What is behind phylogenetic analysis of hospital‐, community‐ and livestock‐associated methicillin‐resistant<i>Staphylococcus aureus</i>?
Bibliographic record
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) has been shown to be the predominant life-threatening pathogen in Egypt. MRSA is a major cause of severe healthcare-associated (HA) infections. During the last decades, the incidence of community-associated (CA) MRSA infections has a complex epidemiology arising from the circulation of different strains in the general population. Moreover, livestock-associated (LA) MRSA emerged recently becomes an emerging threat to public health. Therefore, it is important to illuminate the differences between CA-, HA- and LA-MRSA to shed light on their genetic diversity and evolution. This study presents the first data on analysing the correlation between CA-, LA- and HA-MRSA using antibiogram typing, molecular characteristics and antimicrobial resistance and virulence genes' profiles. Overall, HA-MRSA strains tended to be multidrug resistant and less virulent than both LA- and CA-MRSA strains. Importantly, CA-MRSA strains had a high homology with each of HA- and LA-MRSA. However, no similarity was observed between HA- and LA-MRSA. Our findings suggest that the epidemiological changes in genetic behaviour between HA- and LA-MRSA are due to the presence of CA-MRSA confirming that CA-MRSA has created a public health crisis worldwide.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".