Investor Presentaiton

We identified five distinct levers that influence the overall costs of vaccine delivery 1 2 3 4 5 Number of delivery layers ■ Number of storage points between the state cold store and the health facilities, inclusive The delivery layer informs the cost of travel and storage We modelled the 4 possible delivery layers identified in Kano: - - S-Z-L-F (Vaccine push from state to zonal/satellite to LGA then to Apex facilities S-Z-F (Like S-Z-L-F, bypassing the LGA - S-L-F (Like S-Z-L-F, bypassing the zone - S-F (Like S-Z-L-F, bypassing the zone and LGA Source: Team analysis Number of health facilities ■ Number of destination health facilities ■ The number informs the capital cost investment required and the capital cost per health facilities ■ Deliveries were made to 390 health facilities in Kano state - We used the data to model the cost of delivering to 25 to 400 health facilities ■ Ө Frequency of vaccine deliveries ■ Scheduled time lag between deliveries per health facilities ■ The frequency informs the capital investment ■ The changes were to optimize the overall program costs Transportation type Type of automobile used for vaccine distribution Different automobile options require different number of units at varying prices ☐ We modelled vaccine deliveries using: - Trucks - Trucks and tricycles Trucks and motorcycle Responsibility for vaccine distribution ■ Refers to the parties that bear the responsibility of distributing vaccines to health facilities ■ We modelled the both systems deployed in Kano: - State-led deliveries (insourced) Third party logisticians Modelling the identified levers resulted in 9,216 different options for vaccine deliveries The options informed the analysis of trade-offs available to decision makers to minimize vaccine delivery cost

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