Impact of dengue research funded by the Ministry of Health in Brazil
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.
Bibliographic record
Abstract
ABSTRACT This study assessed the impact of 24 dengue research projects funded by the Department of Science and Technology of the Ministry of Health, in partnership with the National Council for Scientific and Technological Development, in the years 2006, 2008, and 2012, using the dimensions of knowledge advancement, research capacity, informed decision-making, and health impacts as reference from the Impact Evaluation Framework of the Canadian Academy of Health Sciences. Data were collected through document reviews, questionnaires, and interviews with the coordinators of the dengue research projects. A total of 1,107 impacts were identified, with the majority in the dimensions of knowledge advancement (712) and research capacity (314). Within these two dimensions, notable mentions include disseminating results at conferences (390) and publishing scientific articles (166). There was less impact in the dimensions of decision-making (75) and health impacts (7); however, it is essential to highlight the dissemination of research results in the media (43) and impacts on health determinants (5). This study highlighted the diversity of impacts produced by dengue research across the evaluated dimensions, demonstrating the importance of impact evaluation in identifying benefits and justifying investments. Thus, it contributes to strengthening the capacity of the Brazilian research system to address dengue.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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