Adaptive management analytics, data pipelines and data dashboards provide Uganda's national malaria program with routine access to information critical for resource allocation and management decisions.
View the Uganda Weekly Malaria Report
…malaria is so moulded and altered by local conditions that it becomes a thousand different diseases and epidemiological puzzles. Like chess, it is played with a few pieces, but is capable of an infinite variety of situations.
-Hackett (1937)
To minimize the health burden of malaria, Robust Analytics for Malaria Policy (RAMP) combines close-to-real time data and robust analytics to better understand which interventions work best in different Ugandan communities. This helps optimize resources and tailor prevention and treatment strategies for maximum impact.
Fighting malaria is complex and requires a thorough understanding of epidemiology, entomology, transmission, ecology, demographics, health systems, human behaviors, intervention coverage, and costs. Analytic tools help elucidate the best intervention strategies in the context of variable characteristics and uncertainty.
The RAMP team generates timely reports on key malaria metrics on weekly, monthly, quarterly, and 5-year planning cycles, enabling policy review, surveillance system updates, strategic refinements and programmatic pivots in response to the closer-to-real time data.
RAMP brings leading experts from Pilgrim Africa and the University of Washington together under the auspices of the Uganda Ministry of Health to address Uganda’s national malaria policy and program needs.
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Adaptive malaria control aims to turn data into information through the integration of critical context, often in the form of a model that triangulates multiple types of data and reflects an understanding of how different processes are connected. This information is then transformed into intelligence through inclusion in consistent reports that enable tracking of key metrics in response to intervention delivery.