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Record W2900224909 · doi:10.1177/0956462418804658

High burden of previously undiagnosed HIV infections and gaps in HIV care cascade for conflict-affected female sex workers in northern Uganda

2018· article· en· W2900224909 on OpenAlexafffund
Shira M. Goldenberg, Godfrey Muzaaya, Monica Akello, Melissa Braschel, Josephine Birungi, Kate Shannon

Bibliographic record

VenueInternational Journal of STD & AIDS · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of British ColumbiaAIDS VancouverSimon Fraser University
FundersCanadian Institutes of Health ResearchNational Institute on Drug AbuseCanada Research ChairsNational Institutes of HealthMichael Smith Health Research BC
KeywordsMedicineCondomOddsOutreachDemographyCohortEnvironmental healthHuman immunodeficiency virus (HIV)Reproductive healthPopulationFamily medicineSyphilisInternal medicineLogistic regression

Abstract

fetched live from OpenAlex

Given the disproportionate HIV burden faced by female sex workers FSWs and limited data regarding their engagement in the HIV cascade of care in conflict-affected settings, we characterized the cascade of care and examined associations with new HIV diagnoses and antiretroviral therapy (ART) use in a community-based cohort of FSWs in conflict-affected Northern Uganda. Data were collected via FSW/peer-led time-location sampling and outreach, interview-administered questionnaires, and voluntary HIV testing. Of 400 FSWs, 33.5% were living with HIV, of whom 33.6% were new/previously undiagnosed infections and 32.8% were on ART. Unstable housing and heavy alcohol/drug use were independently associated with increased odds of new HIV diagnoses, whereas exposure to condom demonstrations and number of lifetime pregnancies were negatively associated. In subanalysis among known HIV-positive women, age and time since diagnosis were associated with ART use, whereas sexually transmitted infections were negatively associated. Findings suggest the need for FSW-tailored, peer-based, and integrated HIV and sexual and reproductive health programs to address gaps in HIV testing and treatment for FSWs in conflict-affected communities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.315
Teacher spread0.303 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2018
Admission routes2
Has abstractyes

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