Preventing malaria with AMF

A simple estimate for future mosquito-net programs supported by the Against Malaria Foundation. It connects a donation with acute malaria suffering that could be prevented in young children.

Funding need reported by AMF. Checked 11 October 2026. This is a program-level estimate using a documented campaign as a reference. It does not identify where your donation will be allocated.

Acute-malaria USU averted

≈100

per $1,000 donated · Central scenario

≈16

episodes prevented

≈0.086

direct malaria deaths prevented

All outcomes are modeled per $1,000 received by AMF. Young-child benefits over three years after distribution. Future locations and dates are unassigned. ≈100 is a deliberately coarse headline; the unrounded central calculation is 95.8 USU.

Our three scenarios give about 17, 96 and 373 USU per $1,000. They vary future costs, effectiveness and illness assumptions. They are illustrative scenarios, not statistical bounds or a guaranteed return.

Put a possible benefit beside the cost

Under our central assumptions, $1,000 received by AMF could prevent roughly 16 episodes of malaria in young children. The suffering avoided during those illnesses adds up to about 100 USU. Direct malaria deaths prevented are shown separately.

This gives a donor a concrete starting point for asking what their support might achieve and which assumptions matter most. It does not yet establish which charity is best. A fair comparison needs the same outcome coverage and cost basis.

One USU is a stipulated six-hour kidney-stone pain reference of 47.25 intensity-hours. It is a reporting unit, not an empirically established equivalence between malaria and kidney-stone pain. How the unit works

Try a donation amount and scenario

Lower, central and higher scenarios change the money-to-health estimate as well as the illness course. The inputs below are our explicit choices, not measured averages for AMF’s future portfolio.

Modeled benefit for $1,000

95.8USU averted

15.7episodes prevented

0.086direct deaths prevented

Central: 75% of reference effectiveness and 100% of reference cost. Nonfatal course: 4 days at intensity 3. Fatal course: 4 days at intensity 5.

Amounts scale linearly for illustration. This does not verify that each additional dollar has the same effect, or that a large donation can be absorbed at this rate. Actual results could be much lower if funding does not lead to additional delivery.

All outcomes below are per $1,000. Courses show nonfatal then fatal illness.
ScenarioRelative effectRelative costDays × intensityUSUEpisodesDirect deaths
Lower50%125%2 days × 2
2 days × 3
17.08.40.046
Central75%100%4 days × 3
4 days × 5
95.815.70.086
Higher100%80%7 days × 4
7 days × 7
372.826.10.143

Why these choices?

DRC is an unusually high-burden setting. We reduce the central reference effect by 25% when extending it to unspecified future programs. The exact discount is a judgment, not a measured country adjustment. The lower scenario uses half the reference effect with 25% higher costs. The higher scenario retains the reference effect with 20% lower costs.

“Relative effect” combines possible differences in disease burden, realized prevention and allocation. We apply it after the source’s adjustments. It is not another estimate of the same monitoring shortfall. Holding the illness course at its central values, these cost and effect choices alone give about 51, 96 and 160 USU per $1,000.

Illness assumptions are shared with the Chad malaria analysis. They are rough full-course averages, including relief, sleep and reduced awareness. The combined scenarios are not confidence intervals, and actual impact can fall outside them.

From a documented grant to a future scenario

  1. Use one recent, transparent reference

    GiveWell’s public 2026 DRC model estimates 7,395,818.973 under-five malaria episodes prevented in its core calculation. We apply its 22.0653% program-output reduction for grantee quality and other-funder effects, then divide by the matching $276 million grant.

    7,395,818.973 × (1 − 0.2206534809) ÷ $276,000,000 × $1,000
    = 20.8837 reference episodes per $1,000

    Applying this output reduction proportionally to episodes is a WSI assumption. GiveWell does not publish this as a USU estimate. This reference grant is already funded and is not the destination promised for a new donation.

  2. Keep direct deaths separate

    The core model’s 64,397.05782 under-five deaths include indirect deaths. We divide by 1 + 0.5687 to isolate direct malaria deaths, then apply the source’s separate 22.8447% mortality reduction.

    64,397.05782 ÷ 1.5687 × (1 − 0.2284469461)
    ÷ $276,000,000 × $1,000
    = 0.114758 reference direct deaths per $1,000

    This assumes the adjustments preserve the direct-to-indirect ratio. The source uses an under-five population with a mortality rate for ages 1–59 months. We retain that approximation.

  3. Make the future-program assumption visible

    Multiply reference outcomes by relative effectiveness, then divide by relative cost. The central scenario uses 0.75 ÷ 1.00, giving 15.6628 episodes and 0.086068 direct deaths prevented per $1,000.

  4. Assign one complete course to each avoided episode

    For the central course, nonfatal illness is 4 days at intensity 3 and fatal illness is 4 days at intensity 5. A fatal course replaces the ordinary course for each direct death prevented.

    [(15.6628 − 0.086068) × 4 × 24 × 3
    + 0.086068 × 4 × 24 × 5] ÷ 47.25
    = 95.8 USU per $1,000

    Death itself, lost life years and bereavement receive no USU. Linear weighting, p = 1. We include only the acute illness suffering avoided.

Inspect the source cells

Main CEA, DRC column K. H8 is the grant denominator. Source output adjustment K246 = (1 + K244) × (1 + K245) − 1. Mortality adjustment K252 includes the additional 1% reduction in K250. We apply each adjustment once.

Source fieldValueCell
Grant size276,000,000Main CEA!H8
Total spending by all contributors291,589,543.3Main CEA!K16
Indirect malaria deaths per direct malaria death0.5687Main CEA!K99
Total deaths averted among people under age 564,397.05782Main CEA!K110
Malaria cases averted among people under age 5 in the 3-year period following a distribution7,395,818.973Main CEA!K128
Total supplemental grantee-level adjustment-0.12Main CEA!K244
Leverage and funging adjustment for counterfactual impact estimates-0.1143789556Main CEA!K245
Overall adjustment for program outputs-0.2206534809Main CEA!K246
Total supplemental intervention-level adjustment affecting lives saved-0.01Main CEA!K250
Overall adjustment for program outcomes-0.2284469461Main CEA!K252
Total nets distributed that wouldn't have been distributed otherwise45,908,948.61Main CEA!K255
Total lives saved that wouldn't have been saved otherwise67,412.87916Main CEA!K259

The grant’s roughly 67,000 final deaths prevented include other age groups and indirect deaths. That headline is not used as the numerator for this child-focused USU estimate. The workbook hash and precise retained inputs are in the JSON download.

A donation still depends on delivery partners

The earlier DRC worked example reports about 160 USU per $1,000 of full modeled delivery costs before final grant adjustments. This page instead uses grant dollars, includes the source’s adjustments, and adds explicit future-program assumptions. The two numbers should not be ranked against each other.

GiveWell’s DRC grant report explains how additional funding interacts with delivery spending and nets that other funders would otherwise provide. Our denominator is the $276 million grant matched to its model, not the retail price of a net or the entire nationwide campaign budget.

AMF says public donations buy nets, while other funding supports delivery and monitoring. We provisionally assume a new dollar has the same grant-equivalent role after the modeled co-funding and displacement effects. That equivalence has not been verified for AMF’s next allocations. We do not multiply the result again to credit cheaper net-only purchases.

If partner delivery funding does not materialize, nets arrive late, or another donor would have paid anyway, the result can change substantially. The scenarios illustrate some variation; they do not resolve these unknowns.

AMF reports about $44 million in immediate need

AMF’s funding page listed a $43.83 million immediate funding gap when checked. Its detailed table placed the remaining gap in two provisional programs whose countries were not disclosed. This is evidence of a reported organization-level need, not confirmation of a named open campaign.

The source is marked “Currently updating” and includes older background text. We use its dated immediate-gap table, retain the reported amount as a snapshot, and do not attach the DRC impact model to either unnamed program. We have not obtained direct confirmation from AMF.

Support AMF’s malaria-net work

The link opens AMF’s general donation options. AMF determines allocation; this page does not reserve funds for a specific country or campaign.

Donation options at AMF →

Before acting, check AMF’s funding page for changes and how AMF allocates donations. The displayed gap is not updated live.

What this estimate covers

Included

Acute malaria episodes and their direct fatal courses in young children. Benefits accumulate over three years after a modeled distribution. This is not an annualized figure or three years of suffering per episode.

Outside this first model

People aged five and older, indirect deaths, long-term complications, caregiver distress, bereavement and income effects. Net-related adverse effects are unestimated. The figure is a gross acute-malaria benefit, not a complete welfare score or a guaranteed lower bound.

Sources and reproducible inputs

  1. GiveWell’s public 2026 DRC modelRecent documented reference, retrieved 11 October 2026. One campaign model, not a measured portfolio average.
  2. GiveWell’s DRC grant reportApproved May 2026, published August 2026. Funding, counterfactual and co-funding context.
  3. AMF’s funding pageFunding snapshot checked 11 October 2026. Reported need is separate from the modeled impact.
  4. AMF, allocating donationsPublic net donations, distribution allocations and reassignment.
  5. Malaria course assumptions and clinical contextShared provisional WSI profiles v0.1.

Future updates can replace the reference with campaign-specific or portfolio evidence, update costs, or refine the shared illness courses. Each change will preserve the previous version and explain its effect.