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Record W2793815157 · doi:10.7205/milmed-d-11-00205

Good Interventions That Few Use: Uptake of Insect Bite Precautions in a Group of Canadian Forces Personnel Deployed to Kabul, Afghanistan

2012· article· en· W2793815157 on OpenAlexaffabout
Steve Schofield, Fiann Crane, Martin Tepper

Bibliographic record

VenueMilitary Medicine · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsDepartment of National Defence
Fundersnot available
KeywordsPsychological interventionMedicineEnvironmental healthPopulationIntervention (counseling)OddsDemographyLogistic regressionPsychiatry

Abstract

fetched live from OpenAlex

We evaluated use of interventions to prevent insect bites in Canadian personnel deployed to Kabul, Afghanistan. Data were collected through a self-report written survey. The response rate was 92%, and intervention uptake was 11% applied repellent that day, 21% slept under a bednet their last sleep, and 78% wore insecticide-treated clothing. Two associations were usually evident in multivariate analyses: persons perceiving risk of exposure as high were more likely to use bednets and repellent, and individuals reminded to use an intervention had higher odds of doing so. However, even if perception of exposure risk was high and reminders were received, the use of bednets (60%) and repellent (40%) was relatively low. Hence, on the one hand, increased uptake of interventions through targeted messaging might be possible. On the other hand, effectiveness of these interventions might be substantially constrained because of nonuse, even in a motivated and informed population.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.144
GPT teacher head0.299
Teacher spread0.156 · 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

Citations10
Published2012
Admission routes2
Has abstractyes

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