Malaria Data Systems for Smarter Surveillance & Optimized Campaigns
Our platforms improve data quality and enable adaptive responses — helping governments and partners tailor interventions based on real-time insights and geospatial intelligence.
National malaria data repositories and associated data products
Malaria risk stratification and subnational tailoring
Malaria campaign digitalization
Digital solutions for malaria surveillance, community health services, georegistries, and supply chain management
Malaria control and elimination programs face critical obstacles due to fragmented and often unreliable malaria data. Improving malaria data systems is essential for better decision-making and more targeted interventions.
Limited digital tools hinder surveillance and routine monitoring of malaria control and elimination interventions.
Malaria surveillance, logistics, and campaign data are often siloed, limiting integration and insights.
Outdated or incomplete malaria data reduces the accuracy of intervention planning.
Campaigns and routine health services operate on separate data systems, creating inefficiencies.
Incomplete data on malaria commodities affects forecasting and stock management.
We help national malaria programs and their partners optimize their data systems for malaria surveillance, intervention planning, monitoring and evaluation through a range of digital solutions, including the following:
We support the development of centralized malaria data systems to improve visibility, coordination, and strategic decision-making. NMDRs unify fragmented data streams into a single platform, enabling comprehensive analysis and tailored planning at national and subnational levels.
We enable the end-to-end digitalization of malaria campaign operations, from microplanning to supervision and reporting. By combining geo-based tools with real-time data flows, our solutions improve coverage, accountability, and operational efficiency across bednet (LLIN), seasonal malaria chemoprevention (SMC), and malaria vaccination campaigns.
We support malaria programs in optimizing resource allocation through advanced risk analysis and data-driven planning. Our tools help prioritize interventions based on transmission patterns, seasonality, and health system capacity, ensuring smarter and more targeted responses.
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Public authorities
Ministries of Health, Social and Environmental Programmes, etc.
International organizations
World Health organization, UN agencies, etc.
Non-Governmental Organizations (NGOs)
International and in-country organizations
