  In this letter we propose a method for sparse allocation of resources to
control spreading processes -- such as epidemics and wildfires -- using convex
optimization, in particular exponential cone programming. Sparsity of
allocation has advantages in situations where resources cannot easily be
distributed over a large area. In addition, we introduce a model of risk to
optimize the product of the likelihood and the future impact of an outbreak. We
demonstrate with a simplified wildfire example that our method can provide more
targeted resource allocation compared to previous approaches based on geometric
programming.
