Two approaches to preventing malaria

Seasonal medicine in Chad and mosquito nets in DR Congo illustrate how program costs translate into avoided illness. Both examples describe funded grants, with selected benefits shown per $100 in delivery costs.

These are program benchmarks. They do not establish what a new donation would achieve.

What the program models suggest

Both funded examples use full modeled delivery costs before final grant adjustments. The AMF donation estimate uses a different cost model and explicit assumptions about future delivery.

Young children’s acute malaria suffering, using the same USU assumptions. Each program uses its full modeled delivery costs. Deaths prevented are a separate outcome.

ProgramPeriod and populationUSU averted
per $100
Episodes
prevented
Direct deaths
prevented
Funding statusReport
Seasonal malaria medicineChad2026–27Seasonal rounds
Ages 3–59 months
≈17≈2.8≈0.017Funded grantWorked example
Insecticide-treated netsDR Congo2027–29 distributionsThree-year benefit model
Under-five population
≈16≈2.5≈0.014Funded grantSome repeat campaigns conditional

All three outcomes are per $100. These are modeled program benchmarks, not observed results or verified effects of a new donation. Gross acute-malaria benefit; adverse effects and longer-term effects are unestimated.

Similar estimates,
different programs

The central estimates are in the same broad range: approximately 17 USU for Chad and 16 for DR Congo per $100 of modeled delivery costs. The available evidence does not establish a reliable winner.

With the same illness courses, the USU comparison mostly follows the number of acute malaria episodes prevented. The value of a common suffering unit becomes more distinct when we compare experiences with different durations or intensities.

Death prevention remains visible alongside USU. The table does not assign USU to lost life years or capture every reason a program might be valuable.

One USU uses a stipulated six-hour kidney-stone pain reference totaling 47.25 intensity-hours. This reference defines the unit; the malaria intensity assignments remain provisional. About the unit

What to check before choosing between programs

Who benefits?

The SMC model targets children aged 3–59 months. The net model covers an under-five population, using a mortality rate for ages 1–59 months. We retain these source definitions rather than make an unsupported age adjustment.

Nets also protect older children and adults. This first comparison charges the full net-program cost while leaving those benefits out. It is a child-focused comparison, not total program value.

For how long, and at what cost?

SMC costs buy a seasonal round. Net benefits accumulate over three years after a distribution, potentially beyond 2029. Both rows count the modeled benefit purchased by $100; neither is an annualized score.

Cost estimates come from 2025 and 2026 source models and are not inflation-standardized. Disease risk, coverage and program baselines also differ. The difference between these two scores should not be read as a measured treatment advantage.

Both rows use core program-model outcomes before final grant-level adjustments for monitoring, other funders and supplemental effects. Those choices make the calculation traceable, but they do not establish the impact of marginal funding today.

Change the illness course for both programs

The same lower, central or higher course is applied to both rows. Program costs and episodes prevented stay fixed.

Chad · Seasonal medicine17.3USU per $100

DR Congo · Mosquito nets15.5USU per $100

Central: nonfatal course, 4 days at intensity 3; fatal course, 4 days at intensity 5.

Rounded to one decimal place here so you can inspect the calculation. These scenarios only vary the USU mapping.

This calculator illustrates the model. It does not make a payment or collect a donation.

AssumptionsNonfatal days × intensityFatal days × intensityChad USUDR Congo USU
Lower2 days × 22 days × 35.85.2
Central4 days × 34 days × 517.315.5
Higher7 days × 47 days × 740.536.2

These are sensitivity scenarios, not confidence intervals or full uncertainty bounds. Changing the same illness assumptions does not test differences in disease burden, costs or real-world effectiveness between the two programs.

Display update: this page uses $100 throughout. Original model v0.1 downloads retain their $1,000 reference budget; divide their budget-scaled outcomes by 10 to reproduce this display. Unit costs, illness profiles and assumptions are unchanged.