most citedOn a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics

82 citations · 86 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2021

Parameter Estimation in Epidemic Spread Networks Using Limited Measurements

Lintao Ye, Philip E. Paré, Shreyas Sundaram

We study the problem of estimating the parameters (i.e., infection rate and recovery rate) governing the spread of epidemics in networks. Such parameters are typically estimated by…

eess.SY2021

The Effect of Population Flow on Epidemic Spread: Analysis and Control

Brooks Butler, Ciyuan Zhang, Ian Walter +3

In this paper, we present a discrete-time networked SEIR model using population flow, its derivation, and assumptions under which this model is well defined. We identify properties…

eess.SY2021★ 1 cited

Estimation and Distributed Eradication of SIR Epidemics on Networks

Ciyuan Zhang, Humphrey Leung, Brooks Butler +1

This work examines the discrete-time networked SIR (susceptible-infected-recovered) epidemic model, where the infection and recovery parameters may be time-varying. We provide a su…

eess.SY2021★ 82 cited

On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics

Baike She, Ji Liu, Shreyas Sundaram +1

We propose a mathematical model to study coupled epidemic and opinion dynamics in a network of communities. Our model captures SIS epidemic dynamics whose evolution is dependent on…

math.OC2020

Analysis and Estimation of Networked SIR & SEIR Models with Transportation Networks

Damir Vrabac, Raphael Stern, Philip E. Paré

In this paper we present the discrete-time networked SIR and SEIR models and present assumptions under which they are well defined. We analyze the limiting behavior of the models a…

math.OC2020★ 2 cited

Edge Deletion Algorithms for Minimizing Spread in SIR Epidemic Models

Yuhao Yi, Liren Shan, Philip E. Paré +1

This paper studies algorithmic strategies to effectively reduce the number of infections in susceptible-infected-recovered (SIR) epidemic models. We consider a Markov chain SIR mod…