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Record W53251994

Long-Term Health Effects of Vietnam War's Herbicide Exposure on the Vietnamese Population

2015· preprint· en· W53251994 on OpenAlexaff
Nikolay Gospodinov, Hai V. Nguyen

Bibliographic record

VenueRePEc: Research Papers in Economics · 2015
Typepreprint
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAgent OrangeVietnameseOrange (colour)PopulationMedicineCohortEnvironmental healthDemographyToxicologyInternal medicineGeographyBiologyHorticulture
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.089
GPT teacher head0.443
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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