Spatial Analysis of The Influence of Residential Density on The Spread of Tuberculosis Cases in Pasar Rebo General Hospital Service Area
Why this work is in the frame
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Bibliographic record
Abstract
Background: Based on statistical data, in 2021 tuberculosis cases in the DKI Jakarta area reached 26,854, an increase of around 21% from 2020, 22,156 cases. Aims: This Study focuses on the lavel of administrative area whether a residential density shows significance in the spread of Pulmonary Turberculosis (TB) cases. Methods: The research carried out by a descriptive quantitative research in the Pasar Rebo General Hospital. Results: The distribution of patients in the Pasar Rebo General Hospital is not affected by the total population density found in a sub-district area. After the research was carried out in a smaller administrative scope, namely at the sub-district level, it was began to show a correlation between population density and the spread of pulmonary tuberculosis. Using a spatial approach, the research shows that there is a casual relationship between the cases of the spread of tuberculosis and the density of a residential area. Conclusion: Based on the data obtained and the spatial analysis, this study shows that the population density variable show the percentage level of the spread of a case of Pulmonary TB. But in this case it must be seen at a level of the smallest administrative area, namely at the sub-district level.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it