Optimizing Spatiotemporal Antiviral Release Schedules in a Pandemic Influenza

To help the state of Texas plan pandemic influenza interventions, we build a stochastic mixed-integer program to compute time-based antiviral releases. We can derive millions of scenarios in the stochastic program from an epidemic simulator that accounts for large amount of uncertainty in the disease progression. We study techniques to solve this problem, as a direct-solve is intractable.