HIV Prevalence in Vulnerable Children Living in Jos, Plateau State, North-Central Nigeria
Bibliographic record
Abstract
Background: The lack of Parental supervision, including psycho social problems and decrease access to basic needs such as food, shelter, clothing, education and health care are examples of the enormous challenges faced by Vulnerable children (VC). These challenges pushes VC to adopt survival and coping strategies, of which some are exposure variables of sexually transmitted infection including HIV infection. In addition, some of these children were orphaned and made vulnerable by HIV. As such, VC should benefit from a health provider initiated counseling and testing for HIV as recommended by the Nigerian HIV policy. However, focus on screening VC for HIV infection has been abysmal; it is on this premise that this study set out to determine the HIV prevalence of vulnerable children in Jos, Nigeria. Methods: Vulnerable children were sampled from 3 different institutions and from households in 3 different communities in Jos, Plateau State with the assistance of Non-Governmental organizations involved in the care of VC. All VC enrolled were interviewed, clinically examined and screened for HIV based on national protocol and standard. Data generated were analyzed using CDC epi info version 7. A p value less than 0.05 was considered statistically significant. Results: Out of the 237 children enrolled 145 (61.2%) were male VC while 92(38.8%) were female vulnerable children, giving a male female ratio of 1.0: 0.6. HIV sero - positivity was identified in 9 of the 237 VC giving a prevalence of 3.8%, amongst the study subjects. Out of the 9 HIV positive VC, 7 VC (77.8%) were resident in institutions; only two household VC were HIV positive. There was no statistically significant association between place of residence, age of VC, gender and type of vulnerability and HIV status among the studied population. Conclusion: The HIV prevalence of 3.8% in vulnerable children is enormous and appears to be higher amongst children resident in orphanages than those in household
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".