MAPS Excel Cost Models

The Micronutrient Action Policy Support (MAPS) Tool is a web-hosted, co-designed tool (https://maps.micronutrient.support/) communicating estimates of dietary micronutrient (MN) supplies and deficiency risks at national and sub-national scales in Africa. The tool features QuickMAPS and cost-effectiveness modelling of interventions. This workbook contains the excel-based version of the large-scale food fortification (LSFF), biofortification, and agronomic biofortification cost models for Malawi and Ethiopia that underlie the cost modeling functionality in the online tool. We have taken an activity- and ingredients-based approach to modeling the cost of each intervention over a 10-year time horizon.

The additional or incremental activities and ingredients required to execute each type of micronutrient intervention were identified through a combination of literature reviews and interviews with international and local experts in LSFF and biofortification. Then, country-specific data to populate each parameter of the cost models (including intervention characteristics, quantities of inputs, unit costs or the value of each input, etc.), were based on local primary data collection (interviews with government, industry, local experts, and other stakeholders), review of existing budgets, online sources (e.g., GFDx, the UNICEF supply catalogue, etc.), and the literature. The source of each parameter is documented in each cost model. The sources do not identify specific individuals or organizations. More information about specific sources is available upon request. Where no data source could be identified, the source is listed as “assumed” or “estimate”, meaning that we were unable to identify a good source of data for that parameter and had to make an informed guess about its value. Note that for hypothetical interventions, default cost model parameters are based on both data collection relevant to the specific food vehicle or crop as well as imputed based on data collected on existing, related intervention program costs (e.g., if a country has an existing wheat flour fortification program but does not have a maize flour fortification program, some of the maize flour fortification cost modeling parameters may be borrowed from the wheat flour cost data).