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Record W7124703780 · doi:10.65760/sjgs.v1.i1.9

SPATIAL ANALYSIS OF ADOLESCENT PREGNANCY AND HIV INCIDENCE IN OHAOZARA, EBONYI STATE, NIGERIA

2025· article· W7124703780 on OpenAlexaboutno aff
Felix Ike, Agatha Arochukwu

Bibliographic record

VenueSokoto Journal of Geographical Studies · 2025
Typearticle
Language
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
Fundersnot available
KeywordsTeenage pregnancyPregnancyIncidence (geometry)Psychological interventionHuman immunodeficiency virus (HIV)Quarter (Canadian coin)PopulationReproductive health

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.005
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.068
GPT teacher head0.423
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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