MétaCan
Menu
Back to cohort
Record W2109362914 · doi:10.14989/141785

BURDEN OF BURULI ULCER: HOW AFFECTED HOUSEHOLDS IN A GHANAIAN DISTRICT COPE

2011· article· en· W2109362914 on OpenAlexfundno aff
Clement Adamba, Adobea Yaa Owusu

Bibliographic record

VenueKyoto University Research Information Repository (Kyoto University) · 2011
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsnot available
FundersUniversity of GhanaInternational Development Research Centre
KeywordsBuruli ulcerSocioeconomicsMedicineStigma (botany)Environmental healthUnit (ring theory)Coping (psychology)Burden of diseaseGeographyBusinessDiseasePsychologyPsychiatryPopulationEconomics

Abstract

fetched live from OpenAlex

Buruli Ulcer (BU) is economically burdensome and socially stigmatising. We examined the burden of BU and the strategies commonly adopted by households in a Ghanaian district to cope with it. Respondents for the study were conveniently sampled using data from a BU unit within the District Health Centre. Adult BU patients and caretakers of minor patients (aged less than 15) who had reported for care within the past year were interviewed. A semistructured questionnaire was used for the interviews. The staff in-charge of an international NGO with services to BU patients in the district was also interviewed. The disease was associated with poor rural households with mean annual incomes of the equivalent of USD 490.70 or less. Other costs and stigma associated with the disease posed a great burden on the already poor households we studied. Households adopt coping strategies, including sale of assets, reduction in farm sizes, and avoiding people, all of which are potentially risky for future sustainability.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.249
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), 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

Citations35
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueKyoto University Research Information Repository (Kyoto University)Same topicMycobacterium research and diagnosisFrench-language works237,207