: Insights on Covid-19 pandemic

doi: 10.1016/j.chaos.2021.111063

Figure Lengend Snippet: Approximations of E ( t ) (first row) and I ( t ) (second row) of model at the selected times of temporal horizon [ 0 , 10 6 ] where they assume negative values. Solutions provided by Matlab routines ode45 (on the left), ode15s (on the right) with default tolerances (rows 1,2,3) and tolerances at machine precision (4,5,6). Parameters are fixed as in Section 2 with a = 0.0002 , β = 3.5 · 10 − 8 . The negative values provided by Matlab routine ode45 (column 1, rows 1,2) oscillate very close to zero. The negative values provided by Matlab routine ode15s (column 2, rows 1,2) depart from zero and converge toward a equilibrium.

Article Snippet: Solutions provided by Matlab routines ode45 (on the left), ode15s (on the right) with default tolerances (rows 1,2,3) and tolerances at machine precision (4,5,6).

Techniques: