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Conocimientos, Actitudes y Prácticas sobre Dengue en Dos Barrios de Bucaramanga, Colombia

2009· article· es· W2124007115 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista de Salud Pública · 2009
Typearticle
Languagees
FieldEnvironmental Science
TopicPublic Health and Environmental Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeographyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: Identifying knowledge, attitudes and practice regarding dengue control for guiding prevention and control measures. METHODS: A community survey was carried out using house inspection visits during May 2007 in two neighbourhoods in Bucaramanga having a high incidence of dengue. Mosquito breeding places were identified and education concerning dengue prevention and control measures was provided. EPI-INFO was used for analysing the information so collected. RESULTS: 643 of the 780 households (82.4%) responded to the survey. Most people responding (518) were female (80.6%), average age being 39.6 (16.8 standard deviation (SD)), average schooling lasted 6.2 years (3.5 SD) and average household size was 5 people per house. Regarding dengue, 433 people (67.3%) described it as being a very serious disease; 545 (84.8%) stated that it was transmitted by a mosquito vector and 242 (37.6%) said that it was produced by a virus 59 (9.2%). The symptoms recognised were: fever by 570 people (88.6%), vomiting by 352 (54.7%), diarrhoea by 275 (43.0%), headache by 243 (37.8%), bone pain by 196 (30.5%) and muscle pain by 109 (17.0%). For prevention, 288 (44.7%) avoided stagnant water, 174 (27.2%) washed out their water tanks, 91 (14.2%) fumigated and 101 (15.8%) cleaned their houses. When anybody had dengue, 410 of them (63.8%) would go to a doctor, 129 (20.1%) would go to a hospital and 78 (12.0%) would treat themselves. Larval rate was 26.6% and there had been cases of dengue in 8.4% of the households during the last month. DISCUSSION: Knowledge about dengue was sketchy. Attitudes were favourable regarding dengue control but preventative practice was inadequate. The community must be educated and empowered to ensure their active participation in prevention and control programmes.

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.

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.010
GPT teacher head0.292
Teacher spread0.282 · 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