Author: Danillo Barros de Souza; Fernando A N Santos; Everlon Figueiroa; Jailson B Correia; Hernande P da Silva; Jose Luiz de Lima Filho; Jones Albuquerque
Title: Using curvature to infer COVID-19 fractal epidemic network fragility and systemic risk Document date: 2020_4_6
ID: a47l7m47_9
Snippet: Given that we are still in the early stages of the COVID-19 pandemic, we need to show that the Forman-Ricci curvature suffices to detect fragility and risk in a toy-model, i.e., a simulated epidemic network obtained from simulated time series for the epidemic. We will first build this simple model heuristically and in second step move towards the analysis of real COVID-19 data......
Document: Given that we are still in the early stages of the COVID-19 pandemic, we need to show that the Forman-Ricci curvature suffices to detect fragility and risk in a toy-model, i.e., a simulated epidemic network obtained from simulated time series for the epidemic. We will first build this simple model heuristically and in second step move towards the analysis of real COVID-19 data.
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