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Cost-effectiveness estimatesMalaria Consortium (South Sudan - LLINs)
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Summary cost per DALY calculation
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IndicatorsEstimatesSources
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Number of people reached 7,713,018 Monitoring report
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Number of nets distributed 4,285,010 Monitoring report
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Number of additional people received nets due to digital intervention 1,045,114 Estimated
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Number of people were protected (person years protected) 1,172,618 Estimated
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Overall case averted in a year (all age group) 1,171,475 Estimated
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DALYs averted from Malaria morbidity 2,273 Estimated
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Number of under five children among the group 204,036 Estimated
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Death averted (under five children) 1,143 Estimated
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DALYs averted from Malaria mortality among under five children 32,107 Estimated
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Total DALYs averted 34,380 Estimated
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Total costs 3,381,847 Estimated using monitoring report
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Cost per DALY averted 98 Estimated
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Cost per DALY averted without discounting 46 Estimated
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Monitoring data
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ItemDescription/valuesComments
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Year2022-2024
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Name of the country South Sudan
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Name of the programme LLIN distribution in South Sudan strengthened through the use of digital tools
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Brief description of the programmeIn 2022, Malaria Consortium supported the national Ministry of Health (NMOH) to transition from a paper-based to a digital LLIN campaign piloted in Central Equatoria State (Northern Bari and Rajaf Payam of Juba County) to facilitate universal health coverage.

Digitalization of LLIN is also embedded in the Malaria Strategy. The tool improved coverage accuracy; enhanced accountability and auditability; enabled faster reporting and decision-making; and supported better planning for future campaigns. The tool was used for:
Household Registration - field teams used Android devices with DHIS2 Capture to register households at the Boma level. Each household was geo-tagged and assigned a unique ID, improving traceability and reducing duplication

Real-Time Monitoring - Supervisors could monitor progress live from central dashboards and this fostered quick identification of coverage gaps or logistical issues
Offline Functionality

The offline functionality of the tool was instrumental towards improving data capture. In areas with poor connectivity, data was collected offline and synced later when internet access was available.

LLINs remain one of the most effective and widely used malaria prevention tools in South Sudan. They offer double the protection compared to untreated nets, with the potential to reduce uncomplicated malaria cases in high-transmission areas by 50% and childhood mortality by up to 25%.

The digital LLIN campaign in Central Equatoria formed part of Malaria Consortium’s larger initiative to support mass LLIN distribution across six states in South Sudan
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Objective of the programmeTo achieve universal LLIN coverage (1 net per 1.8 persons) to reduce malaria transmission
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Outcome description95% household reached
98% population coverage
100% of LGAs submitted daily reports via DHIS2
- Reduced Errors: Real-time digital data capture using mobile devices minimized manual entry mistakes common in paper-based systems.
- Faster Decisions: Instant data uploads enabled timely supervision and quick responses to issues like stockouts or low coverage.
-High Field Worker Acceptance: User-friendly app design and inclusive training fostered strong engagement and pride among field staff

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Target group (age specific/description)• Pregnant women
• Children under five years old
• Persons of concern (refugee camps and returnees)
• People living in high malaria transmission areas, especially during the rainy season (May to November)
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Total Target Population by age group/target group in number7,000,000
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Number of population reached for each group7,713,018
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Gender distribution of the beneficiariesn/a (households targeted)
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Programme start date01/07/2022 to 31/Dec/2024
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Duration of the programme2.5 years
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List of outcome indicators (prevention of morbidity / mortality)
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Indicator 1Number of nets distributed
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Indicator 2Number of people who received nets
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Baseline status of the outcome indicators
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Indicator 1No baseline available
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Indicator 2No baseline available
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Endline status of the outcome indicators after evaluation or effect size of the programme after evaluation
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Indicator 14,285,010The evaluation result, change in the indicator due to intervention. ( The report did not include or mention mention of the outcome considered for DALY calculation)
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Indicator 27,713,018
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Indicator 3
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Cost of the programme/intervention in details
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Cost of capital items$5,983
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Costs of recurrent items$110,192
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Total costs$116,175 $118,769 in 2024
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In 2024$118,769
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Additional costs for net distribution$3,263,078
Overall economic costs of net distribution is US$ 4.41~$5.62 in 2024. https://doi.org/10.1016/j.actatropica.2019.105229
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Total costs$3,381,847
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Other statistics
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Life expectancy at 2.5 years62.8
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Life expectancy with 3% discount over the life years28
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Other statistics / data for DALY calculation
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Population in south sudan 2023
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 1 484 1,483,636
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 1 455 1,454,617
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 1 638 1,638,049
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 1 443 1,442,739
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 1 115 1,115,375
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 716 716,197
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 593 592,578
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 554 553,886
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 624 623,789
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 557 556,732
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 436 436,373
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 312 311,576
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 223 223,389
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 152 152,193
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 93 93,168
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 54 54,497
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 25 25,295
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 8 8,016
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 1 1,194
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 0 61
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 0 19
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Total 11,483,374
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Percentage received nets67.2%
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83
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Incidence
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South Sudan WHO
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Malaria associated death per 100,000 population, likely underestimated
16.9
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per 1000 68.07
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Number of cases in 2022233000000
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Disability Weight
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Moderate malaria DW0.050594946
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Deaths
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Number of deaths580000
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Rate 0.002489270386
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Per 100000248.9
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South sudan estimated
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Malaria cases reported in 2024 in south sudan3800000
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Total death 1,940.69
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Estimated malaria death in 20236,700World Malaria Report - Country Profile