Assessment of knowledge, attitude and perceptions of HIV/AIDS among secondary school students in Guntur district of south India: a cross-sectional survey
Bibliographic record
Abstract
Background: In recent years, there established a diverse information and accelerated surge towards HIV/AIDS. However, awareness of HIV/AIDS among children are ill-defined. As we all are familiar with the known fact that, our greatest natural resource is the minds of the young children who has the potentiality for forming a better nation. It is our greatest responsibility to ignite their young minds in order to eradicate the pandemic diseases such as HIV/AIDS. The objective of the study was to assess the knowledge, attitude and perceptions regarding HIV-AIDS among secondary school students. Methods: A cross-sectional survey was conducted using the simple random sampling technique. A total of 96 students aged between 13-17 years were sampled from a secondary school in Guntur district and interviewed through a validated self-administered questionnaire in order to assess the knowledge, attitude and perceptions (KAP) regarding HIV/AIDS. The study cohort includes students from VIII, IX, and X standards. Verbal consent from students was obtained before initiating the study. Responses were scored, analyzed and mean score and percentage were used to determine the level of KAP. Results: The study results demonstrated that students of class X had a predominant overall knowledge than of class IX and VIII. While males had a good knowledge about HIV/AIDS. Whereas, females had a lot of misconceptions when compared on overall basis. Conclusions: This particular survey results strengthen the truth that still there exists a lack of awareness and knowledge among children regarding HIV/AIDS in developing countries like India.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".