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Record W2055638529 · doi:10.13181/mji.v10i3.28

The prevalence of Strongyloides stercoralis infection in rural population of Bali: A preliminary study

2001· article· en· W2055638529 on OpenAlexfundno aff
Dewa Putu Widjana, Putu Sutisna

Bibliographic record

VenueMedical Journal of Indonesia · 2001
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsStrongyloides stercoralisStrongyloidesStrongyloidiasisMedicineFecesVeterinary medicineSignificant differencePopulationDemographyHelminthsBiologyEnvironmental healthInternal medicineImmunologyEcology

Abstract

fetched live from OpenAlex

A cross-sectional study was carried out from March until September 1992 in 4 different geo-climatic rural villages in Bali to assess the prevalence of Strongyloides stercoralis infection related to age, gender and geo-climatic condition. The number of selected samples using multistage stratified random sampling based on age and gender was 2880. Strongyloides larvae in stool samples were identified by modified Harada Mori fecal culture technique. The results showed that the overall prevalence of Strongyloides infection was 1.6%; the prevalence in male was 1.2% and in female was 2.1%, however the gender difference was not statistically significant. In term of age, there was no statistically significant difference. The highest prevalence (2.4%) was found among 7-12 years children, followed by aged 7 years or less (1.6%), 18 years or over (1.6%), and 13-18 years (0.6%). The prevalence of Strongyloides infection related to geo-climatic conditions was significantly difference. The highest prevalence of Strongyloides infection was at wet highland (3.3%), followed by wet lowland (1.5%), dry highland (1.0%), and dry lowland (0.9%). In conclusion, the prevalence of Strongyloides stercoralis infection in Bali was very low. Prevalence of Strongyloides infection was highly related to geo-climatic type of area, but not to gender and age groups. (Med J Indones 2001; 10: 174-7)

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)0.000
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 score0.010
Threshold uncertainty score0.194

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.310
Teacher spread0.297 · 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

Citations2
Published2001
Admission routes1
Has abstractyes

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