This community innovation has been accepted at the 2025 DHIS2 Annual Conference
Strengthening data use: Automated Malaria Bulletin
Malaria bulletins are critical for monitoring national and subnational progress in malaria control, but their production is manual, process-intensive, time-intensive, and prone to errors. National bulletins production typically follow a quarterly schedule, while subnational level bulletins follow a quarterly or monthly cycle based on local needs and capacity. CHISU addressed these challenges by developing a malaria bulletin application based on the DHIS2 custom app specification. The application automates data collation, analysis, and presentation, leveraging DHIS2’s visualization and reporting features. A customizable template engine supports different administrative levels, while dynamic data visualizations and an AI-assisted narrative drafting tool expedite the creation of accurate, visually compelling bulletins. CHISU piloted the system at national level in Kenya, with plans for future testing at the county and sub-county level. Preliminary findings indicate an easier bulletin production and enhanced user collaboration. Subnational testing will further validate the application’s adaptability across diverse contexts, informing refinements for broader adoption. By leveraging both DHIS2 core capabilities and custom development, the malaria bulletin application demonstrates how technology can transform health data reporting into a timely and efficient process. Ultimately, this approach fosters a culture of data-informed decision-making and underscores the importance of integrating innovative technologies into national health information systems.
Primary Author: Stephen Osewe
Keywords:
Malaria Bulletins, DHIS2, AI-Assisted Reporting, Health Information Systems, Data Visualization, Automation, Data Use
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