Evidence map›Paper›PMID 41255763›Full record

ArticleFrontiers in veterinary science2025

Building capacities in Sub-Saharan African countries for antimicrobial resistance surveillance in the food and agriculture sectors using the FAO ATLASS tool.

Labia Irene I Ouoba, Michael Treilles, Ranyl Nguena Guefack Noumedem, Nicolas Keck, Joshua Kimutai Kiptiness, Alpha A Diallo, Béatrice Mouillé, Morgane Gourlaouen, Tabitha Kimani, Mark Obonyo and 7 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

17 authors.

Labia Irene I OuobaRegional Office for Africa, Food and Agriculture Organization of the United Nations (FAO), Accra, Ghana.
Michael TreillesFood and Agriculture Organization of the United Nations (FAO) Headquarters, Rome, Italy.
Ranyl Nguena Guefack NoumedemRegional Office for Africa, Food and Agriculture Organization of the United Nations (FAO), Accra, Ghana.
Nicolas KeckFood and Agriculture Organization of the United Nations (FAO) Headquarters, Rome, Italy.
Joshua Kimutai KiptinessFood and Agriculture Organization of the United Nations (FAO), Nairobi, Kenya.
Alpha A DialloFood and Agriculture Organization of the United Nations (FAO), Dakar, Senegal.
Béatrice MouilléFood and Agriculture Organization of the United Nations (FAO) Headquarters, Rome, Italy.
Morgane GourlaouenFood and Agriculture Organization of the United Nations (FAO) Headquarters, Rome, Italy.
Tabitha KimaniFood and Agriculture Organization of the United Nations (FAO), Nairobi, Kenya.
Mark ObonyoFood and Agriculture Organization of the United Nations (FAO), Harare, Zimbabwe.
Mamadou NiangRegional Office for Africa, Food and Agriculture Organization of the United Nations (FAO), Accra, Ghana.
Esther DsaniFood and Agriculture Organization of the United Nations (FAO) Headquarters, Rome, Italy.
Francesca LatronicoFood and Agriculture Organization of the United Nations (FAO) Headquarters, Rome, Italy.
Alejandro Dorado GarciaFood and Agriculture Organization of the United Nations (FAO) Headquarters, Rome, Italy.
Emmanuel KabaliFood and Agriculture Organization of the United Nations (FAO) Headquarters, Rome, Italy.
Junxia SongFood and Agriculture Organization of the United Nations (FAO) Headquarters, Rome, Italy.
Mohamed ShamsuddinRegional Office for Africa, Food and Agriculture Organization of the United Nations (FAO), Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FAO has developed the 'Assessment Tool for Laboratories and AMR Surveillance Systems" (FAO-ATLASS) to support the national food and agriculture sectors in describing and assessing their AMR surveillance system in a standardized manner. Between 2018 and 2024, 221 laboratories and 24 national AMR surveillance systems were assessed in 27 Sub-Saharan African countries. The assessments assigned Progressive Improvement Pathway (PIP) stages from "1-limited" to "5-sustainable," with stage "3-developed" considered sufficient for reliable AMR data production. The compilation of assessments enabled identification of common gaps that guided FAO interventions to efficiently support capacity building for AMR surveillance in Africa. The impact of the evaluations and follow-up interventions was investigated through a post-ATLASS survey involving 15 of the 27 countries assessed and 112 of the 221 laboratories. The assessments showed that 21 (9.5%) and 6 (2.7%) laboratories were at PIP stages 3 and 4, respectively, while other laboratories (86.5%) are at PIP stage 1 and 2. Two (8.3%) AMR surveillance systems were at PIP stage 3, and others (92.6%) were at PIP stage 1 or 2. Quality assurance was the most critical gap for laboratories; the access to reference strains, reagents, and participation to proficiency testing (PT) scheme were among the major common concerns. For surveillance systems, the data production (laboratory network and data collection/analysis) were the main areas to improve. The post-ATLASS survey carried out in 2024 indicated that over 90% of the countries and 50% of laboratories received support from FAO and partners mainly for training, provision of reagents and equipment (60%), enrolment in PT program (73%), development of AMR surveillance strategy and SOPs on AMR detection (53%). Ten laboratories moved from PIP stage 2 to 3, eight from stage 1 to 2, and two from stage 2 to 4. For about 60% of the laboratories, the respondents reported that the management showed better commitment in supporting AMR activities. Implementation of AMR surveillance is now effective in 80% of the countries surveyed (initial of 33%). The results of this analysis indicate that AMR surveillance systems are progressively improving in African countries; however, sustained efforts are necessary to ensure the production of reliable data in the majority of countries and to inform evidence-based interventions against AMR.

Indexed as

antimicrobial resistanceFAO-ATLASSfood and agriculturelaboratorysurveillance

Identifiers

PMID41255763
PMCPMC12621323

What OpenQuestion holds

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LicenceCC BY
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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.