Adaptive Malaria Control
Adaptive Malaria Control 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.
The methodology we describe here 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.
A goal for adaptive malaria control is to develop advice that is robust to uncertainty. To develop robust advice, we developed RAMP (=Robust Analytics for Malaria Policy), an inferential system bespoke for malaria policy that combines conventional and simulation-based analytics and that has gone to great lengths to characterize, quantify, and propagate uncertainty.
Here, we describe RAMP and adaptive malaria control with a focus on developing the supporting concepts and methods.
We have presented the material in this website in a series of short focused essays or vignettes. The sidebar presents an outline of the material with links to the vignettes. A good place to start is the Overview
In the navigation bar (at the top), there are some additional links:
Related Content includes links to websites developed to support RAMP and Adaptive Malaria Control.
Essays includes links to short vignettes around concepts and essays that don’t fit naturally into the the flow of topics in the sidebar.
We have implemented the methodology for the national malaria program in Uganda. To learn more, please see the companion website Adaptive Malaria Control, Uganda