The challenging concept of eradication: A core concept guiding and frustrating public health
Bibliographic record
Abstract
The celebrated 1980 announcement that smallpox had been eradicated was made using the following definition of eradication: "Permanent reduction to zero of the worldwide incidence of infection caused by a specific agent as a result of deliberate efforts: intervention measures are no longer needed." Public health around the world works with this definition of "eradication," setting it as a goal for other infectious disease control programs. The definition is simple. Its application, however, has produced long-running and complex public health campaigns that threaten the commitment of funders, health care providers, and governments. In this paper, the authors demonstrate the disease-specific challenges of eradication through the example of the Global Polio Eradication Initiative (GPEI). While many deem eradication worth its high costs because it is the end of morbidity and mortality from a disease, it does not mean the end of disease control efforts. Public health must be prepared for the possibility of disease reoccurrence in the form of undetected natural reservoirs of disease, lab leaks from stored samples, bioterror attacks using stolen samples, and the synthetic recreation of microbes. This paper clarifies the role of reoccurrence prevention in eradication, calling for its addition in the definition of eradication.
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 | 0.068 | 0.051 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.159 |
| Scholarly communication | 0.019 | 0.026 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.020 | 0.051 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".