The work proposes two optimization approaches for network epidemic control: travel rate reduction whose convergence depends on network structure, and quarantine optimization that reduces to matrix balancing with exponential convergence via primal-dual dynamics, tested on public county data.
Multitask le arning and nonlinear optimal control of the covid-19 outbreak: A ge ometric programming approach,
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Network-Based Epidemic Control Through Optimal Travel and Quarantine Management
The work proposes two optimization approaches for network epidemic control: travel rate reduction whose convergence depends on network structure, and quarantine optimization that reduces to matrix balancing with exponential convergence via primal-dual dynamics, tested on public county data.