Page 211 - IJOCTA-15-4
P. 211

Data-driven optimization and parameter estimation for an epidemic model
            Table 1. Vertex numbers and corresponding cities of the Poland road network

                              Vertex - City/ies                      Vertex - City/ies
                              1 - Pozna´n                            12 - Bia lystok
                              2 - Wroc law                           13 - Szczecin
                              3 - Katowice, Sosnowiec, Zabrze, & Bytom 14 - Kielce
                              4 - Krak´ow                            15 - Czestochowa
                              5 - Rzesz´ow                           16 - Bydgoszcz
                              6 - Radom                              17 - Suwa lki
                              7 -  L´od´z                            18 - Zielona G´ora
                              8 - Warszawa (Warsaw)                  19 - Gorz´ow Wielkopolski
                              9 - Gda´nsk & Gdynia                   20 - Rybnik
                                                                         ´
                              10 - Bielsko-Bia la                    21 - Swinouj´scie
                              11 - Lublin                            22 - Toru´n















































                         Figure 1. Simplified road network of Poland with E-road classification by edge.


                              P        2
            are 3|V | + |E| +    deg(v) parameters, which
                                v
            are first estimated using data and then adjusted      d
            using optimization, as discussed in Section 2.3.      dt  I v = β v S v I v − η v I v
                                                                                                 
                                                                                                          (2)
                                                                            X               X    v
                Here, we state the model under consideration,          + α v    I e (v, t) −    λ e    I v
            offering explanations of the equations in the sub-             e|e∼v           e|e∼v
            sequent paragraphs:


                Vertices                                          Edges
                            d                                                 ∂         ∂ 2
                              S v = −β v S v I v        (1)                     I e = d e  I e            (3)
                            dt                                                ∂t       ∂x 2
                                                           753
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