Table 2.

Outstanding questions and data gaps

• Improving access to national data on fine resolution census and meteorological data  • Explore new methods of defining local population denominators and catchments  • Improving geo-coded inventories of health service providers  • Improved understanding of fever incidence, infection risk and treatment-seeking patterns across all age groups and genders, including better structured quantitative and qualitative methodologies  • Developing tools for tracking quality of data in routine data systems  • Surveillance for PfHRP2/3 deletions  • Building long-term, sustainable capacity in national malaria programmes (NMPs) to understand, interrogate, display and interpolate routine malaria data