Effective control of chlamydia from a public health standpoint
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Chlamydia has a significant impact on public health provision in the developed world. A large number of infections are asymptomatic, and untreated infection can lead to further complications such as PID and infertility. Using pair approximation equations we investigate the efficacy of control programmes for chlamydia on short timescales that are relevant to policymakers. Our results suggest that if the NCSP meets its long term goals a serious reduction in chlamydia prevalence is possible after ten years. By shifting focus from screening to contact tracing at lower prevalence it is possible to maintain cost-effectiveness and still control the disease, since we show that population prevalence has little impact on local prevalence around infected individuals. This implies that the chance of finding an infected individual through contact tracing remains largely unaffected by global population dynamics. Further to this, we show that it is possible to use a deterministic system to approximate large scale individual based models which have previously been used for decision making.
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.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it