Strengthening antimicrobial resistance governance in Europe: a coordinated one health approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Antimicrobial resistance (AMR) causes over 35,000 deaths annually in the EU/EEA and is projected to result in 1.91 million global deaths each year by 2050. The second Joint Action on Antimicrobial Resistance and Healthcare-Associated Infections (EU-JAMRAI-2), uniting 128 partners from 30 countries, represents a coordinated EU/EEA effort to curb AMR through a One Health approach. Although nearly all EU/EEA countries have an AMR National Action Plan, our initial assessment revealed that implementation remains constrained by limited resources, weak intersectoral coordination and fragmented leadership. EU-JAMRAI-2 addresses these challenges by promoting harmonized surveillance, strengthening infection prevention and control, applying behaviorally tailored stewardship interventions, ensuring sustainable access to essential antibiotics, and raising awareness among priority target audiences. By analyzing policy gaps and operational barriers, this paper underscores the need for stronger accountability and political commitment to translate strategies into sustainable action. Strengthening AMR governance through a unified European approach is essential to achieve effective, lasting progress against this silent pandemic.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it