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Record W2762828313

DIAGNOSIS BEFORE ACTION: A KAP SURVEY AS BASE LINE FOR A SCmSTOSOMIASIS CONTROL PILOT PROJECT IN KEMISE, WOLLO ADMINISTRATIVE REGION

2017· article· en· W2762828313 on OpenAlexaboutno aff
Elias Gebre Egziabher

Bibliographic record

VenueEthiopian Journal of Health Development · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsBathingSchistosomiasisEnvironmental healthMedicineQuarter (Canadian coin)SocioeconomicsFamily medicineGeographySociologyPathology
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT Findings from a KAP survey as base line for a schistosomiasis control pilot project is reported. illustrating elements of major concern in socio-economic and behavioural areas. The findings show that 50% of the respondents have been informed about schistosomiasIs but only 49% of those informed recognized it as a disease of any severity. Only 5% acknowledged the presence of a person suffering from schistosomiasis in their household and only half of them took the patient for modern medical care. Launderng was found to be one of the most common ways of contact with rivers (60%). followed by bathing (27%). More than a quarter of the respondents have also admitted to the use of the rivers (85%) as well as the protected well. as may be convenient. Most of the respondents use the morning hours for water contact. As far as excretion practices are concerned. 63% of the adults and 50% of the youngsters use latnnes. while the rest use the backyard or other open-fields. The large majority (73%) were willing to partic,pate in the control of schistosomasis. Finally. the need to consider senously excreta disposal practices. water contact pattern. utilization of available health services. knowledge and attitude with regard to schistosomias is discussed.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.260
GPT teacher head0.457
Teacher spread0.197 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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