*How can we prioritize eradication strategies in a manner that takes into account local resources, capabilities, and priorities? For example, for control of malaria, what are the optimal combinations of emerging vaccines, vector control, and protective items such as bednets (or high quality housing stock) for local control of malaria? What are the signals or data inputs that tell us that a malaria control strategy needs modification for a given region, or that control strategies within a given region are failing and need revision? 

*Indices of government corruption (e.g., Transparency International's Global Corruption Index) correlate well with local burden of mortality due to persistent infectious diseases. Can models provide insights into the interactions between complex systems (e.g., disease systems, systems of governance, and multinational aid organizations) that enhance the likelihood of successful disease control? 

*Laxminarayan has shown that antimicrobial resistance is strongly analogous to the problem of depletion of a natural resource, and consequently amenable to representation using models derived from environmental economics. Similarly, game-theoretical approaches have given important insight into vaccination strategies. Many other persistent hurdles to disease eradication are amenable to investigation with ideas and tools from economics. How can economic approaches be used to understand and eliminate incentives for behaviour that goes against the public good, or long-term interests?