Data sharing platforms to improve treatment outcomes in neglected tropical diseases
In plain English
AI plain-English summaryTens of thousands of patient records from treatment trials for five neglected tropical diseases will be pooled into a single, searchable data platform. These diseases—schistosomiasis, soil-transmitted helminths, visceral leishmaniasis, melioidosis, and scrub typhus—affect millions of people in low-resource settings, but treatment data remains scattered across individual studies and programmes. Without a centralised way to combine and compare this information, researchers cannot answer key public health questions, such as which drug regimens work best across different populations or how resistance is emerging. The platform will provide secure data upload, standardised mapping of diverse datasets, and a governance framework for equitable access. It builds on an existing malaria data platform, the WorldWide Antimalarial Resistance Network (WWARN), which has already demonstrated how pooled data can guide treatment policy. If successful, this project could transform how clinicians and policymakers use real-world evidence to optimise treatment protocols for these diseases, directly improving patient outcomes in regions where healthcare infrastructure is already strained. For melioidosis and scrub typhus, the project will first assess feasibility before committing to full platform development.
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