The epidemiology of invasive Haemophilus influenzae in Northwestern Ontario from 2021 to 2022
Bibliographic record
Abstract
Invasive Haemophilus influenzae disease, particularly caused by serotype a (Hia) and non-typable (NTHi) strains, is prevalent in northwestern Ontario, Canada and can cause serious illness. This study reviewed epidemiological data for seven cases of invasive H. influenzae disease that presented over a 20-month period at the regional hospital serving northwestern Ontario. One pediatric and six adult cases with the following blood isolates were reported: 2 Hia, 2 NTHi, 2 serotypes f (Hif) and 1 serotype e (Hie). These findings demonstrate the consistent presence of Hia and NTHi as causes of serious disease in the region, preferentially affecting adults. Most patients in this cohort presented with pneumonia (71.4%) or bacteremia (57.1%). Two unique adult cases, bacteremia caused by Hie and epiglottitis secondary to Hif, were reported. This study highlights the need for ongoing surveillance of invasive H. influenzae disease in the region. The continuing presence of Hia supports introducing a new Hia vaccine, which is undergoing clinical trials in Canada, for immunization of groups at risk of invasive Hia disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".