Mapping the Core: Chlamydia and Gonorrhea Infections in Calgary, Alberta
Bibliographic record
Abstract
In Brief Objectives: To examine the spatial patterning of the individuals with gonorrhea or chlamydia infection in the Calgary Health Region (CHR) to target prevention and control activities. Methods: A Geographic Information System was used to map the prevalence rates of gonorrhea and chlamydia infection in the CHR to 2001 Census Tracts in the CHR. Data from the 2001 Canadian Census were used to describe the socioeconomic status (SES) of these areas. Results: Low SES indicators correlated with each other (low median household income, lower education, single mothers) as did high SES indicators (married, owning a dwelling, high median income, university education). A correlation was detected between areas of low SES and areas of high prevalence rates for gonorrhea and for chlamydia. These areas clustered primarily downtown and in the northeast part of the city. Conclusions: Nodes and corridors of activity in Calgary were detected in correlation studies of the 2001 Census variables used. The core (high prevalence) areas should be the areas targeted for sexually transmitted infection prevention and control. This can be done at the community level through measures such as more sexually transmitted infection clinics operating with longer hours in areas identified from this mapping. A Geographic Information System was used to link the geographic locations of prevalence rates of gonorrhea and chlamydia infection in the Calgary Health Region and socioeconomic data from the 2001 Canadian Census. A correlation was detected between areas of low socioeconomic status and areas of high prevalence rates for gonorrhea and for chlamydia. These areas clustered primarily downtown and in the northeast part of the city.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".