Adaptive Malaria Control, Uganda

Robust Analytics for Malaria Policy

Adaptive malaria control is a methodology for managing malaria with high quality, robust analytics that includes two essential components:

• it should be iterative; and

• it should be designed to identify, prioritize, and fill critical uncertainties.

This methodology draws on principles developed for adaptive management of natural resources, including a reliance on mathematical theory and models. The concept is not entirely new to malaria, but it had not been formally described as a methodology or implemented by a national malaria program.

Over the past three years, we have defined adaptive malaria control as a methodology and developed a prototype for Uganda in collaboration with the National Malaria Control Division and the Department of Health Information.

• To learn more about Adaptive Malaria Control in Uganda, please read the Overview.

• We have presented the material in this website in a series of short focused essays or vignettes. The sidebar presents an outline of the project with links to the vignettes.

• For a more academic discussion of robust analytics for malaria policy (RAMP), the bespoke inferential framework we developed to support malaria analytics and adaptive malaria control, see the companion website Robust Analytics for Adaptive Malaria Control.