# Distributed Resource Allocation for Epidemic control

arXiv: https://arxiv.org/abs/1501.01701 · HTML: https://mlsanity.com/paper/1501.01701/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Jan 2015.

## Built on by (most cited first, 1 of 1)

- [Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty](https://mlsanity.com/paper/2605.26093/) (2026)

## Abstract (arXiv)

We present a distributed resource allocation strategy to control an epidemic outbreak in a networked population based on a Distributed Alternating Direction Method of Multipliers (D-ADMM) algorithm. We consider a linearized Susceptible- Infected-Susceptible (SIS) epidemic spreading model in which agents in the network are able to allocate vaccination resources (for prevention) and antidotes (for treatment) in the presence of a contagion. We express our epidemic control condition as a spectral constraint involving the Perron-Frobenius eigenvalue, and formulate the resource allocation problem as a Geometric Program (GP). Next, we separate the network-wide optimization problem into subproblems optimally solved by each agent in a fully distributed way. We conclude the paper by illustrating performance of our solution framework with numerical simulations.