A Closed-Loop Framework for Inference, Prediction, and Control of SIR Epidemics on Networks

@article{Hota2021ACF,
  title={A Closed-Loop Framework for Inference, Prediction, and Control of SIR Epidemics on Networks},
  author={Ashish Ranjan Hota and Jaydeep Godbole and Philip E. Par'e},
  journal={IEEE Transactions on Network Science and Engineering},
  year={2021},
  volume={8},
  pages={2262-2278}
}
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 individuals are more likely to undergo testing. We then present two tractable optimization problems to… 

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