Evaluation of Clinical Symptoms Related to Common Serogroups of Leptospirosis in North of Iran
Bibliographic record
Abstract
Leptospirosis is a common disease between humans and animals. Identifying common serogroups and comparing different clinical symptoms among them can help in finding the clinical pattern associated with pathogen serogroupes of leptospirosis. Therefore, the purpose of this study has been to investigate the common serotypes of the infection and their clinical symptoms in northern Iran. This cross-sectional study was carried out in educational hospitals of Babol University of Medical Sciences during the years 2011- 2014. Subjects with clinical findings consistent with leptospirosis were included in the study. According to the standard MAT guidelines, the titre >=1: 200 was considered positive. Then, the patients identified by serogroup separation, were examined and compared clinical symptoms. Among 6o patients with primary diagnosis of leptospirosis in this study, 35 of them proved to be infected to the disease. The most common serogroups were serjoe (40%) and icterohemorrhagia (31.4%). Autumnalis (22.8%), grippotyphosa (11.4%), canicola (8.6%), and pomona (2.8%) were included the subsequent serogroups. The highest frequency of fever (28%) and gastrointestinal manifestations (36%) were observed in icterohemorrhagia and the highest icterus (30%) was found in serjoe serogroup. In this study, serjoe serogroup with fever and icterus, and then icterohemorrhagia with fever and gastrointestinal symptoms were introduced as the most common serogroups of Leptospirosis. Also the rarest serogroups were canicola and pomona.
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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 | 0.021 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".