Prevention and Control Strategies for Non-Communicable Disease: Goldberger, Pellagra and Rose Revisited
Bibliographic record
Abstract
This paper argues that the public health conceptual framework of epidemiologist Geoffrey Rose, first published as "Sick Individuals and Sick Populations" in 1985, provides a useful way to critically analyze prevention and control options for modern non-communicable diseases (NCD) and their forerunner, obesity, a pandemic now engulfing Lower-and-Middle-Income-Countries. That framework is based on the notions of primordial, primary, secondary and tertiary prevention-the full spectrum of "more upstream and more downstream" approaches, each with its pros and cons. These are illustrated using the pellagra epidemic in the southeastern USA from 1900 to the 1940s, which still has much to teach us about these same basic policy options for controlling the modern NCD pandemic. In particular, Rose's dictum, "Seek the causes of (population) incidence, not of (individual) cases", points up the compelling advantages of upstream prevention for controlling both epidemics.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| 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".