Clinical analysis of 150 cases with the novel influenza A (H1N1) virus infection in Shanghai, China.
Bibliographic record
Abstract
The aim of the present research was to analyze the epidemiological and clinical characteristics of the novel influenza A (H1N1) in China. We retrospectively analyzed the epidemiological information and clinical characteristics of 150 patients with the novel influenza A (H1N1) virus infection by descriptive epidemiology. There were 82 males and 68 females in this group. The median age of the 150 patients was 34.4 years (range, 4 to 77 years). There were 145 imported cases among the patients and most of these cases came from Australia, America and Canada. The main symptoms included fever, cough and sore throat. Other symptoms included: expectoration, runny nose, throat itching, sniffles, dry pharynx, headache, muscular ache, etc. CD4(+) T cell counts of 48% of the patients were lower than normal. Computed tomography (CT) of the chest in 32 cases was abnormal, including: increased bronchovascular shadows, pneumonia, pleural thickening and pleurisy, etc. Oseltamivir was the first choice for treatment of A (H1N1) influenza and it was safe and well tolerated. The symptoms were minor and the prognosis was good. All patients recovered fully after treatment. Considering the fact that the flu is highly infectious and can be carried through human to human contact rapidly, local Centers for Disease Control and prevention (CDC) should strengthen monitoring and take some measures in view of an influenza A (H1N1) onslaught.
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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".