The role of directionality, heterogeneity and correlations in epidemic risk and spread
Abstract
Most models of epidemic spread, including many designed specifically for COVID-19, implicitly assume that social networks are undirected, i.e., that the infection is equally likely to spread in either direction whenever a contact occurs. In particular, this assumption implies that the individuals most likely to spread the disease are also the most likely to receive it from others. Here, we review results from the theory of random directed graphs...
Paper Details
Title
The role of directionality, heterogeneity and correlations in epidemic risk and spread
Published Date
May 22, 2020
Journal
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