The Role of Chlamydia Infection as a Risk Factor of HIV-1 Establishment and Spread in Heterosexual Populations
Bibliographic record
Abstract
Background and Rationale: Evidence of a causal link between classic STDs and HIV continue to accumulate. In countries where STD prevalence is relatively low and heterosexual HIV incidence is slowly but constantly increasing, the impact of STDs on HIV-1 transmission and its corresponding prevention potential remains uncertain. Objectives: To evaluate the role of chlamydia (Ct) infection on HIV establishment and spread in the strict heterosexual population (SHP) (1) in absence and (2) in presence of parenteral and homosexual transmission. To evaluate the potential of reducing STD prevalence to prevent HIV in the SHP. Methods: The analysis is based on a stochastic model of HIV and Ct transmission in a heterosexual population including various risk factors such as gender, age, sexual orientation, level of sexual activity, ethnicity, and drug use. The model includes the principal demographic, biologic, and behavioral characteristics of the diseases and the studied population. An initial parameter set (IPS) was chosen to represent the heterosexual population of Montréal-Center. A univariate and bivariate analysis was performed around IPS by varying both Ct prevalence and the magnitude of the Ct and HIV association (RRHIV/STD). The results obtained were generalized for a wide array of circumstances by varying simultaneously most parameter values based on Latin Hypercube sampling. Multivariate analysis was performed using regression and classification trees. Results: In a setting like Montréal-Center the probability of HIV establishment is 40% at IPS. Establishment and spread are very sensitive to Ct prevalence. In multivariate analysis Ct is the most influential parameter on establishment and spread. Conclusions: Since the risk of HIV establishment in the SHP is not nil, it is important to direct prevention efforts towards this population. Reduction of STD prevalence may prevent HIV establishment and spread in the SHP even in presence of constant reintroduction of HIV from bisexuals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".