Cholera: Analysis of Epidemiological Situation across the World and in Russia within a Period of 2006–2015
Bibliographic record
Abstract
In the course of assessment of epidemiological situation around the world in 2015, established has been the tendency to incidence rate reduction, with the annual average tempo - 10.225 % (in reference to 2006). For the first time ever, defined has been equivalent epidemiological year in case of cholera within an interval between 2014-2015.The key epidemiological risks of infection transmission globally are still inter-state (Africa, Asia) and extra-continental imports of cholera from the Caribbean (Cuba) and Asia into America (Canada) and Europe (Great Britain, Italy, Belgium, and Germany), which took place in 2015 too. Identified have been 21 endemic administrative territories in eight countries of Africa, America, the Caribbean, and Asia. Epidemiological complications are mainly caused by V. cholerae O1, biovar El Tor, producing cholera toxin of classical type, as well as by V. cholerae O1, classical biovar, and V. cholerae O139 serogroup. Epidemic manifestations of cholera in the Russian Federation are characterized by import of the infection by citizens returning from abroad; the isolation from surface water bodies of V. cholerae O1, biovar El Tor ctxA - tcpA - , ctxA - tcpA + and V. cholerae O139 ctxA - and tcpA - , as well as of single V. cholerae O1, biovar El Tor ctxA + tcpA + . Forecast on cholera world-wide and in Russia for 2016 remains unfavorable.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".