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Record W2209321842 · doi:10.7205/milmed.171.10.955

Canadian Forces Evaluation of the EPINATO Health Surveillance System in Bosnia-Herzegovina

2006· article· en· W2209321842 on OpenAlexaffabout
Jean Wilson, Maureen T. Carew, Barbara Strauss

Bibliographic record

VenueMilitary Medicine · 2006
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsCanadian Armed ForcesPublic Health Agency of Canada
Fundersnot available
KeywordsMedicineMedical emergencyMilitary personnelMilitary medicineHealth surveillanceDisease surveillanceEnvironmental healthPublic healthNursingGeography

Abstract

fetched live from OpenAlex

The Canadian Forces (CF) adopted the EPINATO surveillance system in 1996 to monitor disease and injury morbidity in deployed settings. The Directorate of Force Health Protection, CF Health Services Group initiated an evaluation of EPINATO in Task Force Bosnia-Herzegovina in August 2003. Two methods were used to assess coding reliability: a chart audit and Sick Parade Register review. Stakeholder interviews were conducted evaluating data flow, reporting structure, and key system attributes. Reliability (K, 95% confidence interval) was good in 4 of 24 categories--sexually transmitted diseases, K = 0.75 (0.50, 1.00); eye disorders, K = 0.51 (0.15, 0.88); ears/nose/ throat, K = 0.51 (0.33, 0.69); lower respiratory infections, K = 0.49 (95% confidence interval 0.34, 0.65)-but otherwise was poor. EPINATO is not an effective, reliable tool for CF deployment health surveillance. An improved health surveillance system is required to ensure disease and injury aberrations are detected and optimal preventive programs and policies are in place for deployed CF military members.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.393
Teacher spread0.346 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2006
Admission routes2
Has abstractyes

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