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Record W4414706608 · doi:10.1016/j.glohj.2025.09.003

Mapping government financing for antimicrobial resistance responses in East and Southern Africa: implications for sustainability and domestic ownership: a narrative review

2025· article· en· W4414706608 on OpenAlexfundno aff
Ferris T. Munyonho, Oscar Mano, Silizani Masiku, Bridget Lumbwe, Hazel Musuka, Amon Nsengimana, Enos Moyo, Tafadzwa Dzinamarira

Bibliographic record

VenueGlobal Health Journal · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsnot available
FundersMinistère de la Santé et des Services sociaux
KeywordsGovernment (linguistics)AccountabilitySustainabilityResistance (ecology)Action (physics)Global healthPublic healthNarrative

Abstract

fetched live from OpenAlex

Antimicrobial resistance (AMR) poses a significant and growing public health challenge in East and Southern Africa. Despite formal commitments to the National Action Plans, domestic financing for AMR remains critically limited, with most countries continuing to depend heavily on external donor funding. This narrative review examines the current extent to which domestic fiscal commitments align with national AMR policy goals across the two regions. Government websites for ministries of health and finance, donor platforms, and three academic databases (Scopus, JSTOR, Google Scholar) were searched for eligible articles. National budget statements and media reports were also reviewed where available. Three researchers independently screened titles and summaries, followed by full-text reviews to confirm eligibility. The findings reveal that while several countries have developed National Action Plans, very few have allocated domestic funding to implement them. Only Malawi, Nigeria and Uganda reported modest domestic contributions, while in other countries such as Zambia, Ethiopia, and South Africa, AMR programs remain largely donor-financed or lack dedicated budget lines altogether. Veterinary and laboratory sectors are particularly underfunded, with minimal integration into broader AMR strategies. While this review has several limitations including restricted access to current, comprehensive national budget data and a reliance on secondary sources such as donor and World Health Organization reports, which may introduce bias, the patterns identified in this review still offer valuable insight into regional funding dynamics and can inform future policy and research efforts. We conclude that without dedicated domestic financing and accountability mechanisms, AMR efforts in the region may face significant sustainability challenges observed in other health responses such as HIV. Strengthening AMR governance requires clear budgetary commitments, sustainable co-financing models, and policy instruments to reduce dependency on external support.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0100.014
Science and technology studies0.0010.001
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.328
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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