Getting knowledge to provide care: prevalence and factors associated with Sexually Transmitted Infections in immigrants from Goiás
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To estimate the prevalence of Sexually Transmitted Infections (STIs) in immigrants and refugees living in the metropolitan region of Goiânia, Goiás. METHOD: This is a cross-sectional and analytical study. Data collection was carried out from July 2019 to January 2020 and 308 immigrants and refugees were included in the sample. All were underwent face-to-face interviews and were tested for HIV, Syphilis, and Hepatitis B, using rapid tests. RESULTS: The general prevalence for any of the STIs investigated was 8.8% (95%CI 6.0% - 12.3%), being 5.8% (95%CI 3.6% - 8.9%) for Hepatitis B, 2.3% for Syphilis (95%CI 1.00% - 4.4%) and 0.7% for HIV (95%CI 0.1% - 2.1%). Multiple analysis, using logistic regression, showed that the variables male gender (OR = 2.7) and length of time living in Brazil (OR = 2.6) were significantly associated with STIs (p < 0.05). CONCLUSION: The results of this study suggest that STIs are a health problem in immigrants/refugees, which appear to be enhanced with the length of migration in the country. Public policies that guarantee health care for this population shall be considered.
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.
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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 it