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_80
Snippet: To understand the main determinants of the observed patterns of R(t) and T g as resulting from the simulations of the data-driven model, we compare the data-driven model outcomes with those obtained by simulating a fully homogeneous mixing model and three alternative null models preserving the nodes' degree distribution. Specifically, the proposed null models are:.....
Document: To understand the main determinants of the observed patterns of R(t) and T g as resulting from the simulations of the data-driven model, we compare the data-driven model outcomes with those obtained by simulating a fully homogeneous mixing model and three alternative null models preserving the nodes' degree distribution. Specifically, the proposed null models are:
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