5 citations · 11 across the 4 of their papers we have counts for
4 papers
Reverse Engineering the Reproduction Number: A Framework for Data-Driven Counterfactual Analysis, Strategy Evaluation, and Feedback Control of Epidemics
Baike She, Rebecca Lee Smith, Ian Pytlarz +2
During the COVID-19 pandemic, different countries, regions, and communities constructed various epidemic models to evaluate spreading behaviors and assist in making mitigation poli…
Leveraging Opinions and Vaccination to Eradicate Networked Epidemics
Humphrey Leung, Zhuocong Li, Baike She +1
We introduce a multi-layer networked compartmental model that captures opinion dynamics, disease spread, risk perception, and self-interest vaccine-uptake behavior in an…
Distributed Reproduction Numbers of Networked Epidemics
Baike She, Philip E. Paré, Matthew Hale
Reproduction numbers are widely used for the estimation and prediction of epidemic spreading processes over networks. However, reproduction numbers do not enable estimation and pre…
A Closed-Loop Framework for Inference, Prediction and Control of SIR Epidemics on Networks
Ashish R. Hota, Jaydeep Godbole, Philip E Paré
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 resour…