Author: Liu, Quan-Hui; Ajelli, Marco; Aleta, Alberto; Merler, Stefano; Moreno, Yamir; Vespignani, Alessandro
Title: Measurability of the epidemic reproduction number in data-driven contact networks Document date: 2018_12_11
ID: 2eity73e_66
Snippet: We checked the relation between the reproduction number and the average weighted degree of the infected nodes by simulating the data-driven model for the scenario representing the spread of a "uncharacterized" future influenza pandemic in Italy. Results are shown in Fig.S4 . Figure S5 shows the dynamics of R(t) and T g(t) as obtained by simulating the data-driven model calibrated on the 2009 H1N1 influenza pandemic in Italy. Results are aligned a.....
Document: We checked the relation between the reproduction number and the average weighted degree of the infected nodes by simulating the data-driven model for the scenario representing the spread of a "uncharacterized" future influenza pandemic in Italy. Results are shown in Fig.S4 . Figure S5 shows the dynamics of R(t) and T g(t) as obtained by simulating the data-driven model calibrated on the 2009 H1N1 influenza pandemic in Italy. Results are aligned at the epidemic peak, which corresponds to time t = 0. B As A, but R(t) is broken down in the four layers. C As A, but for T g(t). D As B, but for T g(t).
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