Table 2 Outstanding questions and data gaps
From: Routine data for malaria morbidity estimation in Africa: challenges and prospects
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• 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 |