Virus Dynamics on Starlike Graphs

Thealexa Becker, Alexander Greaves-Tunnell, Aryeh Kontorovich, Steven J Miller, Karen Shen

Research output: Contribution to journalArticlepeer-review

Abstract

The field of epidemiology has presented fascinating and relevant questions for mathematicians, primarily concerning the spread of viruses in a community. The importance of this research has greatly increased over time as its applications have expanded to also include studies of electronic and social networks and the spread of information and ideas. We study virus propagation on a non-linear hub and spoke graph (which models well many airline networks). We determine the long-term behavior as a function of the cure and infection rates, as well as the number of spokes n. For each n we prove the existence of a critical threshold relating the two rates. Below this threshold, the virus always dies out; above this threshold, all non-trivial initial conditions iterate to a unique non-trivial steady state. We end with some generalizations to other networks.
Original languageEnglish GB
Pages (from-to)53-63
JournalJournal of Nonlinear Systems and Applications
Volume4
Issue number1
StatePublished - 2013

Fingerprint

Dive into the research topics of 'Virus Dynamics on Starlike Graphs'. Together they form a unique fingerprint.

Cite this