Hubungan Faktor Lingkungan Fisik dan Sosial Ekonomi Keluarga Terhadap Kejadian Pneumonia Pada Balita di Wilayah Kerja Puskesmas Tahtul Yaman Kota Jambi
Why this work is in the frame
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Bibliographic record
Abstract
Pneumonia in children including one cause of death in the world that is around 20 percent, or about 1.5 million children under five die each year from the disease. Each year there are an estimated 11-20 million children in the world were hospitalized because of pneumonia. In Indonesia, pneumonia is the leading cause of death of 13.2 percent of children under five and 12.7 percent the cause of death of children. The purpose of this study to determine the relationship between the physical environment and socio-economic families with the incidence of pneumonia in children under five in Public Health Center Tahtul Yaman Jambi City period 2015. This study is a case-control study. Retrieved 35 mothers who have children suffering from pneumonia as a case (case) and 35 mothers who have children do not suffer from pneumonia as control (control) so that the total sample of 70 respondents. The research took place in November 2016. Data was analyzed by univariate and bivariate statistical test Chi Square. Results of univariate analysis showed that patients with pneumonia mostly toddlers aged 12-23 as much as 57.1%, and pneumonia mostly male sex as much as 74.3%. The physical environment pneumonia generally unfavorable 68.6%, and a good physical environment 31.4%, the results of socioeconomic level are generally relatively high 54.3%. There is a relationship between physical environmental factors in infants, with a p-value = 0.017 and OR = 3.692 and socio-economic factors with p-value = 0.009 and OR = 5.053 with pneumonia. There is a relationship between physical environmental factors and socioeconomic families with the incidence of pneumonia in infants.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it