Structural network characteristics affect epidemic severity and prediction in social contact networks.

ABSTRACT: Understanding and mitigating epidemic spread in complex networks requires the measurement of structural network properties associated with epidemic risk. Classic measures of epidemic thresholds like the basic reproduction number (R₀) have been adapted to account for the structure of social contact networks but still may be unable to capture epidemic potential relative to more recent measures based on spectral graph properties. Here, we explore the ability of R₀ and the spectral radius of the social contact network to estimate epidemic susceptibility. To do so, we simulate epidemics on a series of constructed (small world, scale-free, and random networks) and a collection of over 700 empirical biological social contact networks. Further, we explore how ot

SUBMITTER: McKee J 

PROVIDER: S-EPMC10824764 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature