Author: MERIEM ALLALI; PATRICK PORTECOP; MICHEL CARLES; DOMINIQUE GIBERT
Title: Prediction of the time evolution of the COVID-19 disease in Guadeloupe with a stochastic evolutionary model Document date: 2020_4_16
ID: cm678hn4_5
Snippet: The duration of stay in a given class is variable, depending on the initial health status of each patient. Clinical data collected world-wide put constrains on the possible range of each parameter. The model is based on an evolutionary scheme where the initial conditions correspond to a non-infected population excepted a small (typically several tens) number of "infectious". Once initialised, the algorithm proceeds by time-steps and, for each tim.....
Document: The duration of stay in a given class is variable, depending on the initial health status of each patient. Clinical data collected world-wide put constrains on the possible range of each parameter. The model is based on an evolutionary scheme where the initial conditions correspond to a non-infected population excepted a small (typically several tens) number of "infectious". Once initialised, the algorithm proceeds by time-steps and, for each time-step, the sequence of evolutionary operations is applied. For instance, for the time-step corresponding to day k of the simulation process:
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