Resources

The Gates Foundation-funded project, MACEPA has long-standing relationships with National Malaria Programs, providing data analytics and modeling support to aid in data-driven decision-making. In 2024, MACEPA began a two-year fellowship program supporting individuals living in malaria-endemic countries to strengthen their data skills to support National Malaria Programs beyond their fellowship.

A robust malaria surveillance system is the backbone of malaria control and elimination. Data visualization, analysis and use are critical to better understanding the data produced by malaria surveillance systems, assessing and communicating their implications for national malaria programs, and leveraging data and learnings to inform decision-making on implementation of malaria interventions.PATH's Malaria Control and Elimination Partnership in Africa (MACEPA) works with national malaria programs and district health teams to generate high-quality, actionable data products through functional surveillance systems, and increase data use for timely decision making. In collaboration with the Ministry of Health (MoH), PATH MACEPA in partnership with Bluesquare developed and facilitated the development and rollout of a national malaria intelligence platform to guide and inform malaria decision making in the Democratic Republic of the Congo (DRC).An overview of the process, challenges faced, lessons learned, and recommendations are documented and described in this technical brief.

Malaria is a major public health problem in the Democratic Republic of the Congo (DRC). It is the leading cause of morbidity and mortality in DRC, with 27.3 million cases of malaria and 24,880 malaria deaths reported in 2022.An effective surveillance, monitoring and evaluation (M&E) system that produces high quality data is essential for the monitoring of malaria trends, evaluation of the impact of malaria control interventions, and evidence-based decision-making. Problems with the quality of malaria data persist in the DRC, limiting the national malaria control program’s (NMCP) informed decision-making and ability to launch a timely response to identified priorities.To address this need, the DRC NMCP – with support from PATH MACEPA – has developed a decentralized routine data quality audit (RDQA) process that was piloted in four health zones in Haut-Katanga. An overview of the pilot, preliminary results, and next steps are summarized in this brief.

Malaria is a major public health problem in the Democratic Republic of the Congo (DRC). It is the leading cause of morbidity and mortality in DRC, with 27.3 million cases of malaria and 24,880 malaria deaths reported in 2022.An effective surveillance, monitoring and evaluation (M&E) system that produces high quality data is essential for the monitoring of malaria trends, evaluation of the impact of malaria control interventions, and evidence-based decision-making. Problems with the quality of malaria data persist in the DRC, limiting the national malaria control program’s (NMCP) informed decision-making and ability to launch a timely response to identified priorities.To address this need, the DRC NMCP – with support from PATH MACEPA – has developed a decentralized routine data quality audit (RDQA) process that was piloted in four health zones in Haut-Katanga. Pilot methodology, preliminary results, and key recommendations are summarized in this technical brief.

A report that describes the work that defined the first decade of the PATH Malaria Control and Elimination Partnership in Africa (MACEPA).