Qualitative decision-analysis tool for prioritizing malaria interventions

What is it about?

We develop a mathematical model to determine how to distribute interventions against malaria over a several-year time horizon, subject to annual budget limits, and taking into account different geographic characteristics, and the impact that the interventions will have on malaria transmission. We find that the vaccine currently in development is unlikely to be cost-effective unless it can be distributed very inexpensively, or is highly effective. Additionally, the type of intervention to distribute depends on the geographic characteristics of the region -- a one-size fits all campaign is not effective. Lastly, being able to achieve high population coverage in a smaller number of districts is more effective than reaching a larger number of districts but covering a smaller percentage of the population in each district.

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Why is it important?

We provide a decision-analysis tool that aid organizations can use to inform interventions against malaria. Moreover, the principles can be extended to analyze interventions against other infectious diseases.