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Antiretroviral use in Ouagadougou, Burkina Faso

2003· article· en· W1984989269 on OpenAlexaff
Vinh‐Kim Nguyen, Troy Grennan, Karine Peschard, Darell Tan, Issoufou Tiendrébéogo

Bibliographic record

VenueAIDS · 2003
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of TorontoMcGill University
Fundersnot available
KeywordsAntiretroviral treatmentDeveloping countryHuman immunodeficiency virus (HIV)SeroprevalenceANTIRETROVIRAL AGENTSPopulationAntiretroviral therapyGeographyEnvironmental healthEconomic growthSocioeconomicsMedicineVirologyImmunologyViral loadSociologyEconomics

Abstract

fetched live from OpenAlex

Burkina Faso has the second highest seroprevalence rate for HIV in West Africa, estimated at 6.5% of the population. Although it is one of the poorest countries in the world, antiretrovirals have been used on an extremely limited basis in Burkina Faso since at least the early 1990s. In this article we will review the evolution of antiretroviral availability in this country, describe the mechanisms by which drugs are being accessed, and review our experience with expanding antiretroviral access through drug donations in community-based settings. Finally, we will discuss some of the implications for future attempts to expand access to treatment for people living with HIV in Africa.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.033
GPT teacher head0.332
Teacher spread0.299 · 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

Citations17
Published2003
Admission routes1
Has abstractyes

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