Id |
Subject |
Object |
Predicate |
Lexical cue |
T157 |
0-37 |
Sentence |
denotes |
Data fitting and sensitivity analysis |
T158 |
38-146 |
Sentence |
denotes |
All computational analyses and the fitting of data were performed using MATLAB and its optimization toolbox. |
T159 |
147-487 |
Sentence |
denotes |
To account for the inherent uncertainty associated to the COVID-19 epidemic, and hence to provide a better validation of the proposed intermittent strategies, each result reported in the manuscript is the output of 10,000 numerical simulations, where we varied the values of the model parameters using the Latin Hypercube sampling method30. |
T160 |
488-1362 |
Sentence |
denotes |
Specifically, the regional parameters \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\alpha _i,\psi _i,\kappa _i^Q,\kappa _i^H,\eta _i^Q,\eta _i^H$$\end{document}αi,ψi,κiQ,κiH,ηiQ,ηiH together with the estimated initial conditions at May 3, 2020 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$I_{f,i}$$\end{document}If,i were varied considering a maximum variation of ±20% from their nominal values (indicated in Supplementary Table 4). |
T161 |
1363-1549 |
Sentence |
denotes |
Our results show that the strategies we propose are robust to large parameter variations confirming, as is typical in control theory, their viability to control and mitigate the disease. |
T162 |
1550-1684 |
Sentence |
denotes |
Note that the model describing the epidemic spread is highly nonlinear and therefore potentially sensitive to parameter perturbations. |
T163 |
1685-1946 |
Sentence |
denotes |
In particular for some regions the nominal value of the basic reproduction number R0 is such that a parametric variation of 20% explores parameter sets where it becomes greater than 1, leading to dynamics that changes significantly across different simulations. |