Meningococcal Surveillance Australia - Reporting period 1 January to 31 March 2023
Bibliographic record
Abstract
The reference laboratories of the National Neisseria Network, Australia report data on invasive meningococcal disease (IMD) cases confirmed by culture and/or molecular techniques for the Australian Meningococcal Surveillance Programme (AMSP). Culture-positive cases and molecular-based diagnoses are defined as IMD by the Communicable Diseases Network Australia National Guidelines for Public Health Units.1 Data contained in the quarterly reports are restricted to a description of the number of cases by jurisdiction and serogroup, when known. Some minor corrections to data in Table 1 may be made in subsequent reports if additional data are received. IMD notifications in Australia in the first quarter of 2023 were greater than in the corresponding period in 2022 but still below the 36 IMD cases reported in quarter one of 2019 (prior to the SARS-CoV-2 pandemic).2 Notably, the predominance of N. meningitidis serogroup B (MenB) IMD continued in the first quarter of 2023 (21/23, 91.3% of notifications), showing an increase from 84% in the fourth quarter of 2022.3 In contrast, between 2019 and 2021, 50–62% of IMD was attributable to MenB.4 A full analysis of laboratory-confirmed cases of IMD in each calendar year is contained in the AMSP annual report published in Communicable Diseases Intelligence.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".