Molecular Subtyping for <i>Escherichia coli</i> O157:H7 Isolated in Taiwan
Bibliographic record
Abstract
Enterohaemorrhagic Escherichia coli O157: H7 is an important pathogen these days. Outbreaks of its infection have been reported all over the world, in Australia, Canada, Japan, the United States, south Africa, and various countries in Europe. In the summer of 2001, the first clinical infection by E. coli O157: H7 was identified in Taiwan. In this study, the standard procedures for molecular subtyping were applied to several strains collected in Taiwan as well as from elsewhere. The two molecular subtyping methods we used are pulsed-field gel electrophoresis (PFGE) and amplified fragment length polymorphism (AFLP). The isolates from the U.S.A., Canada, Japan, and Taiwan each showed a unique molecular fingerprinting pattern. The environmental strains isolated in Taiwan showed closer relationships with each other, and their similarity was in the range of 75-85%. The first clinical strain isolated in Taiwan in 2001 was similar to the strains from North America but not closely related to the Taiwanese environmental strains. Our surveys showed that some local E. coli O157: H7 strains did exist in Taiwan, but there had been only one official case report of the infection by local E. coli O157: H7. The eating habits of the people and the geographic distribution of the pathogen are considered crucial risk factors in Taiwan. The establishment of a database of our own and joining the global network database are important tasks if we want to control such agricultural and food-borne pathogens, and reduce the number of victims and amount sufferings, as well as the economic losses due to the infection.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".