Title
A Closed-Loop Framework for Inference, Prediction, and Control of SIR Epidemics on Networks
Abstract
Motivated by the ongoing pandemic COVID-19, we propose a closed-loop framework that combines inference from testing data, learning the parameters of the dynamics and optimal resource allocation for controlling the spread of the susceptible-infected-recovered (SIR) epidemic on networks. Our framework incorporates several key factors present in testing data, such as the fact that high risk individua...
Year
DOI
Venue
2021
10.1109/TNSE.2021.3085866
IEEE Transactions on Network Science and Engineering
Keywords
DocType
Volume
Epidemics,Testing,COVID-19,Statistics,Sociology,Resource management,Optimization
Journal
8
Issue
ISSN
Citations 
3
2327-4697
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ashish R. Hota101.01
Jaydeep Godbole200.34
Pradhuman Bhariya300.34
Philip E. Pare4147.53