Bibliographic record
Abstract
PURPOSE OF REVIEW: Against the WHO's report of 84% diphtheria-pertussis-tetanus (DPT) primary vaccination coverage globally, the resurgence of pertussis (whooping cough), contributing factors and measures to control it are described. RECENT FINDINGS: USA and China, with 94-97% primary DPT immunization uptake, reported a 6-fold and 65-fold increase in pertussis between two time periods in 2023 and 2024. The global post-COVID-19 pertussis epidemic is trending towards a shift from infants towards older persons. Macrolide resistance is prevalent in 98% of Bordetella pertussis strains in China and is now reported from other countries. Pertactin-deficient mutant acellular pertussis vaccine-evasive strains are now transmitted in older children and adults. Pertactin-producing B. pertussis is causing fulminant pertussis in newborns whose mothers were not immunized in pregnancy and in under-immunized infants. Circulating epidemic strains of B. pertussis were discordant to those contained in whole-cell (Bp137) pertussis vaccine. The pertussis resurgence maybe explained by increased case ascertainment and reporting, mutant B. pertussis strains with immune escape from acellular and whole cell vaccines, and/or macrolides, waning natural, or vaccine-induced immunity and COVID-19 pandemic factors. SUMMARY: Pertussis maybe curtailed with public education, active clinical and microbiological surveillance, appropriate antimicrobial treatment and prophylaxis, public health reporting, infection control and optimized immunizations to reduce attributable morbidity and mortality.
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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 | 0.000 | 0.000 |
| 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".