SPATIAL ANALYSIS OF ADOLESCENT PREGNANCY AND HIV INCIDENCE IN OHAOZARA, EBONYI STATE, NIGERIA
Bibliographic record
Abstract
Despite the extensive interventions and research focused on adolescent pregnancy, there is a notable deficiency in the analysis of the spatial distribution of HIV among adolescent pregnant women in Nigeria. This study seeks to conduct a spatial analysis of adolescent pregnancy and HIV incidence in Ohaozara, Ebonyi State. The data encompassed age records, spatial attributes and HIV status of teenage pregnant women who visited antenatal clinics (ANCs) at primary health care facilities from 2018 to 2022. A total of 3,827 records of teenage mothers were analyzed. Similarly, a total of 692 teenage mothers who attended antenatal care were also sampled on the social-economic consequences of teenage pregnancy. Data were analyzed using prevalence rates, spatial autocorrelation, and hot spot analysis. The annual growth rate of teenage pregnancy was 1%, exhibiting a clustered pattern and prevalence rate of 0% to 39.73%. The hotspot areas of adolescent pregnancy were also identified. There was an estimated decrease of 44.1% in the incidence of HIV among teenage mothers for every quarter of the year. The study recommended that it is essential to educate and motivate parents and teenagers through seminars on the risks associated with adolescent sex.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".