A multivariate uncertainty analysis was conducted to approximate uncertainty surrounding avoidable deaths in light of uncertainty in resource spare capacity and effectiveness, which may vary between settings. Specifically, the proportion of ''general'' healthcare resources within each province/district that would be available to care for pandemic influenza patients was allowed to vary between 5-20%, and parameters describing the effectiveness of each resource for reducing the risk of death in cases requiring those resources were allowed to vary independently between a wide range of 20-80%. We also explored the impact of relaxing the assumption that oseltamivir administration is restricted to severe influenza cases, by allowing between 0-5% of mild cases to be treated. One hundred combinations of values were chosen randomly from these ranges using Latin hypercube sampling, and simulations were run using each combination. The medians, interquartile ranges (IQR) and 95 th percentile ranges of model outcomes were then calculated across the simulations.