Knowledge and attitude of HIV/AIDS among women in Nigeria: a cross-sectional study
Bibliographic record
Abstract
Background: The Human Immunodeficiency Virus (HIV)/Acquired Immunodeficiency Syndrome (AIDS) epidemic is one of the world's most serious public health and social problems. Promoting knowledge and attitude towards HIV/AIDS is a key strategy to control the prevalence of this growing epidemic. This study aimed to measure knowledge and attitude about HIV/AIDS along with the factors of association Nigerian women. Methods: This is a cross-sectional study based on data from the 2013 Demographic Health Survey (DHS) conducted among community dwelling women in Nigeria. A set of 13 questions was identified relevant to knowledge and attitude about HIV/AIDS. Each correct answer was scored as 1 and wrong answer as '0'. Normality of the variables was examined using Shapiro-Wilks tests. The socioeconomic and community factors associated with HIV/AIDS knowledge and attitude were examined by linear regression with dummy variables model. Results: Means score (SD) on knowledge of transmission was 6.4 (2.0) and that for attitude was 2.1 (1.2). In the regression models, knowledge and attitude of HIV/AIDS were positively associated with survey years and respondents' age; geographical region was significantly associated with HIV/AIDS knowledge and attitude; rural respondents had significant reduction in knowledge [Exp(B)=0.86; 95% confidence interval (CI)=0.83-0.89] and positive attitude to HIV/AIDS [Exp(B)=0.91; 95% CI=0.89-0.93] compared with the urban counterpart, respectively. Conclusion: Findings of the present study suggested that women's knowledge and attitude about HIV/AIDS in Nigeria needs more attention to attain the global target to end its epidemics and other communicable diseases by 2030.
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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 | 0.042 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".