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Record W2995805488 · doi:10.22435/bpk.v46i4.17

Faktor Risiko Potensial Reaksi Kusta Pada Etnis Asli di Dua Kantong Kusta – Papua

2018· article· en· W2995805488 on OpenAlexaff
Antonius Antonius, Yuli Arisanti, Ratna Tanjung, Yunita Mirino

Bibliographic record

VenueBuletin Penelitian Kesehatan · 2018
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsLeprosyMedicineGeographyDermatology

Abstract

fetched live from OpenAlex

Abstract Papua and West Papua are two provinces in Indonesia with high rate of leprosy number. One of the problems in leprosy management is the emergence of leprosy reactions. The purpose of this study was to identified potential risk factors affecting to leprosy reaction among indigenous people in two leprosy pockets in Papua and West Papua. Cross-sectional studies were conducted in 10 months (February-November 2018) in Jayapura City and Bintuni District, by interview using questionnaire and physical examination. Successfully found 90 subjects of leprosy patients who are undergoing treatment and 18 subjects had experienced of leprosy reaction. Although no dominant potential risk factor was found, history of previous MDT consumption and history of BCG immunization become potential factors. Key words: reaction, leprosy, papua Abstrak Papua dan Papua Barat merupakan dua provinsi di Indonesia dengan angka kejadian kusta yang tinggi. Salah satu masalah dalam penanganan kusta adalah timbulnya reaksi kusta. Tujuan dari penelitian ini untuk mengidentifikasi faktor risiko potensial yang berpengaruh pada reaksi kusta pada etnis asli di dua kantong kusta di Papua dan Papua Barat. Penelitian potong lintang dilakukan selama 10 bulan (Februari-November 2018) di Kota Jayapura dan Bintuni, menggunakan wawancara dengan kuisioner dan pemeriksaan fisik. Berhasil ditemukan 90 subyek pasien kusta yang sedang menjalani pengobatan dan 18 di antaranya pernah mengalami reaksi kusta. Meskipun tidak ditemukan faktor risiko potensial yang dominan, namun riwayat minum MDT sebelumnya dan riwayat tidak diimunisasi BCG menjadi faktor-faktor yang potensial. Kata kunci: reaksi, kusta, papua

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.300
Teacher spread0.281 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2018
Admission routes1
Has abstractyes

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