Long-Term Health Effects of Vietnam War's Herbicide Exposure on the Vietnamese Population
Bibliographic record
Abstract
Background: Long-term health effects of exposure to Agent Orange have been a subject of debate and controversy. Most studies on Agent Orange health effects were based on small samples. The objective of this population-based study is to determine whether Agent Orange exposure increases the risks of cancer and hypertension for the Vietnamese population. Methods: This study employs a quasi-experiment research design to estimate the causal long term effect of Agent Orange on incidences of cancer and hypertension for Vietnamese population. Specifically, difference-in-differences regressions are estimated which compute the difference between the Agent Orange-affected cohort versus the unaffected cohort in a treated area (where the Agent Orange was sprayed) and compare that difference with the similar difference computed for the control area (where the Agent Orange was not used). Results: People who were directly exposed to Agent Orange spraying have a higher risk of developing cancer. Agent Orange exposure appears to raise significantly the risk of hypertension for those who lived as well as those who were born during the spraying period. The most harmful effects of Agent Orange occur in areas that received the largest amounts of herbicide spray. Interpretation: The results provide statistical evidence for the harmful effects inflicted by herbicide exposure on the Vietnamese population. Our findings of elevated risk of cancer and hypertension complement the small-sample studies conducted for the Vietnam War veterans and raise warnings for the use of Agent Orange and other herbicides in populated areas.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 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".