Switchover phenomenon induced by epidemic seeding on geometric networks.

ABSTRACT: It is a fundamental question in disease modeling how the initial seeding of an epidemic, spreading over a network, determines its final outcome. One important goal has been to find the seed configuration, which infects the most individuals. Although the identified optimal configurations give insight into how the initial state affects the outcome of an epidemic, they are unlikely to occur in real life. In this paper we identify two important seeding scenarios, both motivated by historical data, that reveal a complex phenomenon. In one scenario, the seeds are concentrated on the central nodes of a network, while in the second one, they are spread uniformly in the population. Comparing the final size of the epidemic started from these two initial conditions through data-driven and synthetic s

SUBMITTER: Odor G 

PROVIDER: S-EPMC8521690 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature