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The fight against COVID-19 in sub-Saharan Africa-a threat to the continuous management of HIV patients: application of the action areas of the Ottawa charter for health promotion

2020· article· en· W3042001942 on OpenAlexaboutno aff
Elvis Enowbeyang Tarkang

Bibliographic record

VenuePan African Medical Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePandemicCharterCoronavirus disease 2019 (COVID-19)Economic growthPromotion (chess)OutbreakChinaEnvironmental healthVirologyPolitical scienceDisease

Abstract

fetched live from OpenAlex

The Novel Coronavirus (2019-nCoV) was detected in December 2019 in the Hubei Province of China. Also known as COVID-19, the outbreak was declared a pandemic by the World Health Organization (WHO) in March 2020. Sub-Saharan Africa (SSA), which is the region hardest hit by HIV, is also highly affected by COVID-19. The fight against COVID-19 in SSA might threaten the continuous management of persons living with HIV (PLHIV). This commentary uses the five action areas of the Ottawa charter for health promotion to address the issue. If the issues raised in this commentary are not addressed quickly by SSA governments, every single link of the supply chain in the HIV response will be disrupted. This disruption might result in more stock-outs, shortages and a lack of access to ART in the months ahead. The SSA governments must ensure that HIV treatment adherence is not compromised owing to a shift of focus to the fight against COVID-19. They should ensure that everyone on HIV treatment gets an adequate supply of antiretroviral therapy (ART).

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.342
Teacher spread0.307 · 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 designNot applicable
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

Citations6
Published2020
Admission routes1
Has abstractyes

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