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Functional Areas


Data Disaggregation and in-depth Analysis

For some selected indicators, the data reported to the Global Fund are to be disaggregated by relevant categories in order to gauge equity in service provision and to ensure that at-risk populations are receiving required services. Among categories of data disaggregation, age and gender are important characteristics. In addition, a good understanding of the geographic areas with the highest disease burden and rate of transmission is required, as is a detailed analysis of national and subnational data. If the existing data collection system cannot provide disaggregated data for the baseline, this should be noted in the comments. However, the work plan should include measures to improve the data collection system to allow for the disaggregated reporting that will be required during grant implementation.