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_3
Snippet: Among the numerous successful interdisciplinary ap-plications of applied geometry and topology, ranging from differentiating cancer networks [12] to modeling phase transitions in brain networks [13] , one idea in particular can be beneficial to measure the systemic risk and fragility of COVID-19 epidemic networks in a datadriven way: Using network curvature to infer the network fragility and systemic risk. This could give insights into the curren.....
Document: Among the numerous successful interdisciplinary ap-plications of applied geometry and topology, ranging from differentiating cancer networks [12] to modeling phase transitions in brain networks [13] , one idea in particular can be beneficial to measure the systemic risk and fragility of COVID-19 epidemic networks in a datadriven way: Using network curvature to infer the network fragility and systemic risk. This could give insights into the current aspects of the pandemics without the need for parameter estimations.
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