Evidence map›Paper›PMID 41807120›Full record

ArticleHealth policy and planning2026

Aid cut, lives lost: estimating the impact of USAID's withdrawal on maternal mortality in six African countries.

Matthew Cummins

Abstract read
In one paragraph

Article in Health policy and planning, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Matthew CumminsUnited Nations Population Fund, West and Central Africa Regional Office, 8 Route des Almadies, Dakar 10200, Senegal.ORCID 0000-0002-7768-985X

Funding

UNFPAWest and Central Africa Regional Office
6 · The paper itself

Abstract

In January 2025, the US government suspended and subsequently terminated the majority of United States Agency for International Development (USAID) programs. This study estimates the impact of that decision on maternal mortality in six highly vulnerable countries in West and Central Africa: Burkina Faso, Central African Republic, Chad, Mali, Niger, and Nigeria. Using a deterministic model grounded in regional health expenditure elasticities, the analysis projects how the sudden withdrawal of foreign aid affects health spending among populations in humanitarian need, under the assumption that no immediate domestic or external financing substitutes for the lost resources, and the resulting changes in maternal mortality ratios (deaths per 100 000 live births). The results indicate that the funding cuts could cause maternal deaths to increase by 45%, on average, among populations in need. This increase is estimated relative to a baseline of approximately 2900 maternal deaths predicted in 2025, yielding approximately 1000 additional deaths across the countries within a single year. The magnitude of impact varies, with Niger experiencing the largest proportional increase (over 90%) and Nigeria the largest absolute increase (more than 300 additional deaths). Sensitivity analyses confirm that the results are robust to alternative elasticity scenarios. The findings illustrate the degree to which maternal health outcomes in fragile settings are sensitive to financing discontinuities. The results are presented as conditional estimates and are intended to inform ongoing discussions on health financing sustainability, transition planning, and risk mitigation.

Indexed as

Maternal MortalityUnited States Agency for International DevelopmentAfricaAfrica, CentralFemaleHealth ExpendituresHumansUnited Statesforeign aidmaternal healthmaternal mortalityofficial development assistanceprimary healthcare expenditureWest and Central Africa

Identifiers

PMID41807120
PMCPMC13187630

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.