Author: Lucia Russo; Cleo Anastassopoulou; Athanassios Tsakris; Gennaro Nicola Bifulco; Emilio Fortunato Campana; Gerardo Toraldo; Constantinos Siettos
Title: Tracing DAY-ZERO and Forecasting the Fade out of the COVID-19 Outbreak in Lombardy, Italy: A Compartmental Modelling and Numerical Optimization Approach. Document date: 2020_3_20
ID: fuqtwn5a_18
Snippet: • δ c (d −1 ) is the average per-day "effective" recovery rate within the subset of confirmed infected cases that finally recover, 120 • γ(d −1 ) is the average per-day "effective" mortality rate within the subset of confirmed infected cases that finally die, f is the probability that a confirmed case will die. This, is given by the "emergent" case fatality ratio defined as the ratio of confirmed deaths and the cumulative number of conf.....
Document: • δ c (d −1 ) is the average per-day "effective" recovery rate within the subset of confirmed infected cases that finally recover, 120 • γ(d −1 ) is the average per-day "effective" mortality rate within the subset of confirmed infected cases that finally die, f is the probability that a confirmed case will die. This, is given by the "emergent" case fatality ratio defined as the ratio of confirmed deaths and the cumulative number of confirmed infected cases,
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