[Epidemiology of influenza A/California/07/09 (H1N1) in foreign countries in 2009 - 2010 season].
Bibliographic record
Abstract
AIM: Study of spread ofa new influenza variant A(H1N1) in the world in 2009. MATERIALS AND METHODS: Analysis of WHO weekly situation reports on influenza epidemic in the countries of the Northern and Southern hemisphere. RESULTS: The first laboratory confirmed cases ofA/California/07/09 (H1N1) were registered in the countries of the Northern hemisphere in 10 days, and in other continents--in 1 month after the increase of morbidity. In the countries of Northern hemisphere 2 increases of A/California/07/09 (H1N1) morbidity were present--spring and autumn, and in the autumn period an increase of population morbidity, rate of hospitalization and number of lethal outcomes was noted. Only in Canada autumn increase of morbidity was not accompanied by an increase in severe influenza cases. In the Southern hemisphere a single but longer increase of morbidity was registered during the summer period. In the South-eastern Asia 2 increases were mostly present with a higher level during the first one. CONCLUSION: A significant increase in morbidity in the autumn periodand its decrease at the same time in the Southern hemisphere are determined by varying seasonality of influenza in the countries of Northern and Southern hemisphere. Spring increase of morbidity was of mixed etiology; and in the autumn period influenza A/ California/07/09 (H1N1) virus dominated in the etiology of diseases.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".