Integrated Economic-Epidemic Modeling of Avian Influenza Mitigation Options: A Case Study of an Outbreak in Texas

Recent World Animal Health Organization (OIE) reports on Avian Influenza (AI) outbreaks in Asia, Europe and Canada suggest that there is a nonzero probability that anoutbreak may occur anywhere in the world, including the US. To help evaluate possible policy in the face of such an event, this dissertation does an economic evaluation of the implications of using two mitigation strategies: one corresponding to the currently response strategy; and the other an OIE recommended one utilizing vaccination. To do this, the dissertation develops and uses an integrated economic-epidemic model. In thiseffort, I first estimate the cost of an AI outbreak under a deterministic disease spread assumption where a new vaccination strategy and the current strategy are compared. Subsequently, I introduce risk in the model and construct 95 percent confidence intervals forthe outbreak costs, and I rank the outcomes of the alternative strategies using stochastic dominance criteria. In addition, during both phases, I develop and estimate the breakeven probability for an event where ex-ante fixed costs of vaccine stockpiling arejustified by the reduction in disease event damages.Results under deterministic disease spread assumption suggest that the vaccination strategy lowers the cost of outbreaks as opposed to the current strategy. Thishappens because vaccination reduces the number of culled and quarantined flocks. The study is conducted in three locations, yielding the finding that the costs of an outbreak vary depending on the densities of poultry flocks. I also find that when consumerdemand shifts due to the outbreak, the costs are much larger. Finally, I find that ex-antevaccine stockpiling is justified for all the sub-regions if the probability of outbreakexceeds 0.07.The stochastic disease spread assumption results also show that the vaccinationstrategy dominates in first degree stochastic dominance sense. Consistent with stochasticdominance results, the 95 percent confidence intervals have narrower ranges under thevaccination strategy than without it. Finally, the distribution of the breakeven probabilityfor vaccine stocking has a mode of 0.07 and that the probability is accurate with 82 percentlikelihood. However, the threshold varies with the disease transmission parameters andcould reach up to 0.32.