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Record W2061952555 · doi:10.2190/iq.26.4.f

Presence and Awareness of Infectious Disease among Chinese Migrant Workers

2007· article· en· W2061952555 on OpenAlexaff
Mark Strand, Wang Xiaobing, Kristin Lee, Alex Wang, Yanqing Li, Ni Jinxi, Guangming Cheng

Bibliographic record

VenueInternational Quarterly of Community Health Education · 2007
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsUniversity of Waterloo
FundersCenters for Disease Control and Prevention
KeywordsMedicineTuberculosisDiseaseTransmission (telecommunications)Environmental healthMigrant workersChinaHuman immunodeficiency virus (HIV)Depression (economics)Family medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

This cross-sectional study set out to identify the health status and health beliefs and behaviors with regard to TB and HIV-AIDS among 407 rural male migrant workers in China. Surveyed workers' awareness level for AIDS transmission was 67.7% and for TB transmission 56.8%. These workers had high rates of acute illness in the previous month (depression 18.3%, physical injury 16.3%, dermatological ailment 9.6%, respiratory infection 9.4%). One or more of the four symptoms of TB were found in 22.3% of the workers. Prevalent TB symptoms were associated with previously having had TB (chi-square = 69.98, p = .000) and having previously lived with a TB patient (F = 13.99, p = .000). The relative risk for having had TB if the worker had lived with someone with TB was 5.69 (chi-square 7.65, p = .006). Screening for TB symptoms, a history of having lived with someone with TB, or having previously had TB, has the potential to serve as a cost-effective and easy first-line TB screening among large mobile populations.

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)0.001
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 score0.052
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.028
GPT teacher head0.422
Teacher spread0.394 · 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

Citations11
Published2007
Admission routes1
Has abstractyes

Explore more

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