no code implementations • 15 May 2023 • Ciyuan Zhang, Sebin Gracy, Tamer Basar, Philip E. Pare
Second, we propose an observation model which captures the summation of all the viruses' infection levels in each node, which represents the individuals who are infected by different viruses but share similar symptoms.
no code implementations • 1 Apr 2022 • Ciyuan Zhang, Sebin Gracy, Tamer Basar, Philip E. Pare
This paper proposes a novel discrete-time multi-virus SIR (susceptible-infected-recovered) model that captures the spread of competing SIR epidemics over a population network.
no code implementations • 15 Apr 2021 • Brooks Butler, Ciyuan Zhang, Ian Walter, Nishant Nair, Raphael Stern, Philip E. Paré
We show that the set of healthy states is asymptotically stable, and that the value of the equilibria becomes equal across all sub-populations as a result of the network flow model.
no code implementations • 24 Feb 2021 • Ciyuan Zhang, Humphrey Leung, Brooks Butler, Philip. E. Paré
We provide a sufficient condition for the SIR model to converge to the set of healthy states exponentially.