Mapeamento das externalidades provocadas pelas recentes epidemias de dengue nas contas da Prefeitura Municipal de Ribeirão Preto
Bibliographic record
Abstract
The main was to map the externalities caused by the recent dengue epidemics in the accounts of the Municipality of Ribeirão Preto and estimate the partial costs related to the disease from the perspective of the SUS. This is a retrospective study, analyzing the costs related to dengue epidemics through the components: human resources, medicines, supplies, and hospitalizations related to the disease in the city of Ribeirão Preto and subsequent comparison between the epidemic years (2016 and 2019) and endemic diseases (2017 and 2018) and assessment of the economic and budgetary impact. The partial cost estimate and budget impact compared to the epidemic and endemic years was 15,484,446.83 BRL, the excess expenditure on NS1 kits in the epidemic years 2016 and 2019 was 142,549.97 BRL, epidemic years an average of 1,623% more was spent on hospital beds and indirect costs generated an additional cost of 354,624.24 BRL. This initial economic assessment provided information on the costs of the priority components related to dengue and, consequently, support for managers' decision-making and better planning of disease control and prevention activities, as well as guidance for better allocation of budgetary resources.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".