Table 1.

Scenarios modelled

No.	Name	Description	Assumptions
1.	Baseline	Existing set of malaria control activities in 2018 Passive testing and treating of positive malaria cases (community and facility-based) Distribution of LLINs with coveragea and usage levels maintained at 2018 levels IRS coverage continued at 2018 levels (6%) Seasonal malaria chemoprophylaxis continued at 2018 levels IPTp continued at 2018 levels (~ 47%) Maintain proportions of participants who receive 1, 2, 3, 4, 5 doses Distribute routine LLINs to participants of IPTp	No cost and service difference between community and facility-based treatment avenues Mass distribution of LLINs every 3 years, in line with data (Coverage 2016-2018: 32%, 9%, 100%) Proportion of participants who take 1,2,3, 4, 5 doses of IPTp remains constant
2.	Fully-funded response (FFR)	Baseline + Test 100% of all suspected cases and treat 100% of positive cases IRS coverage > 80% (to cover Upper East, Upper West, Northern and Brong Ahafo Region (78% of population of the Savanna zone)) Increase IPTp3 to 80% SMC extended to Northern in 2019	Supportive supervision and training to enable better testing and treating (applied annually per PAR) IRS is an annual cost IPTp costs for dosage only (through existing ANC)
3.	Better use of nets	Fully-funded response + SBC (social and behavioural change) to increase the usage of LLINs	Distribution of LLINs every 3 years, en masse SBC costs applied to cover 1/3 of the country per year, allowing for full coverage with every mass distribution Costs applied annually at 1/3 coverage per par Impact of SBC: Increase in net use by 50%
4.	Health System Acceleration	Better use of nets + Increase treatment-seeking from 73% to 90% (through increasing SBC)	Increased SBC costs to increase treatment-seeking Costs applied annually per par
5.	Reverse	Cut IRS Cut SMC Cut nets by 50%
6.	Reverse 2	Cut IRS Cut SMC

^aLLIN coverage determined by LLIN usage and effectiveness at reducing transmission