Environmental Factors With Respiratory Tract Infections in Toddlers in the Work Area of the Lima Puluh Health Center
Bibliographic record
Abstract
Acute respiratory infection (ARI) is an acute respiratory infection that attacks the throat, nose and lungs that lasts approximately 14 days, Ari regarding the structure of the channel above the larynx, data on Ari disease in toddlers in Pekanbaru city show that the highest prevalence in Puskesmas fifty with a prevalence rate of 6.69% per 100 toddlers in 2020. This research is quantitative analytic with Case Control design. The study was conducted in January-July in the second quarter of 2022 in the Working Area of Puskemas Lima Puluh Kota Pekanbaru, with a population of 4,946 toddlers and a sample of 135 which was divided into 45 cases and 90 controls. This study uses Simple Random Sampling technique. Data analysis methods include univariate and bivariate analysis, using chi-square test. The results showed that the variables associated are ventilation (OR=3.294 95% CI 1.553-6.989), exposure to cigarette smoke (or=3.436 95% CI 1.575-7.504), occupancy density (or=4.529 95% CI 2.113-9.710), environmental sanitation (or=2.896 95% CI 1.359-6.169). Suggestions from researchers are rekrontuksi ventilation / open the window periodically, the manufacture of smoking corner in the surrounding environment, isolation room for family members affected by the disease, rekrontuksi base of the building at risk of becoming the development of bacterial culture/paint water repellent against risky building materials such as wood.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".