COVID-19, pandemic lockdowns and intimate partner violence among HIV-positive women in Ghana
Bibliographic record
Abstract
This study examines the prevalence and risk factors of physical, sexual, psychological, and economic violence during lockdowns associated with COVID-19 among HIV-positive women in Ghana. Data were collected in August 2021 from a cross-section of 538 HIV-positive women aged 18 years and older in the Lower Manya Krobo District in the Eastern region of Ghana. Logit models were used to explore relationships between women's self-reported experiences of physical, sexual, psychological /emotional, and economic violence under lockdown and key socio-economic and demographic characteristics. The findings indicate moderate to high prevalence of intimate partner violence (IPV) under lockdown in our sample: physical violence (30.1%), sexual violence (28.6%), emotional/psychological violence (53.7%), and economic violence (54.2%). IPV was higher on all four measures for educated women, poorer women, employed women, cohabiting and married women, and HIV seroconcordant couples.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".