S05.4 Integrating Antimicrobial Susceptibility Monitoring in<i>Neisseria Gonorrhoeae</i>to Broader AMR Agenda
Bibliographic record
Abstract
Background Based upon the strategies of the WHO “Global action plan to control the spread and impact of antimicrobial resistance inNeisseria gonorrhoeae”,a plan was developed and implemented to align GASP related activities within the broader agenda of the Antimicrobial Resistance Latin-America Network. Spite of the achievements of GASP in the last decades, there was a need to increase the number of countries and institutions collaborating inN. gonorrhoeaesusceptibility surveillance. In order to achieve this, a comprehensive plan to strengthen the capacity of the Latin-America National Reference Laboratories (NRL) to conduct AMR surveillance in a systematic and regular manner to ensure the early detection of resistantN. gonorroheaewas implemented. Methods After a number of communications and training activities with the NRL,N. gonorrhoeaesusceptibility 2010 data were collected through a questionnaire sent to the National Reference Laboratories in Latin America. Data included country, number of isolated tested, and percentage of resistance to cefixime, ceftriaxone, ciprofloxacin, spectinomycin, penicillin, and tetracycline. Results From 21 Latin American countries integrating the network, 8 (38%) provide data. None of them detected decreased susceptibility to ceftriaxone; resistance to ciproloxacine ranked from 0% to 83%; penicillin from 6 to 78%; no resistance to spectinomycin; resistance to tetracyline from 27 to 83%. Conclusions The NRL demonstrated certain capacity and commitment to collect, analyse, and report data on N. gonorrhoeae susceptibility, however, this should be strengthned and expanded to more countries in the Region. Broad differences among countries were observed, specially on the susceptibility to ciprofloxacine and penicillin. Some challenges were identified, such the lack of a system for referral of specimens at national and regional level. This effort should be continued, emphasising the importance of periodicity on data collection, analysis and dissemination.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".