Modeled estimate. Estimated by a model from published research. Methodology last updated .
Modeled estimate of child deaths from diarrhea attributable to the end of USAID funding for children's health programs, with sources.
This represents the estimated number of child deaths due to diarrhea attributed to termination of funding for USAID children's health programs.
Diarrhea is characterized by having at least three loose bowel movements in a day. The most common cause of diarrhea is gastroenteritis, which is a viral, bacterial, or parasitic infection of the intestines, often acquired from food or water that has been contaminated by fecal matter. The loss of water can cause symptoms of dehydration.
Diarrhea prevention includes improved sanitation, clean drinking water, hand washing with soap, breastfeeding for at least six months, and vaccination against rotavirus. Once acquired, diarrhea is treated with oral rehydration solution and/or zinc tablets, with the addition of intravenous fluids for advanced cases.
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USAID support for children's health programs was suspended on January 24, 2025.
Mortality statistics for many countries receiving USAID lag by a year or more, so the number presented for the current death toll is estimated using a mathematical model.
According to recently released USAID data, it is estimated that 14.7 million children will not receive treatment for pneumonia and diarrhea in 2025. Assuming an equal distribution between children treated for pneumonia and diarrhea through USAID, this would result in ~7.39 million children not receiving treatment for diarrhea due to funding discontinuation.
The case fatality rate for diarrhea in hospitalized children receiving treatment across 54 countries has been reported as 0.52%. Without treatment, it is assumed that this mortality rate will increase between 2-3 times (1-1.5%), resulting in a point estimate of 92,390 child deaths from diarrhea over the next year.
The displayed number is an interpolated estimate based on samples of output produced by the diarrhea mortality model at the Impact Counter project. The rate fitted from those samples corresponds to about 126,700 child deaths per year; where this differs from the initial point estimate above, the displayed counter follows the sampled model output.
On average, this model attributes one child diarrhea death to the funding cut every 4.15 minutes.
The Impact Counter's trackers freeze, by design, when they reach their one-year projection horizon (one year after the relevant funding cuts began); the project does not extrapolate beyond that point. This site's counter continues past that horizon, modeling later values as linear projections of the Impact Counter's final rates. That extension is this site's editorial choice, not the Impact Counter's.
Note: Unlike several other estimates on this site — malaria, AIDS, tuberculosis — this estimate has not been updated to use a more recent model, because no comparable epidemiological model of the funding cuts has been published for child diarrhea deaths. The Center for Global Development's cost-effectiveness tracker corroborates the overall scale of mortality from the USAID cuts but publishes no per-disease rates, and its authors describe their own figures as guesswork. The Impact Counter model therefore remains this counter's current source; this site revisits that choice as better models are published.
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Executive branch culpability for these deaths is not due to the lack of funding but to the abrupt termination of funding, which did not allow time for the aid effort to transition to other world aid agencies and NGOs. Regardless of whether other aid is now arriving, it could be, and that possibility reduces executive branch culpability over time, although the amount and schedule are debatable.
Culpability is modeled as attenuating over a four-year transition period from October 2025 through September 2029. Aid organizations have not offered a reliable schedule for the transition of children's health aid, so this model makes the assumption that this aid transition will follow the same four-year window over which the published PEPFAR transition plan schedules its handover. The model assumes culpability will follow an S-curve — slow at first while handover was barely possible, fastest in the middle years, tapering as an orderly transition nears completion.
This schedule reflects a judgment about how long a reasonable, orderly handover would have taken, not a measurement of the actual transition. Readers who weigh this differently can adjust it: the Model Explorer on this counter allows choosing other culpability schedules — including the staircase of the actual PEPFAR transition plan and this site's original two-year taper — as well as a maximum-culpability cap for those who attribute only a share of these deaths to executive branch policy.
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