Optimizing resource allocation across multiple interventions for cost-effective malaria prevention and control

Cube proposed by: Mark L. Wilson

Unit: Public Health

About this project: 
Prevention and treatment of malaria in underdeveloped countries is being pursued through multiple actions that include insecticide-treated nets, indoor residual spraying, environmental modification, anti-malarial drugs, and other interventions. These efforts, usually undertaken in contexts where product availability and cost are uncertain, are often subsidized by high income countries or philanthropic organizations that are increasingly interested in more efficient allocation of multiple interventions. Such optimal strategies, however, are complicated by the complex, even counter-intuitive interactions among different types of simultaneously implemented anti-malaria interventions. This project will develop data-driven, simulation and analytical/mathematical models to analyze the system dynamics of multiple interventions, evaluate the cost effectiveness of alternative treatment and prevention strategies, and evaluate supply chain uncertainties that hamper the effectiveness and efficiency of interventions. Analyses should help to optimize decisions concerning the types and amounts of anti-malaria interventions that will have the greatest impact on people's health.