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Record W2038231883 · doi:10.1097/olq.0b013e31819b8c2f

Changes in Community Socioeconomic Status and Racial Distribution Associated With Gonorrhea Rates: An Analysis at the Community Level

2009· article· en· W2038231883 on OpenAlexaff
Ping Du, Louise‐Anne McNutt, Patricia O’Campo, F. Bruce Coles

Bibliographic record

VenueSexually Transmitted Diseases · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsSt. Michael's Hospital
FundersU.S. Public Health Service
KeywordsGonorrheaDemographySocioeconomic statusMedicineConfidence intervalPopulationCensusGerontologyEnvironmental healthInternal medicineImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Gonorrhea persists despite nationwide disease control measures. Research has not focused on the longitudinal impact of community characteristics on gonorrhea. The authors assessed the association between community demographic and socioeconomic changes and gonorrhea rates. METHODS: Gonorrhea incident cases reported in 1992-1993 and 2001-2002 were aggregated at the census tract level in New York State exclusive of New York City and then matched to the census data. Census tract characteristics were obtained from the 1990 and 2000 decennial censuses and adjusted for changes in geographic boundaries. RESULTS: Gonorrhea incidence declined considerably between 2 study periods (1992-1993 and 2001-2002) among urban census tracts, but gradually increased in suburbs and rural areas. Changes in community socioeconomic status (SES) were significantly associated with change in gonorrhea rates (e.g., gonorrhea rate ratio given a 5% increase in household poverty rate = 1.08; 95% confidence interval: 1.02-1.14), independent of changes in community demographics. Increases in gonorrhea rates related to the proportion of non-Hispanic black population within urban census tracts persisted after multiple SES variables were controlled (rate ratio = 1.20; 95% confidence interval: 1.16-1.24). DISCUSSION: This study found that temporal changes in community SES and demographic characteristics were associated with changes in gonorrhea rates.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.308
Teacher spread0.277 · 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

Citations34
Published2009
Admission routes1
Has abstractyes

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