Selected article for: "influenza pandemic and pandemic influenza"
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_70
    Snippet: Cross-country comparison of the dynamics of R(t) and T g(t) as obtained by using the datadriven model assuming the synthetic population of Italy and of The Netherlands. For both countries we use the same parameters regulating the infection transmission process (e.g., the layer-specific transmission rates and the removal rate) as obtained by calibrating the model for Italy to reproduce the spread of the 2009 H1N1 influenza pandemic in Italy. Resul.....
    Document: Cross-country comparison of the dynamics of R(t) and T g(t) as obtained by using the datadriven model assuming the synthetic population of Italy and of The Netherlands. For both countries we use the same parameters regulating the infection transmission process (e.g., the layer-specific transmission rates and the removal rate) as obtained by calibrating the model for Italy to reproduce the spread of the 2009 H1N1 influenza pandemic in Italy. Results are shown in Fig.S7 . A B C D Figure S7 : A Comparison between the mean R(t) of data-driven model by using the Italian and the Dutch populations for the scenario representing the spread of a "uncharacterized" future influenza pandemic. 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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