LEVEL OF COMPREHENSIVE KNOWLEDGE ABOUT HIV AND SOCIO DEMOGRAPHIC FACTORS ASSOCIATED WITH IT AMONG MALE AND FEMALE AGE 15-49 YEARS IN ETHIOPIA
Bibliographic record
Abstract
Background: in Ethiopia Only one-quarter of young women and one-third of young men have a comprehensive knowledge of AIDS. According to recent data from the Ethiopian demographic and health survey (EDHS 2016), national level of Comprehensive knowledge about HIV among men and women age 15-49 years is 27.9 % (n = 7613). This study aims to assess (1) level of Comprehensive knowledge about HIV (2) socio demographic factors associated with it among adults age 15-49 years Methods: Demographic and Health Surveys in 2016, in Ethiopia were analyzed in SPSS, using multivariate logistic regression. Socio demographic variables were selected based on their availability in the dataset. We used Comprehensive knowledge about HIV as the outcome variable using the recommended definition by EDHS 2016 Ethiopia Descriptive statistics were employed to show the distribution of socio-demographic characteristics Results: Of the total sample of 27289 of men and women 15-49 years at the time of survey, 27.9 % (n = 7613) have comprehensive knowledge about HIV About 79.8 % of the variation in the outcome variable (comprehensive knowledge about HIV t) is explained by the independent variables included in model Men and women in the 15-19 age group AOR 15.287 (95% CI 9.430- 24.780) and Men and women age 15-49 years in urban areas (AOR 29.337 ; 95% CI: 18.093-47.569) were found to be major contributing factors with level of comprehensive knowledge about HIV Conclusions Factors associated with comprehensive knowledge on HIV include: age and residence Programs designed should target older age groups and Education about HIV/AIDS in rural areas, in particular needs to be improved Messages using radios will increase comprehensive knowledge.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".